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ATTITUDES OF HEALTHCARE FACULTY TOWARD INTERPROFESSIONAL
EDUCATION AND INTERPROFESSIONAL
HEALTHCARE TEAMS
A Dissertation
Presented to
the
Faculty
of the
School of Nursing
Widener University
In Partial Fulfillment
of the Requirements
for
the Degree
Doctor of Philosophy
by
Maria Olenick
School of
Nursing
August
2012
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WidenerUniversity
School of Nursing
Title
of
Dissertation:
Attitudes of Healthcare Faculty Toward
Interprofessional Education and Interprofessional
Healthcare
Teams
Author:
Maria
Olenick
Approved by:
Dr, Lois R
Allen,
chair
Dr.
Lynn
Kelley
Dr.
Thomas Young
Dr.
Barbara
Patterson
Dr. G. Jean Klein
Date:
August
2012
Submitted
in
partial fulfillment
of
the requirements
for the degree of
Doctor
of hilosophy
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Copyright by
Maria
Olenick
2012
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Dedication
To
Kayla and Sofia,
you
have inspired me to achieve
great
things so that
I
may
be
a
role
model to you to
achieve even greater
things. Dream
big, work hard, make
your
own
opportunities,
take risks, and remember to always
do
whatever makes you happiest.
I
love you.
iv
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Acknowledgments
I
wish to extend
my
sincere appreciation and acknowledge those who have
assisted, guided,
and supported me throughout this dissertation.
To my
family,
particularly
my
parents,
I
am deeply grateful
for everything you
have done
for
me
from
your
consistent
words
of
encouragement, to your
help with loaning me
tuition to sustain
my
work. I could not have done this
without
you.
To
my brother P.J., who claims to be the smarter one of
the
two
of
us, I am deeply
grateful
for
the
relationship
we have. Most people
are
not
as
lucky
to
have parentsor
a
brother who
loves
them as much
as I
know
I am
loved
by
you.
To Kayla
and
Sofia,
of
all I
have accomplished so
far
in my
life, you are
truly my
greatest accomplishments. There has been no greater inspiration
than
the looks
in your
eyes.
To my husband,
Chris,
thank you for having the courage to move us
to
paradise
where I was able
to
finish
out
this dissertation as I looked out
at
palm trees.
This
dissertation
has been
a long,
arduous journey with
a final bonus of forever
living among
the tropical breezes and warm ocean waters.
To my dissertation committee,
my
chair Dr. Lois Allen,
Dr. Tom
Young, and
Dr.
Lynn Kelly, I am deeply grateful
for
the countless hours
you
have offered your expertise.
Your constant guidance, support,encouragement, patience, insight, and wisdom have
seen
me
through the
past few years. Dr.
Lois Allen, you
were
the first faculty
member
I
met
at Widener.
Although you probably
haven't
known it,
from
that
first day
forward
I
have considered you a role model
and mentor
to my doctoral work. Your dedication to
v
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students, your kindness, and the unbelievable
way
you transitioned me from being
frightened
of
statistics to understanding and loving quantitative research has been
amazing.
And finally, to my classmates and colleagues and those I met throughout
my
Widener years, thank you
for
the friendships.
We
have had great
fun.
I
have
met
such
an
interesting
mix of people. I am
lucky
to
have
made so
many valuable
connections
with
so many great nurses and nurse educators.
vi
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Abstract
Quality healthcare
is
affected by how well healthcare professionals work together and
may also be influenced by attitudes toward interprofessional healthcare teams. Problems
with
interprofessional communication can have
a
negative influence on patient care and
services.
The
literature documents evidence of the negative impact of interprofessional
communication problems on patient care issues, includingdelays in patient care, wasted
staff time, and serious adverse patient consequences. Due to the negative impact on
patient care
and
services
that
interprofessional tensions can create, improved
collaboration,
improved
communication,
and
team building have been advocated.
This descriptive correlational and comparative
study
explored healthcare faculty
(HCF) attitudes toward interprofessional education
(EPE)
and interprofessional healthcare
teams
(IPHCT), HCF perceptions of subjective
norms
(SN), the influence
of SNs on
HCF
intent to engage
in
IPE, and HCF intent to engage in IPE.
In
addition, differences among
seven disciplines
of HCF
attitudes toward IPE and IPHCT and intent
to engage
in IPE
were explored.
The
conceptual basis
for
this study was the Theory
of
Reasoned Action
(TRA) by Fishbein and Ajzen,
first
published in 1975. TRA explains the
links
among
attitudes,
SNs, intention,
and
behavior
and provided
an
approach
for examining
healthcare
faculty intentions
to
engage in
IPE.
Schools
that offer accredited baccalaureate and/or higher degree programs in
nursing, medicine, pharmacy, physical therapy, occupational therapy, physician assistant,
and/or
social
work were
identified. Stratified
random sampling was used
to ensure
that
the
population surveyed was
representative of the
target population.
The actual sample
vii
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for
this
study included a total
of 439
healthcare faculty from the seven healthcare
professions nationwide.
Data
collection methods included
a
Demographic
Data Form
and two research
instruments
to
measure attitudes toward IPE and attitudes toward IPHCT. Subjective
norms
were measured
using
two single item, continuous, 7-point magnitude rating scales.
Intent to
Engage
in BPE was measured using
a
single item, continuous, 10-point,
magnitude rating scale.
Statistical methods used to analyze
and
interpret the data
included
descriptive statistics, stepwise multiple
regression, and multifactorial
analysis of
variance.
Research questions, findings, additional analyses, implications for nursing,
conclusions,
generalizability, and recommendations for future research were discussed.
This study contributes
to the body
of
knowledge
for
nursing and
six other
healthcare
disciplines concerning IPE. Nurses responded favorably regarding their attitudes toward
IPE and IPHCT. IPE has the potential to influence
patient
quality of care and lead to
better working
relationships
with
other healthcare
providers.
viii
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Table of Contents
Page
Dedication iv
Acknowledgements
v
Abstract vii
Table of
Contents
ix
List
of
Tables
xv
List of Figures xvii
List
of
Appendices xviii
Chapter1
1
Background 1
Aims of
the
Study
11
Research Questions
11
Theoretical Basis of
the Study 12
Theory of
Reasoned Action
12
Application of the Theory of
Reasoned
Action
16
Definitions
of
Terms
18
Assumptions
of the Study 20
ix
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Significance of Study 20
Nursing Education 21
Nursing Research and Science 23
Nursing Practice 24
Chapter Summary 27
Chapter II 29
Literature Review 29
Gaps
in
Existing Knowledge 29
Interprofessional Education 30
Definitions of Interprofessional Education
30
Interprofessional Education Research
37
Interprofessional Healthcare Teams 47
Summary of Interprofessional Education and Interprofessional Healthcare Teams
Literature 53
Theoretical Literature 55
Fishbein and Ajzen's Theory of Reasoned Action
Theory of Reasoned
Action
Research
55
56
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Page
Theory
of
Reasoned Action, Interprofessional Education and Interprofessional
Healthcare
Teams
62
Summary of
Theoretical Literature
62
Faculty and Interprofessional Education and Interprofessional Healthcare
Teams 63
Summary
of
Faculty and Interprofessional Education and Interprofessional Healthcare
Teams
66
Chapter Summary 66
Chapter in
68
Methodology
68
Research Design
68
Sample Selection
and
Size
69
Selection of Healthcare
Faculty
69
Instrumentation 81
Demographic Data
Form
81
Attitudes Toward Interprofessional Education 82
Attitudes Toward Interprofessional Healthcare Teams
84
Subjective
Norms
85
Intent
to Engage
in
IPE 88
xi
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Page
Data Collection 89
Procedures for Data Collection 89
Protection of
Human
Subjects
92
Risks 93
Benefits
93
Costs
and Compensation
93
Confidentiality 94
Alternatives
and
Right to
Withdraw
94
Delimitations 94
Data Analysis 94
Missing Data 95
Descriptive Statistics 95
Chapter Summary 97
Chapter
IV
99
Findings 99
Research Questions 99
Research Questions One, Two,
and
Three 99
Research Question
Four 103
xii
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Page
Research Question Five 104
Additional Analyses 105
Statistically Significant Additional Findings 106
Non-Significant Additional Findings 110
Positive Factors Influencing Engagement in IPE
110
Negative Factors Influencing Engagement in IPE 112
Category Reduction 113
HCF
Percentages
of Positive and
Negative Factors Reported
115
Chapter Summary 115
Chapter V 117
Discussion, Implications, Conclusions, and Recommendations 117
Discussion
of
Research Findings
117
Research Question One,
Two,
and Three 117
Discussion of Research
Question
Findings
126
Additional Analyses 126
Significant Findings 126
Non-Significant Findings.. 129
xiii
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Page
Discussion
of
Positive and Negative Factors that Influence HCF Engagement
in
IPE
131
Positive
and
Negative
Factors Discussion 134
Methodological Issues
135
Generalizability of
the Findings
137
Conclusions
of
the Study 137
Nursing Implications 139
Contribution to Nursing Education
139
Contribution to
Nursing Research and
Science 143
Contribution to Nursing Practice 145
. Recommendations for Future Research 147
Chapter
Summary
147
References 149
xiv
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List of
Tables
Page
Table
1
Number
of
Health Discipline Programs per Census
Bureau
Regions
and
Type of
Program and Number Randomly Selected
for
Study
71
Table
2
Frequencies and Percentages
of Sample
Characteristics
75
Table
3
Descriptive Statisticsof Sample Age
and Experience
78
Table
4 Cronbach Alpha Reliability Coefficients of Attitudes Toward EPE and IPHCT
82
Table
5
Descriptive Statistics
of Attitudes
Toward
IPE,
Attitudes
Toward
IPHCT,
Subjective Norms, and Intent to Engage in IPE
100
Table
6
Pearson Correlations of
Attitudes with
Intent to Engage in EPE
103
Table 7 Stepwise Multiple Regression of Health Care Faculty Attitudes Toward IPE,
Attitudes Toward IPHCT and Intent to Engage
in IPE 104
Table
8
MANOVA Comparing
7
Disciplines
of
Health
Care Faculty on Attitudes
Toward IPE
and
Attitudes Toward IPHCT 105
Table 9
Pearson
Correlations of Subjective
Norms
for
Faculty
Colleagues and
Subjective
Norms for School'sAdministrators
with
Intent
to Engage in
IPE
.. 106
Table
10
Stepwise Multiple Regression of Health Care Faculty Attitudes Toward IPE,
Attitudes Toward
EPHCT,
Subjective Norms for Faculty Colleagues,
Subjective Norms for School'sAdministrators and Intent to Engage in IPE.... 107
Table
11
Results
of
f-Test Analyses Comparing Groups
from
Demographic Variables
on the Research Variables
108
Table
12
15 Initial Categories of Positive Factors
Influencing
Engagement
in IPE
Ill
xv
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Page
Table 13 17 Initial Categories
of
Negative Factors Influencing Engagement in
EPE....
112
Table 14 Percentage of Positive Factors and Negative Factors Influencing Intent to
Engage in IPE Reported by Each HCF
Group
115
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List of
Figures
Page
Figure 1. Model
of
TRA 17
Figure 2. Application
of
TRA to current study
18
Figure 3. Interdisciplinary Care: Disciplines interact but still separately accountable....
35
Figure 4. Multidisciplinary Care: Disciplines stand alone 36
Figure
5.
Interprofessional Care: Disciplines
are
interlocked and work in concert
with one another
37
Figure
6.
Revised application
of the
TRA model
based on
study
findings
128
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List of
Appendices
Page
Appendix A: Letter of Explanation 169
Appendix
B: Demographic
Data
172
Appendix C: Attitudes Toward IPE 175
Appendix D: Attitudes
Toward
Interprofessional Health Care Teams 177
Appendix E: Institutional Review Board Approval 179
Appendix F: Examples of Positive IPE Quotes of Initial 26 Categories 180
Appendix
G:
Examples
of
Negative IPE Quotes
of
Initial 26 Categories 182
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1
Chapter I
Background
Quality healthcare is
affected
by how well healthcare
professionals work together
and may
also
be influenced by attitudes
toward
interprofessional education (IPE) and
interprofessional healthcare teams (IPHCT).
"Various
professions are often in collision
and largely ignorant
of
the practices
of
each
other"
(Gilbert, 2008, p. S12). Problems
with interprofessional communication
can have
a negative influence on patient care and
services. Williams et
al. (2007) documented
the
negative
impact of
interprofessional
communication problems on patient care issues including delays
in
patient care,
wasted
staff time,
and
serious
adverse patient
consequences. Rosenstein
and
O'Daniel (2006)
found that disruptive behaviors that affect healthcare
teams
negatively
may lead
to poor
quality patient outcomes and adverse events for patients.
Due to the negative impact on
patient care and services that interprofessional tensions can create, improved
collaboration,
improved communication, and team building
have
been advocated.
Interprofessional teams improve patient safety and quality of care (Lingard, Espin, Evans,
& Ha
wry uck,
2004).
The goals of this study were to investigate healthcare faculty (HCF) attitudes
toward interprofessional education (IPE)
and
interprofessional healthcare teams (IPHCT)
and HCF intent
to
engage in IPE.
The
contribution
of
attitudes and subjective
norms, as
conceptualized
in
the Theory of
Reasoned Action (TRA) (Fishbein
&
Ajzen, 1975) in
predicting
intention to implement DPE,
was also
investigated. Olenick,
Allen, and
Smego
(2010a) stated that IPE
is
an andragogical interactive experiential learning and
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2
socialization process. An extensive literature search and concept analysis by this
researcher revealed that IPE occurs
when
two
or
more members
of
a healthcare team,
who participate in either
patient
assessment
and/or management,
learn with, from, and
about each other as they collaboratively focus on patient-centered care
and achieving
optimal
health
outcomes. In IPE,
knowledge
and value
sharing
occur
within
and across
disciplines.
IPE was first identified as an essential healthcare education element in 1978 by
the World Health
Organization (WHO). In 1984, WHO
recommended
that healthcare
professional students
engage
in shared learning to improve their
skills
in
solving
complex
health
and
social care problems
and
deliver healthcare
based on
common values,
knowledge,
and
skills.
In
1988, WHO
assessed
IPE
efforts, identified IPE gaps,
identified IPE organizations, identified
research
contributions
to
IPE and initiated
development
of
a
conceptual framework in a multiprofessional education report. More
recently,
WHO
announced
the
launch
of its
study
group
on
DPE
and
collaborative
practice
consisting of
25
experts on education, practice, and policy from around the
world
(Yan,
Gilbert, & Hoffman,
2007) and in 2010 published the WHO Framework for
Action on
Interprofessional Education and Collaboration. Therefore, IPE
is
not
a
new concept to
healthcare professionals. However,
it
is a
topic
of
recent
interest
and
extensive
discussion
and
debate because it
prepares
healthcare
professions
to
work
in dynamic,
challenging, contemporary health systems where
mutual respect
and collaborative care
contribute to improving patient outcomes (Wilcock, Janes, & Chambers, 2009). As such,
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3
IPE stands as an alternative to more traditional hierarchical models of both healthcare
professional
education and healthcare delivery.
The
Institute
of
Medicine (IOM) issued a report entitled To err is
human:
Building a safer healthcare system (Committee on
Quality
Healthcare in America
and
Institute of Medicine [Committee],
1999).
This report indicated
that as
many as 98,000
preventable
deaths occur per year.
Lack
of
interprofessional
collaboration
and effective
communication
are
attributed to these preventable errors
that
cause more
death than
motor
vehicle
accidents,
breast
cancer,
and AIDS. In 1999, the
committee recommended
that those who work in interprofessional teams should be
trained
in interprofessional
teams.
Two later reports concluded that all healthcare student education should focus on
patient-centered care, which is
promoted
by IPE. The
first
report, Crossing the quality
chasm: A new
health system
for the
21
st
century
(Committee on Quality Healthcare in
America and Institute
of
Medicine [Committee],
2001),
recommended that all healthcare
professional
students should receive education
and training in
interdisciplinary
teams
related
to interdisciplinary care.
The second report, Health professions education:
A
bridge
to quality care (Greiner & Knebel, 2003), listed five competencies that
concern
all
healthcare disciplines: (a) provide patient-centered care, (b)
work
in interdisciplinary
teams, (c) employ evidence based practice, (d) apply quality improvement, and (e) utilize
informatics. The
IOM, based on these
two
reports that
reflect 10 years of literature
review
and workshops to identify concerns and develop strategies
to
improve
patient
care, concluded that healthcare professionals
must
deliver competent patient-centered
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4
care in interdisciplinary teams and identified IPE as an essential element in the education
of
healthcare professionals.
The
most
recent IOM report, The
future
of nursing:
Leading
change, advancing
health (Robert
Wood Johnson Foundation Initiative
on
the
Future of
Nursing,
at the
Institute of Medicine [IOM], 2010) calls for and
specifically
cites interprofessional
collaboration for nursing.
This vision
of
the future
of
healthcare in the U.S. defines
interprofessional
collaboration
as the
norm.
The IOM states the role of nurses
is
to
design and implement early and continuous BPE
through
collaborative classroom and
clinical
opportunities.
IPE can only be
achieved
through committed collaborative
partnerships across professions. Collaborative cultures in
this IOM
vision
are
vital in
sustaining
and continuing
improvements in
quality
of care.
Lingard et
al.
(2004) focused on daily
practice
interactions rather than ideal
or
abstract notions
of
teamwork. They studied interprofessional tensions related to
commodities,
perceptions, and
team rules that
threaten
quality healthcare
in
hospital
settings.
Ownership (of constructs and commodities such
as
knowledge, skills,
equipment,
and territory) and
trade (of concrete
items
such as
equipment and resources
and also of abstract items
such
as
respect, goodwill, and knowledge) are barriers
to
effective medical teams. They
found
that mutual support and shared goals are more
likely to contribute
to
effective medical teams because they minimize competition and
contest. Acknowledging tensions enables teams to anticipate reactions and deflect
obstructions
so
that more
effective
teams may emerge.
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5
Despite IOM directives,
WHO
recommendations, and current literature, most
healthcare professional students in the United States (U.S.) do
not
receive specific
education
about being
a
member of
a
collaborative team.
In
the U.S.,
education of
healthcare
professional students continues
to
be discipline specific and continues in
a silo
approach
at most educational
institutions (Hammick,
Freeth, Koppel,
Reeves, & Barr,
2007;
Hyer, Fairchild, Abraham, Mezey, &Fulmer, 2000). In this silo approach, health
professions are
isolated within
their
own
disciplines, or
intellectual
walls, living
within
their
own departments, professional
associations,
professional journals, and
belief
systems (Gilbert, 2008).
It
is
not
clear
in
the
literature as to
why health
professions
continue
to be isolated within their own disciplines and remain
in
their silo or discipline-
specific
approach
to educating their students.
Accrediting bodies
for
nursing,
including the
National League
for
Nursing
Accreditation Commission (NLNAC, 2012) and the Commission on Collegiate Nursing
Education
(CCNE, 2012), and
other healthcare
profession education programs
currently
require evidence of IPE curriculum integration and expectations for healthcare
professionals to function in effective teams. IPE
is
relatively new to nursing and
other
health profession curricula since nursing did not respond initially to the
2001
and 2003
IOM reports. While the published accreditation
criteria
timeline
of
change
is
not
documented
in the
literature, the current versions of
accreditation include
IPE language.
Many nursing and other healthcare faculty have not been educated this way, and
healthcare
faculty attitudes toward
EPE,
interprofessional (IP) teams and
IP
learning in
academic settings are largely unexplored. Literature regarding faculty attitudes and
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familiarity with IPE
is
lacking, with most available IPE literature originating from
Europe
or
Canada. U.S.-based IPE literature is lacking. The degree
to
which the lack
of
U.S. IPE literature and
the
abundance
of
foreign
IPE
literature
is
related
to
differences in
the
healthcare delivery systems,
privatized
physician driven
in
the
U.S.
versus socialized,
or universal, healthcare
in
Europe and
Canada, is unknown. The degree to
which
U.S.
developing literature may be similar ordifferent
from
the existing abundance
of
foreign
literature is
also
unknown at
this
time
and
will become clearer
as
more U.S.
research
and
literature becomes available.
The accrediting bodies
implementing
IPE standards
provide
social
pressures
for
healthcare educational programs to provide
evidence
that they have implemented and
are
continuing to implement IPE consistently.
These social
pressures are
one source of
motivation behind
the
recent resurgence
of IPE discussion and
debate.
For example,
in
the discipline
of
nursing, NLNAC (2010) and the CCNE (2010) have both stated that
nursing
education
programs must provide
evidence of
interprofessional
collaboration
in
interprofessional teams and during patient
care
activities.
The American Association
of
Colleges of Nursing (AACN) stated
that
one of the essentials for baccalaureatedegree
nursing graduates
is
interprofessional communication and collaboration
for
improving
patient
health outcomes (AACN, 2009).
Association of
American
Medical Colleges (AAMC)
president,
Dr. Darrell Kirch,
stated
that
interprofessional
education and
practice
has been designated
as a
key strategic
area that will
be vital to the culture
of
physicians (AAMC, 2008). Kirch also
recommended that simulation center inventories should be shared by health professional
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education
programs (AAMC, 2008)
since
simulation centers are
an
appropriate place
to
integrate healthcare professional students and create interprofessional learning
experiences.
The Liaison Committee on Medical Education (LCME) stated medical education
programs must integrate the Accreditation Council
for Graduate
Medical Education
(ACGME) competencies into curricula (LCME, 2009).
ACGME competencies include
interpersonal communication skills that
result in the
effective exchange of
information
and
collaboration
with patients, their
families,
and
other
health
professionals
and work
effectively in a team
as a
leaderor member (ACGME, 2009).
The
ACGME
competencies
also
include
systems-based practice where
students
must
demonstrate use
of
resources
effectively
including
other
healthcare professional
contributions.
The Commission on
Accreditation in Physical
Therapy Education (CAPTE, 2010)
values interdisciplinary scholarship, interdisciplinary care involvement, and
communication. The Council on
Social
Work Education (CSWE, 2010) acknowledges
the
importance of
human
relationships and
promotes
interprofessional and
interdisciplinary collaboration.
The
Accreditation Review
Commission on
Education
for
the Physician Assistant (ARC-PA, 2010) promotes interprofessional education and
practice
and
expects
physician
assistant students to engage in interprofessional team
environments.
The
Accreditation Council
for
Occupational Therapy Education (ACOTE,
2010) does
not
refer specifically to interprofessional, interdisciplinary, or
multidisciplinary education or practice within their education program accreditation
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standards; however, they do
refer
to preparation
of
occupational therapy students for the
role
of
professional
within
emerging healthcare environments.
The
Accreditation Council
for
Pharmacy Education (ACPE, 2010) stressed
interprofessional teamwork and learning throughout their guidelines. Other initiatives
involved with the development and incorporation
of
IPE into educational and practice
arenas include the Interprofessional Education
for Collaborative Patient Centered
Practice (IECPCP), the
United Kingdom
(U.K.) National
Health
Services (NHS) Choices,
and
The Association for
Prevention Teaching
and
Research
(APTR).
The
IECPCP has
formulated and developed IPE policies, formed the Canadian Interprofessional Health
Collaborative
(CIHC), developed EPE
learning projects,
and conducted
IPE research
(IECPCP, 2009).
NHS has developed
The
Center
for
Interprofessional e-Learning
(CIPeL, 2011).
The American Interprofessional Health Collaborative (AIHC) first
began
in 2007.
It is the first and only interprofessional collaborative in the U.S. (AIHC,
2011).
Globally,
additional initiatives include: the Nordic Interprofessional Network (NIPNET), which
includes Denmark, Finland,
Norway, and Sweden
(NIPNET,
2011); the National Health
Sciences
Students'
Association (NaHSSA),
a
Canadian-based student association
started
in 2005 (NaHSSA, 2011); the
International Association
for
IPE and
Collaborative
Practice (InterEd),
which was
conceived
in
Canada
and
considers itself a
worldwide
voice
for IPE (InterEd, 2011);
the
European IPE Network (EIPEN) which is
a
partnership
among Greece, Finland, Hungary, Poland, Sweden,and the U.K. started in 2004 (EIPEN,
2011); and the Australian Interprofessional Practice and Education Network (AIPPEN),
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which
includes
health professional educators
from
Australia and
New
Zealand
and
was
started in 2006 (AIPPEN, 2011).
A synthesis of the IPE literature and
research
suggests many benefits of IPE.
In
a
synthesis
of
the literature resulting in
a
concept analysis, Olenick et al. (2010a) identified
several
of
IPE's proposed benefits including negotiation,
conflict
management, shared
decision
making,
highly integrated teams,
patient-centered
care, improved
communication, mutual trust and respect, and relinquishment of
healthcare
professional
stereotypes. IPE
aims
to
eliminate
segmented education
among
healthcare professionals,
and facilitate relinquishment
of
hierarchies, misperceptions,
and
miscommunications
amongst healthcare professionals. IPE legitimizes
a
holistic approach
where
healthcare
professionals
recognize
one
another's
contributions to patient care.
It deconstructs
preconceived, inaccurate stereotyping
and
rebuilds
accurate
identities
and
knowledge for
appropriate utilization
of
all healthcare professional resources.
The
literature
also
proposes
a
number of positive outcomes
of IPE,
including: IP
learning, negotiation, leadership,
personal
growth, lifelong learning, relinquishment of
stereotypes, information exchange,conflict management, cohesion, shared decision
making, interprofessionality, improved self-esteem and confidence in professional role,
highly integrated teams, collaborative practice, patient-centered care, improved quality
of
care, improved
competence,
improved communication,
mutual trust and respect,
and
improved understanding
of
healthcare professional roles between and
among
healthcare
professionals (Olenick et
al.,
2010a).
It is
important to note, however, that empirical
evidence to support these
actual
outcomes of IPE is lacking. The literature does not
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identify any negative outcomes
of
engaging in BPE. However, the literature mentions
barriers to engagingin
BPE.
A Cochrane Review was done on the topic
of
interprofessional collaboration, one
proposed benefit
of
IPE.
The objective
was to determine the
effect of
interprofessional
collaboration on patient
care outcomes. There
were only
five articles that
met the
inclusion
criteria for this review
since
there has been very little
research
done
in this area.
The review revealed
that
improved
patient-centered
outcomes may result
from
effective
and highly-integrated teams (Zwarenstein, Goldman, & Reeves, 2009).
The time it takes to implement
DPE
depends on the degree to which it is to be
integrated. IPE
may
be simply integrated into a student experienceor a course or it may
be
integrated
into a
curricular structure, which
may
involve
a
process
over
several
years.
IPE
implementation time
frames
may vary
from
school to school. In
this study,
the
researcher explored faculty intent to engage in IPE
within
three years. The rationale for
the
three-year
time frame
was determined based on an
estimate of the time it
may
take
some
schools
to
implement anticipated
IPE
curricular changes
since curricular
changes
require planning and
approvals.
Schools
in
the U.S. that have designated centers
for
IPE
include
the University
of
Washington, the University of Minnesota, Thomas Jefferson University, St. Louis
University, and
Creighton University. There is
only
one
regional model
of IPE in
the
U.S. This
regional
model was founded
by
The
Commonwealth
Medical College in
Scranton, Pennsylvania
and
is
a
cooperative effort
of
18 colleges and
universities in
northeastern Pennsylvania that
create
experiences for the many different
types of
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healthcare disciplines from all of the participating colleges and universities in the model
(Olenick
et
al., 2010b).
Aims of the Study
The
aims
of
this study were to explore:
1) Healthcare faculty (HCF) attitudes toward IPEand IPHCT;
2)
HCF
perceptions
of subjective norms' influence on HCF intent toengage in IPE;
3)
HCF intent to engage
in
IPE;
4)
Differences
among types
of
healthcare
faculty
in
attitudes toward
IPE and
IPHCT
and intent to engage
in
IPE.
Research Questions
Research questions for this study were:
1) What
are healthcare faculty attitudes toward interprofessional education and
interprofessional healthcare teams?
2)
What are the subjective norms that influence
healthcare
faculty intent to engage
in
interprofessional education?
3) What are healthcare faculty intentions regarding engaging in interprofessional
education?
4) What
are
the relationships among healthcare faculty attitudes
toward
interprofessional
education,
interprofessional healthcare teams, and
intent to
engage in interprofessional education?
5) What are the differences
in
attitudes
toward interprofessional
education and
interprofessional healthcare teams,
and
intent to engage in
interprofessional
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education among healthcare faculty
from
various professional healthcare
programs?
Theoretical Basis of the Study
The Theory of Reasoned Action (TRA) by Fishbein and
Ajzen
(1975) served as
the theoretical basis
for this
study.
TRA,
which predicts behavioral intent and originated
within the field of social psychology, was chosen rather than
a
nursing theory because
it
appeals to a wider professional audience, which will facilitate disseminating this
particular study, since it concerns
several disciplines, including but
not
limited to nursing.
This
study was not
about
health or client
and
client care; it was
about
the education of
healthcare
professionals.
TRA is a general
theory that
has more
common ground
among
the
various
HCF
included in this study.
TRA is
most applicable to measurement
of
attitudes.
TRA has very strong, compelling, predictive use (Hartwick & Warsaw, 1988).
TRA
authors specifically identify that
the
theory was developed to
explain
behavioral
intentions rather
than
carrying out intentions (Hartwick
&
Warsaw). TRA was also
chosen over the Theory of Planned Behavior (TPB) (Ajzen, 1991),
which
purports to
predict actual behavior.
TPB implies
self-efficacy,
control,
and
a notion
that
one
person
can control something. TPB was not applicable to this study since
this researcher
did not
measure perceived behavioral control or actual behavior.
Theory
of
Reasoned
Action
Theory of Reasoned Action
(TRA)
by Fishbein
and
Ajzen, first published in
1975, provided an approach
for examining
healthcare faculty intentions to
engage
in
IPE.
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The
theory
was
first designed to predict voluntary behaviors
such
as
consumer
behaviors
and behaviors that linked a person's goal intentions and behavior intentions,
such
as
with
weight
loss.
Intentions lead to behaviors whether they are
voluntary or not since
it
is
now
accepted that there
is a
degree of uncertainty that applies to all goals even if intentions are
clear (Sheppard, Hartwick, & Warshaw, 1988). When BPE is viewed within TRA, HCF
attitudes
and social pressures are assumed to
affect
HCF intentions
to deliver EPE
to
healthcare professional students.
TRA explains the
links among attitudes,
intention,
and behavior.
The
three
main
components of TRA are attitudes (AT), subjective norms (SN), and behavioral intentions
(BI).
The
combination of attitudes and subjective
norms
predicts behavioral intentions.
TRA
has been found
to
predict
intentions
and
behaviors well
(Sheppard
et al., 1988).
There is
no feedback
or
extraneous influences between AT and SN
in
prediction
of
intention, but it is the sum
of
these that influence and predict behavioral intent.
TRA
research
(O'Keefe,
1990) has shown that
attitude is a much
stronger and more accurate
predictor
of
behavior intent than subjective norms. Therefore,
although
SNs are
useful in
TRA, attitudes are
proposed
to have a
more
significant
influence on
behavior intentions.
TRA
proposes that there
are
situations that limit the influence
of
attitude on
behavior. For example, if
a
person
has
a
very strong desire to engage in IPE but does not
have the support
to
do so, then the person
may
not
actually engage
in IPE,
despite having
a significant
positive attitude and intention to
engage
in
DPE.
TRA more
explicitly
explains
behavioral
intention,
rather
than action
or
actual behavior.
Fishbein
and Ajzen
(1975) identify
that
TRA
was developed to
explain behavioral
intentions rather
than carry
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out intentions. TRA
has
very compelling
predictive
use; however, potential
limitations
and issues exist
when
TRA is expanded beyond prediction
of
intentions to determine
actual
behavior or
goal attainment (Sheppard et al., 1988).
This
study
measured
intent
only
and
did not measure
behavior.
Fishbein and Ajzen (1975) defined attitude as a
"person's
location on
a
dimension
of
affect
or evaluation"
(p.
53). Attitudes
are developed
based
on
the strength
of a
person's beliefs
and on positive or
negative
personal feelings about
performing a
behavior.
In
TRA,
belief is "location on a probability dimension
that
links
an
object and
an attribute" (p. 53). Beliefs and feelings are
based
on a person's
perception
of how
important
or unimportant
something
is. Strength of
beliefs and
feelings may change
according to
the
internal and external influences that affect them. Therefore, attitudes
may
change
based on changes in beliefs and feelings. Attitudes
can
change over time
so
all measures using this
theoretical
model must occur at the same time.
Subjective
norms
are
the perceived social pressures to perform
a
behavior (Ajzen
& Madden, 1986). "Normative
beliefs
and
motivation to comply lead to normative
pressures. The totality
of
these normative pressures may be termed subjective norm"
(Fishbein
& Ajzen, 1975, p. 16). Normative beliefs are what a
person
thinks
others
want
or expect them to do.
Motivation
to comply
is
a person's assessment of
how
important it
is to them to do what others want
or
expect them
to
do. Subjective
norms
are a
person's
perception of what someone
of
influence wants them to
do.
Subjective norms consist of
both internal and external
influences. Internal
influences include skills,
abilities,
information,
and
emotions. External influences
include
situational or
environmental
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factors such as any conditions that contribute to the way
a
person acts or reacts (e.g.,
information acquisition, disposition,
and
physical and social surroundings).
Intentions
are
dimensionsof probability that link
a
person's intentions to action.
Behaviors
are "observable acts"
(Fishbein
&
Ajzen, 1975, p. 13). Behavioral intentions
are guided by attitudes
and
subjective
norms. Intentions
are not to be thought of as exact
determinants of future behavior.
Imperfect knowledge
of future behavior exists. TRA
describes
factors
that may affect future behavior, even with the best of intentions.
According to TRA,
behavioral intention
predicts
behavior but does
not directly cause it to
occur since behavior may be affected by three factors, volitional control, consideration of
the relationship
between
attitudes
and behavior at
the same level, and change in attitudes
over
time.
Volitional control, people's control over
their
own behavior, is the first factor that
affects behavior. For example, faculty
may
want to engage in IPE but other disciplines at
their
institution
may not
be
interested in participating;
therefore, the faculty
interested
in
IPE may
perceive that
they
do
not
have control over the situation. The second factor that
affects behavior
is that attitudes and behavior must
be considered at the same
level. For
example, if faculty
intend to fully
engage in
IPE, then they
may
not be satisfied with
only
involving one other discipline
to
share
one
lecture. IPE is an experiential, learning, and
socialization process; therefore,
lecture
alone does not meet
the
standard
of the
definition
of IPE and
is
not at the level of
IPE
as it
is
defined. The third factor that affects behavior
is
that
attitudes
may
change over time so
that behavioral
intention and behavior must be
considered at the
same
time for the data to be accurate.
For example, after one year,
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one's
attitude toward IPE may change and now the faculty
member
who did
not
intend to
engage in IPE
now
intends to engage in IPE educational activities. TRA proposes an
interactive
process
wherein the
acquisition
of new information may change a person's
attitudes,
perceptions
of subjective
norms,
or intentions
(Fishbein
& Ajzen, 1975). The
relationships among attitudes, subjective norms,
and behavioral intentions
are
presented
in
Figure
1.
Main
TRA concepts are presented
in bolded
boxes and sub concepts are
presented in boxes with thin lines.
Application
of the Theory of Reasoned Action.
Variables
in this study
represented constructs
of
TRA theory. When IPE was viewed
within TRA,
healthcare
faculty attitudes
and
subjective
norms were positioned to affect healthcare
faculty
intentions
and
ultimately behavior to engage
in
IPE
in
the
education
of healthcare
professional
students.
Attitudes
toward
IPE, attitudes
toward
IPHCT, and perceptions
of
subjective
norms were measured in this study since they were unknown factors in the prediction of
IPE implementation.
Faculty intentions to engage
in
IPE were proposed
to be a
result
of
the combined influence of attitude toward IPE, attitudes toward IPHCT, and subjective
norms
about
IPE.
In
this study,
intention to engage in IPE was postulated
to
be based on attitudes
toward
IP
concepts and the
perception
of subjective norms. This study examined various
healthcare
professional faculty attitudes toward IPE
and
IPHCT. Data collected
revealed
how likely
HCF
were to
engage
in IPE
over
the next
three years.
IPE implementation
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Internal
and
External
Influences
Beliefs and
Feelings
Attitudes
Behavioral
Intentions
Subjective
Norms
Internal
and
External
Influences
Relationship
between
attitudes
and
behavior
I *
Change in
attitudes
over time
Volitional
Control
Figure 1.Model
of
TRA.
intentions and
subsequent
behavior may be
a function of
healthcare
faculty attitudes
toward IPE
and
IPHCT in
combination with
subjective
norms related
to engaging
in
IPE.
Application
of TRA to this
study
is
presented
in Figure 2. This
study focused
on
HCF
attitudes toward
IPE
and
EPHCT,
IPE
subjective
norms, and
intent to engage
in
IPE.
However, actual
engagement
in
DPE
was not measured.
The study variables are
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Attitudes
Toward IPE
and IPHCT
Intent to
engage in
IPE
IPE
Subjective
Norms
Figure
2. Application
of TRA to current study.
represented in Figure 2 where the combination of attitudes toward IPE, attitudes
toward
IPHCT, and IPE subjective norms predict intentions to engage in IPE.
Definitions of
Terms
Interprofessional education
(IPE) is
an andragogical, interactive, experiential
learning, and socialization
process
that occurs when
two
or more members of a healthcare
team, who participate in either patient assessment
and/or
management, learn with, from,
and about each other as they collaboratively focus
on
patient centered
care
and achieving
optimal health outcomes (Olenick
et
al., 2010a).
Interprofessional
health care teams (IPHCT) are groups of health professionals
from
at
least two or more different disciplines or
professions
who share a common
purpose
and work together collaboratively and interdependently to serve
a
specific
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patient/client population and achieve the
team's
and
organization's
goals and objectives
(Curran
et
al., 2008).
Attitude
is
a state of mind or disposition (Oxford Dictionary, 2009). Attitudes are
a "person's location on a dimension of affect or evaluation"
(Fishbein
& Ajzen, 1975, p.
53).
Attitudes
toward
IPE are faculty's
feelings
and beliefs about IPE. Attitudes
toward IPE
were
measured
by
total scores on
the
Attitudes Toward IPE (AT-IPE)
instrument,
adapted
by
Curran et
al.
(2008).
Attitudes
toward
IPHCT are faculty's feelings
and
beliefs
about
IPHCT.
Attitudes
toward
BPHCT
were measured by total
scores on
the Attitudes Toward
IPHCT
(AT-IPHCT),
adapted by Curran et
al. (2008).
Subjective norms are the HCF perceptions of the extent
to
which
they believe
their faculty colleagues and
school's
administrators think that faculty should
or
should
not
engage in
EPE.
Subjective
norms
were
measured using
two
single
item, continuous,
7-point magnitude rating scales developed by the researcher.
Intent
to
engage in IPE
is
HCF's determination to act
on
and involve
oneself
in
IPE. Intent to engage in IPE was measured on
a
researcher developed single item 10-
point Likert scale of
HCF
intent to engageor continue
to
engage in IPE over the next
three
years.
Healthcare
faculty are teachers who hold an academic
appointment
within a
particular health discipline school or department, or those
members
of administration,
having academic rank in an educational institution in a healthcare discipline.
HCF
are
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members
of
specific healthcare disciplines that formally participate in the instruction,
design
of
instruction,
or
implementation
of
instruction
of
healthcare professional
students.
In this
study,
healthcare faculty
include
the disciplines
of
nursing (NU),
medicine
(MD), pharmacy (PH),
physical
therapy (PT), occupational
therapy
(OT),
physician assistant (PA), and social work (SW). HCF
self-identified as members of
the
disciplines listed above by responding
to
Question
5 on the
Demographic
Data
Form.
Assumptions
of the
Study
Assumptions
of this
study were that:
1. Faculty self-reports will
be
accurate reflections
of
their attitudes toward IPE and
IPHCT.
2. Faculty understand the definition
of IPE as
presented
to
them
in this
study.
Significance of
Study
IPE intentions and effectiveengagement in IPE are influenced by attitudes toward
IPE, attitudes toward IPHCT, and subjective norms. Negative attitudes toward
IPE and
IPHCT present barriers
to
IPE's effective implementation (Curran
et al.,
2007b). Prior
research
on
IPE has been conducted primarily with students and IPE outcomes. There
is
very little research
done
on faculty in relation
to
IPE.
In
practice, traditional role and
territoriality issues still
exist
among healthcare providers (Curran et al.). With
development
of
new and extended professional
roles
such as the doctor
of
nursing
practice (DNP) and
the possibility
that pharmacists will have prescriptive authority,
effective IP collaboration,
established through
IPE,
may diminish negative attitudes and
stereotypes and promote
a
focus on effective working relationships for
optimal
patient-
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focused
care
through facilitation and optimization of collaborative
patient
care
and
safety
(Zwarenstein et al., 2009).
Several
authors have highlighted
the
need
for
faculty development in the area of
IPE (Castro et
al.,
1994;
Freeth et
al., 2003). Over the past decade, WHO,
along with
various professional healthcare organizations, has recommended IPE faculty
development.
However, to date, faculty development in IPE
is still
lacking (Hoet
al.,
2008). If
faculty do
not receive support and development in the area of IPE, and if their
attitudes
toward IPE are not fully known,
IPE
may not be implemented
effectively. It is
unknown if IPE is currently not
being
implemented effectively because
HCF
are
uncomfortable with it or because they
are
not sufficiently knowledgeable to incorporate
it
effectively. Traditional methods
of silo
approaches
to
health discipline education are
likely to
continue
if
HCF
do not incorporate IPE appropriately (Curran et
al.,
2007).
HCF may remain isolated within territorial silos without IPE.
Nursing
Education
Traditionally, nurses have learned ontologic elements from nursing instructors
and
were socialized
exclusively
into one defining
role
(Clark,
2006).
This
insular
approach
may leave
nurses
largely
unprepared
to function
in
collaborative
teams
(Zwarenstein et
al., 2009).
The literature speaks to
IPE as
essential to
health professional
education because
of
the significance
of
all consequences generated by the phenomena
such as mutual respect, collaborative practice, and understanding
of
respective roles
(Olenick
et al.,
2010a) and the focus on patient-centered
care
with optimal health
outcomes (Curran et al., 2007;
Hammick
et al., 2007; Wilcock et al., 2009).
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Nursing education must evolve to meet accrediting body expectations by
incorporating
EPE
into existing curricular structures (Committee, 2001; Greiner
&
Knebel,
2003). It is important to
study
healthcare
professional
faculty
attitudes
toward
IPE
and
IPHCT
and
the
influences, or subjective norms, that affect intentions to
engage
in IPE.
Many
nursing faculty have
never
been educated in an interprofessional
environment and have
not
practiced in one, thus they may be uncomfortable with
interprofessional collaboration. Also, their perspective may be limited to that
of
their
own discipline's context. Health professional faculty and
current
practicing professionals
are products
of an educational system
whose approach
to teaching
and learning has
been
limited in terms
of silos
of specific ontologic discipline education (Curran et al., 2007).
In addition, there may be little direct
benefit
to faculty for
exerting effort to
implement
effective
IPE.
In addition to the increased workload
of IPE
integration, there may be
little university administrative support or recognition associated with IPE implementation
(Gilbert, 2005).
Within TRA's conceptual framework, knowledge of faculty attitudes
is
essential
for
predicting whether
or not
faculty will implement IPE.
Currently, there are no specific recommendations regarding
when
or how IPE
should be incorporated into health professions education, including nursing programs.
However, Hoffman and
Harnish
(2007)
and
Tunstall et al. (2003)
recommended that
IP
learning take
place
early on at the undergraduate
health
professions educational level
before negative stereotypical images, negative socialization, and
professional
prejudice
develop.
DPE,
early on in nursing and other health professions education, has the
potential
to
lead
to positive attitudes, improved confidence,
better
valuing
of
other
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professionals and can leave
a
lasting impression that promotes
collaborative
practice in
students' professional lives after graduation (Hoffman & Harnish). This is significant
to
nursing education, since nurses have long dealt with professional inequities in their role
as healthcare providers.
IPE was first
introduced
in 1978 by WHO. IOM
reports support
its
implementation. In 1998, Barr identified IPE as arguably overdue. It is
now
2012,
and
IPE has
still
not been
effectively
implemented
in
nursing.
This
study is important
because
it
explores
HCF
attitudes toward IPE and IPHCT, the subjective norms
associated with
engaging
in IPE,
and
their intentions to engage in IPE in
the
U.S..
Nursing
Research and Science
Research on
the topic of
IPE
will
contribute
to overall clarity, consistency,
and
understanding of IPE among educators, professionals,
and
researchers. Research is a
way
to discover, explain, and gather information about IPE and faculty attitudes that affect its
implementation. Determining faculty attitudes toward IPE
and
IPHCT, and identifying
subjective norms that influence behavioral intent may be the
first step
in understanding
behavioral intentions for
effective
IPE delivery.
IPE studies will lead to more effective
delivery and evaluation of EPE, therefore, improving IPE outcomes.
IPE education, research, and practice
may
contribute
to
development
of
IPE
nursing knowledge.
Carper (1978)
described ways
of
knowing in nursing
as empiric,
aesthetic, personal,
and
moral knowing.
IPE
empiric knowing is generated
through
research, evidence-based practice,
and
dissemination of
IPE
research. This study is
significant
because expansion of
knowledge
of
IPE,
HCF attitudes
toward
IPE and
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IPHCT, and
the
subjective norms that influence intention to engage in EPE
are
essential in
nursing as
a
result
of
IOM recommendations and accrediting
body
standards.
It
is
also
essential since
much
of the
available
literature suggests
that
IPE may contribute to
improved
patient
outcomes,
although research
needs to be done to validate this claim, the
existing body
of
literature
is
largely anecdotal.
IPE is
aesthetic
in
nature. Aesthetic knowing is
content
that cannot
be
taught
because
it is expressive,
not formal or
descriptive
(Carper, 1978).
In IPE, learning occurs
through
experiences, "This
approach
to education suggests
that
the insights and skills
acquired by the participants in an interprofessional experience are the learning itself'
(Clark, 2006,
p.
580). IPE's experiential learning component is a holistic adaptive
learning process. In IPE, intuition
and
experience
are part
of the art of collaboration in
nursing practice. IPE
is
social and collaborative in nature, which contributes to personal
knowing or encountering experiences
in
nursing (Carper).
IPE also has a large component
of
moral knowing or fundamental judgments of
right and wrong (Carper, 1978). In IPE, values and decisions are shared and respected
within and between
disciplines.
IPE
is
very different from
the
traditional method
of
learning ontological
elements from
an instructor and being socialized
exclusively into
one
defining role
(Clark,
2006).
Nursing
Practice
EPE
has
the
potential
to
influence patient safety, quality of
care,
and health
systems
improvement issues for
patients
(Ladden,
Bednash,
Stevens, & Moore,
2006).
Interprofessional collaboration among healthcare professionals improves patient
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satisfaction (Reeves et al., 2009). Presently, there are issues in nursing and medicine,
such as workforce shortages, contributing to the lack
of
collaborative practice, lack
of
patient-centered
care, and
lack
of knowledge related to professional roles
in
healthcare.
Through IPE, learners can
gain
negotiation skills, leadership
skills,
teamwork skills, and
improved communication skills.
They can
become better
able
and more prepared to
exchange knowledge and information, share
decision
making, manage conflict,
and
provide patient-centered care through a better understanding
of
respective roles (Olenick
et
al., 2010a). Evidence also
suggests that IPE learners have improved
self-esteem, self-
confidence, and competence in practice (Oandasan
&
Reeves, 2005).
Nurses'
emotions and
attitudes
affect their ability
to
work
effectively
in
interprofessional teams (Miller, Reeves, Zwarenstein, Beales, Kenaszchuk,
&
Conn,
2008). Longstanding emotions toward previous non-optimal relationships with
physicians and other healthcare providers and lack
of
appreciation
of
nursing's
contribution
to
optimal patient
care
must
be
managed before the reluctance
of
nurses to
participate in interprofessional teams can be improved (Miller et al., 2008).
Negative
emotions or attitudes
toward
previous non-optimal relationships
may
be contributing to
IPE barriers.
Understanding healthcare faculty attitudes
toward
IPE, attitudes toward
IPHCT, and
the subjective
norms that influence intentions to
engage
in EPE
is
important
since these factors may affect their ability
to
work in teams effectively and implement
IPE
effectively.
IPE may counteract negative stereotypic images (Tunstall-Pedoe, Rink,
&
Hilton,
2003). Nurses have been negatively stereotyped as hand-maidens to physicians, angels,
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battle axes, sexy,
saucy, kinky, and naughty
(Ferns &
Chojnacka,
2005;Jinks,
2004;
O'Dowd,
1998). This raises very important issues regarding how nursing is exploited
in
the media
and entertainment
industries. It also
raises very important
issues
regarding
how nursing students perceive their own role and how other healthcare students perceive
nursing
students.
Decentering
the
healthcare environment,
through
interdisciplinary
development, could assist nursing in recognizing the unique qualities, strengths, and
contributions
nursing
brings to healthcare and
research
(McBride, 2010). IPE
may
assist
nursing in overcoming frustrations and realities regarding the external locus of control
(social,
political, and
economic
forces)
inequities
and
hierarchies that
have, for
so
long,
overshadowed
nursing's
professional
status.
IPE, early on in nursing education, may
eliminate the
barriers nursing
has faced
in
achieving well respected, equitable
professional
status
in
the
healthcare team.
IPE may foster mutual respect and mutual trust among healthcare professionals,
may
improve
quality
of care,
and
can
make healthcare teams cohesive
by
relinquishing
stereotypes
(Olenick
et al.,
2010a).
Lifelong learning and personal growth
are also
benefits
orconsequences
of DPE. The
most desired consequences
of
IPE, however,
are
collaborative practice
and
patient-centered care. Understanding how IPE influences
healthcare professionals' ability
to
work together effectively has tremendous significance
since
collaboration
and
highly integrated teamwork are
essential to
patient safety and
quality
of care
(Olenick
et al., 2010a; Greiner &
Knebel,
2003).
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Chapter Summary
In
the current state
of
healthcare crisis in the U.S., IPE is particularly timely.
Through effective incorporation of IPE into health
professional education
curriculum and
professional
settings, optimal
patient-centered
outcomes
as
a
result
of
truly collaborative,
integrated teams addresses
the problems with
fragmentation in
healthcare
delivery and
separation among healthcare professionals.
IPE may reduce
segmented
education
between healthcare professionals, therefore relinquishing the hierarchies, misperceptions,
and miscommunications.
It
can legitimize
a
holistic approach where healthcare
professionals recognize
one another's
contributions
to
patient
care. It
can deconstruct
preconceived inaccurate stereotyping and rebuilds accurate identities
and
knowledge for
appropriate
utilization
of
all healthcare
professional resources.
This
study
is
also particularly timely
since
nursing accreditation bodies and other
accrediting bodies for healthcare professional education
now
require evidence
of
IPE
curriculum integration.
In
addition
to the IOM, accrediting
bodies
and organizations
concerned about health professional education
are
the powerful forces behind the push
for IPE. These entities have
the
capabilityof requiring evidence of
structured
DPE
activity
and
monitoring
for
collaborative
practice. IP collaboration contributes to
improved healthcare and patient outcomes (Zwarenstein et al., 2009).
IPE is
still not common
in
healthcare professional programs in the U.S. Very
little
research has been
done on
faculty in relation to IPE. Most
of
the IPE research that
has been done relates to students and has demonstrated the benefits of IPE
to
patient
safety, quality of care, and professional practice. Studying faculty attitudes toward IPE
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and IPHCT,
subjective
norms, and intent to
engage
in IPE,
within the
Theory
of
Reasoned Action (TRA)
provided
insight into the prediction
of
faculty behaviors or their
intent to engage in IPE into their courses and
curricular structures. Within
the
model of
TRA, the combination
of
faculty attitudes and subjective norms predicts intentions to
engage in IPE. IPE
research
will contribute to the effective delivery of and engagement
in IPE.
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Chapter II
Literature Review
The aims
of
this study were
to explore
healthcare
faculty
(HCF) attitudes
toward
IPE and interprofessional healthcare teams
(IPHCT), HCF
perceptions
of
subjective
norms' (SN) influence on HCF
intent
to
engage in IPE,
HCF
intent to engage in
IPE
within three years, and
differences
among
types
of HCF attitudes
toward
IPE
and IPHCT
and intent to engage in IPE. A review
of the
literature concerning the concepts
of
IPE
and DPHCT,
Fishbein
and
Ajzen's
Theory
of Reasoned Action (TRA) (1975)
and faculty
attitudes towards IPE and IPHCT
is
presented.
The literature reviewed was primarily from the journal
that
focuses on IPE, the
Journal of Interprofessional Care (JIPC). Literature was also reviewed
from
the
disciplines
of nursing, medicine, pharmacy, allied health,
social
work, and health
professional education. Pubmed, CINAHL, ERIC, Scopus, and Ovid online searches
were
supplemented
with
a manual
search and
ancestry
methods.
Searches
included the
keywords: interprofessional, interprofessional education, interprofessional
practice,
interprofessional learning, interprofessional healthcare teams and faculty attitudes
towards IPE and
IP
healthcare teams. In
addition,
the
writings
of
Fishbein and
Ajzen
and
related TRA literature were searched.
Searches included years
1990
to
2011.
Gaps in
Existing
Knowledge
This
literature review
presented
some
challenges for the researcher.
The
combination of computer-based, manual,
and
ancestry
search
methods
revealed
that
empirical literature
is
lacking in many
of
the topic areas concerning IPE.
In addition,
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some of
the
available
empirically-based literature reviewed were found
to offer
too
little
details or useful information. Therefore, some studies were included in this literature
review
that
were not exceptionally
well
done.
Interprofessional
Education
Definitions
of
Interprofessional
Education
A comprehensive literature review
of
this complex concept revealed that there
are
several different interpretations, overlapping terminologies, interchangeable terms and
a
lack of uniformity of a definition
for
IPE.
This general lack
of
clarity contributes to
misunderstandings of IPE and creates barriers to optimal BPE implementation. There
are
no definitions
of
IPE in the English dictionary or encyclopedia. There are no dictionary
or encyclopedia definitions for interprofessional or interprofessionality. Education
is
defined
by
Merriam-Webster
(2008) as
the
action
or
process
of
knowledge development.
When IPE was searched online, search sites returned only healthcare and
healthcare education related materials and information.
The
World Health Organization
(WHO) (2010) stated that EPE "occurs
when
two
or
more professionals
learn
about, from
and with
each other
to
enable
effective
collaboration
and
improve
health
outcomes" (p.
13).
The Center for
Advancement
of
IPE (CAIPE,
2002) defined
interprofessional
education
as a
teaching and
learning
process that
fosters collaborative
work and
improves
quality of care
between
two or
more professions.
It
occurs when students learn with,
from,
and about
one another. This definition
has
been adopted by the Canadian
Interprofessional Health Collaborative (CIHC, 2008). The CIHC
added
that BPE occurs
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when health care professionals learn collaboratively within and across disciplines to
acquire knowledge, skills,
and
values
needed
for working in healthcare teams.
The Interprofessional Education for Collaborative Patient Centered Practice
(EECPCP, 2008) defined IPE as learning together to promote collaboration. They stated
there are three components to IPE including: 1. socialize healthcare professionals to work
together; 2.
develop
mutual understanding and respect
for various disciplines,
and;
3.
impart collaborative practice competencies.
Clark
(1993)
defined IPE as students learning together as
a
team. Integration is
characterized by interdisciplinary contributions. Implementing IPE in the education
of
health professions' students
prepares
them to
work
together more effectively.
Clark
(2006) proposed utilization
of
theory to
guide
IPE research
and
recognized that most
IPE
research is
anecdotal,
descriptive,
and missing usage
of
theoretical
frameworks.
Clark
(2006) identified that contemporary healthcare systems require health professionals to
work
in highly integrated teams.
Barr (1998)
did not explicitly define IPE. Instead, he
suggested
competencies to
describe IPE. He noted
how
relationships are strengthened as professionals begin to
understand
their own roles and the roles of others, which eliminates stereotypes and
generates mutual trust.
Barr
described IPE
as a
rewarding
experience
that improves
collaborative
practice
and may be
transferred
to other members of the healthcare team.
The
competencies suggested by Barr were further described by Mitchell, Harvey, and
Rolls (1998)
as
having been derived from
England's National
Occupational Standards in
Professional Education.
They are
based
on "key roles"
that
speak to developing
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professionalism,
developing research, developing
relationships, promoting
effective
communication,
prioritizing
values that promote the
rights,
responsibilities and diversity
of
others, becoming
a
reflective practitioner, optimizing
physical
and social health,
patient empowerment, ongoing assessment,
and
care
planning.
D'Amour
and Oandasan (2005) described IPE as an intervention for achieving
interprofessionality. Interprofessionality
seeks to
achieve
a
cohesive, less fragmented
system of care where
healthcare
providers
practice in
an integrated fashion. The
authors
clearly differentiated interprofessionality from interdisciplinarity and proposed that
interprofessionality
is a
new concept defined as
"the
development
of a cohesive
practice
between professionals from
different
disciplines. It
is the process by which professionals
reflect
on
and
develop
ways
of practicing
that
provides
an integrated and
cohesive
answer
to the
needs of the client/family/population"
(D'Amour
& Oandasan,
p.
9). IPE
is a
transparent blend of disciplines coming together
with
shared goals.
In
contrast,
they
described interdisciplinarity as
"a sum of
organized knowledge, and
the emergence of
numerous
disciplines"
that
"has
resulted
in an
artificial division
of
knowledge that
does
not match
the needs of the researchers" who investigate IPE
(D'Amour
& Oandasan,
p.
9).
Reeves et al. (2008) defined
IPE
as
"any
type
of
educational training, teaching
or
learning session in
which
two
or
more health
and
(
social care professions
are
learning
interactively" (Reeveset al., p. 5). They described
IPE's
purpose as working
collaboratively
to
take
care of
patients effectively.
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As evidenced through
identification
of country source
or
origin
of most
of
the IPE
literature,
BPE
is
much more
accepted
and widespread in
Canada
and
the
United
Kingdom
(UK)
than it is
in
the United States (U.S.) although
the
literature does not provide any
explanation
as
to
why
this
would be so.
In the U.S.
there are
currently
five
Centers
for
IPE including
the University of
Washington in Seattle, University
of
Minnesota in
Minneapolis,
Thomas Jefferson
in Philadelphia, Saint
Louis
University in Missouri, and
Creighton University in
Omaha, Nebraska. There is only one regional model of
Interprofessional Education in the U.S.. This regional model, located in northeast
Pennsylvania,
is a
cooperative effort of
16
colleges and universities that
form
the
Northeast
Pennsylvania Interprofessional Education
Coalition
(NEPAIPEC)
founded
by
The
Commonwealth Medical College.
Many authors do
not
define IPE in their research articles.
Of
the authors who do
utilize
a
definition in
their
article, whether
reporting
findings from empirical data or
presenting
descriptive or
anecdotal
information,
most
use the
Canadian
CAIPE or CIHC
definitions. In some
BPE
exercises described
in
the literature, students
from various
healthcare disciplines
are
immersed
in a
learning scenario in
a profession other than their
own. In
this
way, they learn through
their
interactions from one another,
through a
decentered approach where they
see
and
experience
patient care cases through the lenses
of other professions
so as
to become aware of
viewpoints other
than
their
own (Westburg,
Adams, Thiede, Stratton, & Bumgardner, 2006). Students working through IPE cases
together in this sense
break
down communication barriers and facilitate acquisition of
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knowledge about other
professional
roles (Westburg et al.). Disequilibrium
and
shared
inquiry enhance learning (Conceicao & Taylor, 2007)..
There are two relatively
new
journals that focus on EPE.
The
Journal
of
Research
in Interprofessional
Education
(JRDPE) has
adopted
the
CAIPE definition
of
IPE.
The
Journal of Interprofessional Care
(JIPC)
does not describe or refer to a preferred
definition.
The
concepts
most
closely related
to
IPE include interdisciplinary education
and multidisciplinary education. Merriam-Webster (2008) defined interdisciplinary as
the involvement of
two
or
more disciplines that share information and decisions together.
However, the disciplines implement education separately and are separately accountable.
Interdisciplinary
education
lacks
a
clear
process and coordination
of education of the
disciplines since although
the disciplines practice
and
share together they
are not
truly
collaborative
and integrated
with priority focus on a patient (Olenick et al., 2010a).
Multidisciplinary is defined as
a
"co-existence"
of
several disciplines meaning
they may work side by side but without much interaction (Merriam-Webster, 2008).
"Shared learning" is
another term that
is
sometimes incorrectly used
to
mean IPE.
There
is
no definition found
for
this concept; however,
it
implies that students learn together but
it does
not specify the manner in which teaching/learning happens.
Figures 3
and
4 illustrate representations of
interdisciplinary and
multidisciplinary
approaches to health care. These terms are
related
to, but different from,
interprofessional care. In an interdisciplinary representation (Figure 3), there
is
interaction
between professions
but
no
evidence of
shared
values or shared knowledge.
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Nursing
atient
1
^ Medicine
Social
Work
Pharmacy
Figure
3.
Interdisciplinary
Care: Disciplines interact but still
separately accountable.
There is no evidence that the care is necessarily patient centered
and
each circlestands
alone, meaning it is separately accountable.
In a multidisciplinary
representation
(Figure 4), again each circle stands alone,
meaning separate accountability. There
is
no sharing between disciplines in
multidisciplinary practice. Disciplines are interacting
with
the
patient but
not
with
one
another.
IPE involves two or
more
professions. Therefore, the literature does not speak
exclusively
to one
profession or another. Currently, most
of
the literature on IPE comes
from a
medical
education
perspective.
Referring to Figure
5,
in IPE, the circles are
interlocked, including
an
interlocking with
the
patient
circle.
Circles do
not
stand alone.
There are
shared values, shared knowledge, and shared decision making. All disciplines
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Nursing
4
^ P a t i e n t ^
^
e d k l n e ^
Pharmacy
Figure
4.Multidisciplinary
Care: Disciplines
stand alone.
work
in
concert with one another.
The
patient has the largest, middle
circle
because all
care
is
patient centered. IPE is a transparent
blend
of disciplines coming
together
with
shared goals.
A comprehensive literature review of IPE revealed that
there are
several different
interpretations, overlapping terminologies, interchangeable terms,
and
a general lack of
uniformity of a definition and conceptual clarity for
IPE.
This lack of clarity contributes
to misunderstanding
and
creates barriers
to
optimal IPE research and implementation. A
concept analysis by this researcher resulted in
a
synthesis definition of IPE as an
andragogical interactive experiential learning and socialization process. IPE occurs
when
two
or
more members
of a
healthcare
team (who
participate in
either
patient assessment
and/or management) learn with,
from
and
about each
other as they collaboratively focus
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Nursing
Advanced
Practice
Nurse
Medicine
Pharmacyutrition
Patient
Physical
Therapy
ocial
Work
Occupational
Therapy
Physician
Assistant
Figure
5.Interprofessional Care: Disciplines are interlocked and work in concert with
one
another.
on
patient
centered care
and achieving optimal health
outcomes.
In
IPE,
knowledge and
value
sharing occurs
within and
across disciplines
(Olenicket
al.,
2010a).
Without a clear understanding
and
consensus of what IPE is
and
how to achieve
it, fragmentation
in
the effective delivery of IPE and
between
healthcare disciplines will
continue (D'Amour &
Oandasan,
2005). Attitudes and perceptions towards others in
healthcare and authenticity
of
IPE are essential for positive interprofessional outcome
achievement (Hammick, Freeth, Koppel, Reeves,
&
Barr, 2007).
Interprofessional Education Research
Hind et
al.
(2003) described interprofessional perceptions
of
healthcare students.
They surveyed 933 students
in
the
United Kingdom
(U.K.) from
nursing,
medicine,
dietetics, pharmacy, and physiotherapy
programs. The study
was
based on
social
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psychology theories including Allport's "contact hypothesis" which
"assumes
that
contact between members
of
different groups helps them to discover mutual similarities
and change stereotypical attitudes towards each
other"
(Hind et al., p. 2£). They used
"realistic conflict theory"
which
"suggests
that inter-group attitudes and behavior reflect
objective inter-group relationships" and"predicts that where groups hold divergent
objectives they will have hostile and discriminatory inter-group relationships, whereas
where
groups have common objectives, conciliatory behavior
between
groups
will
emerge"
(p.
22).
Hind et al. also used Social Identity Theory (SIT) and
Social
Categorization Theory (SCT) which explain inter-group discrimination (favor in group as
opposed
to
out
of
group members) and where self concept
is
based on identity
of a
member
of
the group
to
which they belong.
Hind
et al. (2003) described
their study
sample and
methodology well. First year
medical
students (n = 350),
nursing students
(n
=
390),
pharmacy
students
(n
=
102),
physiotherapy
students
(n =
67),
and dietetic
students
(n
= 24) from a university
in
the
U.K.
participated
(N = 933). The questionnaires used for this study included the
Healthcare
Stereotypes
Scale,
the
Professional Identity
Scale,
and
the
Readiness for
Interprofessional Learning Scale (RIPLS).
Significant differences
in
stereotypes between groups were
found.
Dieticians
were significantly more
likely to
rate themselves
as "good communicators"
(F = 2.54,
p <
.05) when compared
to
physiotherapists.
Doctors,
nurses,
and
pharmacists were
significantly more
likely to
rate
doctors as
"caring"
(F
=
4.62,
p <
.01)
than
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physiotherapists
were to rate doctors
as "caring". Doctors
and pharmacists were more
likely to
rate doctors as "goodcommunicators"
than
physiotherapists were
(F
=
6.31,
p
<
.001). Pharmacists
were more
likely
to
rate themselves as "caring" (F = 11.79,
p < .001), "dedicated"
(F
= 5.96, p < .001), and "good communicators" F= 10.56,
p < .001) when
compared with doctors, dieticians,
nurses, and
physiotherapists. Nurses
did not demonstrate evidence of statistically significant differences
from
the other groups
regarding
stereotypes.
A significant difference in
professional
identity
was found,
in that
physiotherapists
had
significantly
higher
professional
identity scores than
pharmacists
(p
< .05).
Otherwise, all
of
the professional identity scores were
close and
indicated that
students
identified
with their own
professional
groups. Nurses were not
significantly
different from
the
other health professionals on scores
of professional
identify.
Significant differences were found between groups
in readiness
for interprofessional
learning. Nurses had
significantly higher readiness score
than dieticians, (p <
.01),
physiotherapists,
(p <
.001) and doctors, p
<
.001). The researchers discussed the
potential benefits
of incorporating
IPE very early
on in education so
students would
be
more
likely
to engage
in interprofessional
collaborative
learning without
creating
barriers
between themselves and people
of
other professions.
Hind
et
al. (2003) hypothesized
a model
of
relationships
between stereotypes,
professional
identity, and readiness
for
interprofessional learning and
tested this model as
part of this study.
Hypothesis 1
predicted
there would
be
a positive relationship between
positive autostereotyping (views
held
by students in
their
own
group)
and strength
of
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professional identity.
This
hypothesis
was
supported. Findings indicated
a
significant
low positive correlation for
the total
sample
(r
=
.22,
p
<
.001). Hypothesis
2
predicted
a
negative
relationship between positive heterostereotyping (out-group) and strength
of
professional
identity.
This
hypothesis
was not supported.
A
significant positive
correlation was found instead (r
=
.12,
p<
.02). Hypothesis
3
predicted
a
negative
relationship between strength
of
professional identity
and
readiness for interprofessional
learning.
This
hypothesis was
only supported within
the group of dietetic students
(r
= .42) and not supported for any of the other groups. Findings
for
the total sample
revealed
a significant positive correlation instead
which was
significant
(r =
.18;
p
< .001). Hypotheses
4
and
5
predicted that auto and heterostereotyping would relate to
readiness
for
interprofessional learning. These hypotheses were supported
(r =
.13;
p = 01).
Overall, the Hind
et
al. study was a very
well
done and objective in terms
of
sample,
methodology,
the
theoretical
bases, hypotheses,
and presentation
of findings.
Generalizability
of
this study
is
limited
to
the U.K. and the professions of medicine,
nursing, pharmacy, physiotherapy, and dietetics.
Westberg, Adams, Thiede,Stratton,
and
Bumgardner (2006) used standardized
patient (SP) experiences with pharmacy, medical,
and
nursing students who completed
pre and
post
IPE surveys after professional roles were
switched
mid SP session. This is
a
very limited study that was conducted in Minnesota.
Of the
48
pharmacy
students
who
participated in
the SP experience, only 26 completed
the
study survey. The
authors
did
not
discuss how many of the nursing
or
medical students completed the survey. Also,
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there is very little information about the survey
that was
used. The researchers described
the use
of
pre-experience and post-experience surveys used in this study. Students were
asked
in
the survey to
respond,
in
four
sentences or
less,
what
they
thought
about the
professional roles in
the
scenario.
The
researchers did
not
report use of any theoretical
framework, did not reveal
what
survey was used
or
give
a
description
of
the survey, and
did
not describe
the methods used
to
collect
or
interpret the data. Medical and nursing
students
received feedback
from
faculty members
from each profession
but did
not state
that any data on
medical
or nursing students was collected or part of this study at all.
Westburg's
et
al.
(2006) study results were limited
to
one academic year and had
a
low return
of
survey instruments by pharmacy students who participated. Although the
authors concluded that students enjoyed the exercise, gained valuable experience,
indicated pharmacy students gained
a
better perspective about the
roles of
other health
professionals overall and provided
a
few student quotes, noother survey results were
revealed. Findings
were presented in narrative
form. The
researchers recognized that
they need
to continue to
collect
data
to improve
the
study's validity, reliability, and
generalizability. While this
study
was
not
methodologically strong,
it
was included in
this review since
there
are very few empirical studies on
this
topic reported in the
literature.
Lidskog, Lofmark, and Ahlstrom (2007) described perceptions
of how
student
nurses ( n
= 24),
occupational
therapy students
(n
= 16),
and
social
work
students
(n
= 5)
perceived their own roles and the roles of other health professionals on
a
geriatric ward in
Sweden.
A
qualitative,
phenomenological study was conducted. Participants
were
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interviewed over a period of
three
weeks. Students were interviewed twice, once before
the three
week period on
the
ward
and once the week
after they
started on the ward.
Interviews were taped
and
transcribed. The analysis
was
appropriate for a
phenomenological approach.
Lidskog et
al. (2007) provided quotes
from the
student participants.
They
found
students from each of the professions in the study had great variations in their
understanding of one
another including variations in the perceptions
of one
another's
skills,
knowledge, responsibility, and values. For example, an OT student commented on
social
work
stating "I
wouldn't
say Isee them as being on a
higher plane,
but it can seem
as if they
are because
they've usually got
different
clothes from us" (p. 395).
Another
OT commented on nursing stating "they help the patients far too much". Findings
indicated there
is a
need to deepen the
students'
understanding of differences and
similarities between professions. Overall this study was well done. The purpose
of
this
study was clear
and
it
exhibited
credibility
and auditability by
citing
several
quotes
as
exemplars of the data and describing the categories that were determined.
Hoffman and Harnish
(2007)
described
the effectiveness of DPE for first year
healthcare professional students (chiropractor, nurse, nurse practitioner, occupational
therapist, pharmacist, physician, physiotherapist, and social work).
They described pre-
and post-test Likert
scale
results
for 161
subjects using
a modified Kirkpatrick's model of
educational outcomes
for
IPE. However, the researchers did not identify how
many
were
in each group of healthcare
professional
students.
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A pre-test
survey
was administered
to students
three weeks
prior to
the
educational exercise and then administered again at conclusion
of
the exercise. The
educational exercise included an introduction to the
roles
and responsibilities
of
each
healthcare professional, a stereotyping exercise, and case studies. Study results indicated
that students
responded to
BPE
very positively and reported
"profound
changes
in
attitudes,
interests, and knowledge"
(p.
e235).
Findings indicated significant
improvement in knowledge
of
health profession roles and knowledge about health
professions
(p
<
.001),
significant improvement in knowledge about interprofessionalism
(p <
.001), an interest
in learning more about
the
different health professions
and
pursuing
a career
in various
health
professions (p
= .075),
and significant improvement in
attitudes about IPE and practice
(p
< .001).
The
researchers cited
self
reporting as
a study
limitation. They concluded
that
based on the study's results, IPE is
best
delivered very
early on in
their
healthcare professional
education
since
skills
learned in
IPE,
such as
interpersonal
communication,
negotiation,
conflict
management, and cohesion, among
many
others,
do not need specific
discipline knowledge.
Hoffman and Harnish
concluded that it is reasonable to
integrate IPE at
a very early learner level before
stereotypical viewpoints
prevail in shaping disciplinary attitudes and before professional
prejudice
has a chance to
develop.
Wright
(2008)
conducted
a
qualitative
study,
within
one
university in England,
using
three focus groups to explore the experience of interprofessional learning in
healthcare profession students
(midwifery
n
=
45, podiatry n = 45,
and physiotherapy
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n
=
70) in their
first
three months of school.
The researcher
utilized
a
purposive sample
and described the study as
generic
qualitative. Audio taping and transcription
were
used
to document focus group quotes and views. Quotes from the focus groups for each
of
the
themes that emerged were stated in the article. Themes included student understanding
of
IP learning,
educational
issues, feelings
of
isolation, and future practice influence.
Study conclusions included
IPE
curriculum development for shaping future practitioners
by taking
into
consideration student
comments for effective
IPE which included
interprofessional learning, required interaction and active learning, role modeling,and
a
relevant commonsense approach. Students
did
not feel as though
a
didactic lecture based
approach was helpful (Wright). The
study's
credibility
may be
compromised
due
to the
absence of sufficient methodological information including the
study
time, setting, and
context.
Curran, Sharpe, Forristall, and Flynn (2008) explored attitudes
of
health sciences
students towards IP teamwork
and IPE.
Subjects in
this study
were exclusively from
only one university, the
Memorial
University of Newfoundland
in
Newfoundland,
Canada.
All health
sciences students were invited to participate; therefore, se the sample
was not chosen randomly. Medicine
(n 95),
nursing
(n
=
762),
pharmacy (n =113),
and social work (n
=
109) students participated in the study
(N =
1179). Medicine
(M
=
3.86,
SD =
.46) and
nursing
(M
=
3.93, SD = .44) students reported less positive
attitudes towards IP
teamwork
than
pharmacy (M
=
4.05,
SD = .36)
and social work
(M = 4.06, SD = .44) students.
Nursing
(M = 4.03, SD = .46), pharmacy (M =4.07,
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SD=
.40) and social work
(M =
4.18, S D
=
.42) students had significantly more positive
attitudes towards IPE
than
medical students
(M
=
3.70,
SD =
.59). Females and senior
undergraduates had more positive attitudes towards IP teamwork and IPE. Gender had
a
main effect (p = .001). A significant interaction (more positive attitudes
toward IPE
and
interprofessional teams)
was
found
between
gender
and
students with prior DPE
experience
(p
= .002).
Female
senior
undergraduates
with
prior IPE
experience
exhibited
more positive
attitudes than
all
other
student participants.
Curran
et al.
(2008) used two
Likert
scales, the 14-item Attitudes Toward
Interprofessional Healthcare Teams (Cronbach's alpha of .83), and the 14-item Attitudes
Toward IPE (Cronbach's alpha of .91), to assess student attitudes towards
IP
teamwork
and IPE.
This study
is
generalizable only to
Memorial University
of
Newfoundland,
Canada and only to medicine, nursing,
pharmacy and
social
work health
science students.
This study was methodologically sound,
with
a large sample size, statisticsand findings
were clearly presented, including explicit
validity
and reliability information
for the
instruments
that
were used.
Salamonson, Everett, Koch, Wilson, and Davidson (2009) described first
year
nursing (n = 565) and medical
students'
(n
= 100)
motivation strategies
for
learning using
the self report Motivated Strategies for Learning Questionnaire (MSLQ) in
a
comparative
survey design in a
university
in Australia. The researchers
discussed how
differences
in
motivation
and
learning may affect
IPE
success. Nurses in the study were significantly
older
(M
=
24, SD =
8.1)
than the
medical
students
(M =
19.4, SD =4.1,
p
< .001). Also,
there
were many more
females
in the
nursing
student
group
(82%) compared to the
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medical
student group (56%) in
the
study. In
addition,
65%
of nurses
were employed
during the semester versus
only
44%
of medical
students.
In
the
Salamonson et al. (2009) study,
nurses
scored
higher
in extrinsic goal
orientation (p
<
.001). Extrinsic
goal
orientation
is
the
motivation
for
good
grades and
avoidance of external threats
that affect
completion of a course
regardless
of a student's
interest
in the course topic.
Medical students scored higher
in all
the
other four
learning
strategies including
peer
learning (p
=
.003), help seeking
(p =
.008), critical thinking
(p =
.058), and
study
environment management
(p
<
.001).
Medical students in
the
study
also demonstrated significantly higher (p < .001) grade point averages (GPA) overall. It
is
unclear
how
the researchers concluded that success
of
IPE programs may
be
influenced
by students'
motivational
and
learning strategies. The medical students in this
study
were
taught
using problem
based learning (PBL) which is a
teaching
methodology
driven
by
challenging, studentcentered, collaborative groups where students take responsibility for
their learning and teachers are simply facilitators and observers. PBL
is
known to foster
development
of communication,
problem solving, and
self direction. The nursing
students
in
this study were not
taught
using PBL which could explain the differences in
the
MSLQ
scores.
Also, the researchers did not address how MSLQ scores specifically
affect IPE
and
did not address the
potential
effect of age, gender,
or
employment status
on the study variables. Therefore, this study provided only weak evidence to support the
claim
that nurses
were less
motivated learners, which affects successful
IPE programs.
Overall, this
study
was not methodologically strong.
The
study sample was
not
well balanced in
its
representation
of
the
two
groups and the types
of
education methods
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differed
markedly between the two groups. These two factors could have accounted for
the difference in MSLQ scores. Age, gender, employment status, and the fact that
nursing students did not receive PBL suggest
the
study findings must
be
interpreted
with
caution and
may not
be generalizable.
Interprofessional Healthcare Teams
Morey
et
al. (2002) evaluated the
effectivenessof P
teams
on collaborative
behavior of physicians,
nurses,
technicians, and clerks
in nine
emergency departments
in
the US.
The
study was a multicenter, quasi-experimental,
untreatedcontrol
group
pre
test,
post-test translational research
design using crew
resource management
(CRM)
behavioral principles
from
aviation.
Previous
literature has supported that
CRM
in
aviation and emergency departments share many similar characteristics that exist within
very stressful, complex high stakes environments. The intervention
to
the treatment
group of hospitals (n =
6)
was
a teamwork implementation program where staff coached
and mentored teamwork behaviors
of emergency
department
staff during
normal working
hours. An
aviation
oriented
teamwork
model
was used over
four months and is available
as an
appendix
of
the article
with a complete
description
of the intervention.
There were
three participating
hospitals in
the
control group.
The purpose
of
Morey's et al. (2002) study was to evaluate effectiveness of the
teamwork intervention
by assessing measures of teamwork
behaviors,
attitudes
and
opinions,
and
emergency
department
performance. The
researchers
created
their
own
survey
instrument that incorporated
questions from 14survey
instruments
they
identified
that were used to assess the three measures (teamwork behaviors, attitudes and opinions,
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and emergency
department performance) on 3
separate occasions (5
months apart).
The
article completely describes
how
the survey was constructed
and what was
included for
each item.
The
researchers reported acceptable validity and reliability statistics for the
survey
they
created.
There was a
significant improvement in teamwork
in
the experimental
groups
following the teamwork
program
training (p = .012). Team behavior, in the area of team
dimension,
improved significantly in the experimental group (p
=
.002). Attitudes
and
opinions, in the areas
of
staff attitudes toward teamwork (p = .047) and staff perceptions
of
support (p
=
.40) improved significantly. Also, in the experimental group, the
witnessed clinical error rate decreased from 30.9% to 4.4% (p= .039).
This
error rate
decrease
was
important because
of
its significance
for
patient care and safety. For
example, some
of
the types
of
errors that were recorded
as
part
of
this study included: a
patient with
a blood pressure of
149/106
that was
never reported
by nurse
and/or
technicians to
the
physician and
a
blood pressure was
never
rechecked, a trauma patient
who was receiving oxygen
by mask and
that mask was not connected to
an
oxygen flow
meter, and
a
patient
with
chest pain who had an EKG
and
rhythm
strip
completed
by a
technician who placed both items in the patient chart but then left the
patient
unobserved
for
25 minutes without
notification
given of patient
arrival
to the physician
or
the nurse.
Morey
et
al.
(2002)
demonstrated that
interprofessional teams can
have a
significant impact
on
patient care and outcomes. The
study was supported
by U.S. Army
Research and very well
done.
The methodology, analysis, and
description
of findings
were clearly stated, including the use of many tables
and
appendices. The findings
are
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generalizable
to
both
military and
civilian healthcare
teams
in
teaching
hospitals
or
community hospitals.
Cooper, Spencer-Dawe, and McLean (2005) used
a
triangulation research design
to assess year one
undergraduate
students in medicine
(n = 285), nursing (n = 50),
occupational therapy (n
= 55) and physiotherapy (n =
52).
The
study
was
based
on
Complexity Theory. The Readiness for
P
Learning Questionnaires (RIPLS)
and a
multi-
disciplinary lecture were
administered
to all subjects. Groups were
separated
into either
the intervention group, who received IPE interventions
with the standard
curricula, or the
non-intervention group, who received only the standard curricula.
The
intervention
group specifically received
a
staff training program, e-learning materials,
and
interprofessional
team
workshops.
A RIPLS
was administered again to each
group.
Cooper's et al.
(2005)
quantitative analysis revealed that participants in
the
intervention group
in their
study were significantly more likely
than
participants in the
control group
to:
understand need
for
positive relationships
between healthcare
professionals F=
8.9, p
<.01),
reject
the principle
of
learning
within their
own
disciplinary boundaries
(F = 25.5, p <
.001),
and
ready
to
share their
expertise through
team based
approaches to learning
F =
8.2,
p< .01).
Qualitative analysis
revealed IPE
interventions improved student confidence in
their
professional identity and
improved
their
ability
to
value
differences
between
professions.
Overall, the study (Cooper
et
al., 2005) was well done. The purpose
of
the study
was clear
and
the authors utilized the RIPLS instrument
which
has documented
validity
and
reliability
in
the literature.
This
study also used
a
theoretical framework to evaluate
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the complex interventions carried out between the intervention group and the control
group
which
added credibility
to
the research.
Baxter and Markle-Reid (2009) studied an interprofessional approach to the
management of elderly patients who
were
at risk for falls. The qualitative study
described the experiences of two interprofessional
teams
consisting of community case
managers
(n = 2),
physiotherapists
(n
=
2),occupational therapists
(n = 2),
registered
nurses
(n = 2),
and a dietician
(n =
1)
from four community
agencies
who
were involved
in a nine month collaboration. Data regarding the facilitators and barriers
to
teamwork
were also
collected.
The
researchers conducted
four focus
groups and collected data
at
six
months
and
at
nine months.
Baxter and Markle-Reid (2009) reported their design study as an exploratory
descriptive design. Focus
groups were
taped
and
transcribed
for
accuracy. A computer
software program was used to manage
and
analyze the data. Themes that emerged from
the Baxter and Markle-Reid study were team capacity, practitioner competencies,
perceived outcomes, support, and time. Team capacity or working
toward
optimal
patient
care
as the common
goal
was influenced
by
professional roles, understanding and
appreciating
one
another's
roles,
and the working environment or climate of the team.
Practitioner competencies were influenced by
face to
face communication which
improved camaraderie and collaboration. Perceived outcomes were influenced by
increased trust from the
patient
and the
patient's family
and focusing on
the
team
approach
to
patient
centered care
rather than the
falls. Support
was influenced
by the
organization being supportive
of
the team approach and allowing time through
reduced
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workload
and
added
resources
for
an interprofessional approach.
The
researchers
clearly
documented the methods
they
followed in data collection, management, and
interpretation in this
well
designed and implemented study.
Dobson
et
al.
(2009) evaluated the use
of a
quality improvement teaching
strategy
on interprofessional collaboration among healthcare professional students
at
a college in
Canada.
Using
a pre-test/post-test design, the researchers collected data
from a
total of
223 healthcare professional students. Study subjects included nursing (n = 85), nutrition
(n
=
26), pharmacy (n
= 82),
and
physical
therapy
(n =
30).
Of
the
223
subjects, 134
completed both pre-test and post-test
self
reflection tool that
had
16 items on
a
7-point
Likert scale and 132 complete both pre-test and post-test group process tools that
consisted
of
nine
items
on
a
7-point Likert scale.
The self reflection tool
assessed
knowledge, beliefs, and attitudes towards interprofessional teams.
The quality improvement teaching strategy consisted
of
2 sessions. Session 1
reviewed quality
improvement (QI) concepts, analyzed
health
system data and explored
possibilities for areas of improvement. Session 2
reviewed
change ideas, plans, and
characteristics of effective teams. In
addition
to
the
sessions,
there was
a
group
assignment
that correlated with each session, for a
total
of 2
group
assignments, one for
each
session.
Significant increases p <
05) were
found
between
pre
and post
self reflection
scores
for
12
of
the
16 items on
the
self
reflection tool
completed by 134
subjects.
Statistics were
computed for
the 134 subjects and
not
separated by
discipline or groups.
The
most
significantly different scores fell under the component areas
of professional
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roles,
team conflict, and
decision
making. The researchers
concluded that
using a
quality
improvement process
as
a teaching strategy
is a feasible,
rational, effective
approach
to
enhancing interprofessional experiences for students
(Dobson et
al.,
2009).
However,
all
students did
not receive the
same
intervention and there were
differences
in
the
numbers
of
professional
students from
the various
disciplines that
participated,
which
may
limit
generalizability. Nursing and pharmacy students received two terms of group sessions
and
group assignments. Physical therapy students received only term
one
group
session
and
assignment and nutrition students
received
only term two session and assignment.
For those
reasons, the study
results must be
interpreted with caution.
Hall
et al.
(2009) studied
a
health
professional team
approach to quality
improvement over two years. They
conducted
four half day quality improvement (QI)
sessions
once a month for
five months
with participants who
were integrated into QI
teams at
an
academic health center. The QI
teams received
QI training and expert QI
mentoring.
Experimental group
study subjects,
who participated in the QI sessions,
consisted
of
fourth year medical students
(n =
30) and other health professionals (n
= 56) from
disciplines including nursing,
pharmacy,
laboratory
technicians,
health
administration,
information technology,
and
medical education.
Subjects
attributed their
successful
completion of the quality improvement
projects
to the interprofessional design
of
the
teams.
Hall et al. (2009)
evaluated written
feedback
regarding quality improvement
from
study subjects and collected data on a quality improvement knowledge application tool.
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A
control
group consisted of
28
medical students who
did
not participate in
the QI
sessions.
In
the Hall's et al. (2009) study,48 of
the
86experimental group study subjects
completed the validated 5-item, Likert scale QI Knowledge Application tool that assessed
QI
aim,
intervention
and
measurement with values ranging
from
1 (lowest
score
possible)
to 5 (highest score
possible) that
assessed
action
based
improvement
interprofessional
teams.
Action
based
improvement teams
are quality improvement
teams
that
focus
specifically
on identified clinical problems
within the
teams.
There
was
a
significant
difference (p < .0001)
between participating students (M
=
10.86) and
control
group
(M = 5.73) students for
the year 2006-2007 and for
the
year 2007-2008
for
participating
students (M
=
8.7) and control group (M = 5.08,
p <
.0005). There
was
also a significant
difference between pre-course
(M
=
4.88)
and
post-course (M = 8.7) participating
students
(p
< .001).
In Hall's et al. (2009) study, medical students comprised one-third
of
the
experimental
group while
all
participants in
the
control
group
were medical
students.
The study
may
be
improved
by the
addition
of
other
types of
health
discipline students.
This
was
a
limitation identified by the authors.
Summary of
Interprofessional
Education
and
Interprofessional
Healthcare Teams Literature
The literature
review
of IPE
revealed
that
there
are several
different
interpretations, overlapping terminologies, interchangeable terms,
and
a general
lack
of
uniformity of a definition and conceptual clarity for IPE. Many researchers do not define
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IPE in
their studies, which contributes
to a
lack
of
clarity
and creates barriers to optimal
IPE research and implementation.
Based
on
the current literature and
a
concept analysis on DPE, IPE
is an
andragogical interactive experiential
learning
and socialization process.
IPE occurs when
two
or
more members
of a
healthcare team (who participate in either patient assessment
and/or management) learn with, from
and
about each other as they collaboratively focus
on
patient centered
care and
achieving
optimal
health
outcomes.
In IPE, knowledge and
value sharing occurs within and across
disciplines
(Olenick
et
al., 2010a).
This
clearly
stated definition, used in this research study,
was
synthesized
based
on the common
elements
of
all the
available
definitions in the literature.
IPE research describes healthcare profession
students'
perceptions and
perspectives about
IPE,
relationships
among
and between
different types of healthcare
profession students, readiness for interprofessional learning, the effectiveness
of
IPE, IPE
experiences and attitudes toward IPE. IPHCT research describes collaborative behavior,
effectiveness
of
teamwork interventions, relationships between healthcare professions,
interprofessional approaches
to
patients and
team
approaches
to
quality improvement.
IPE and IPHCT literature continues to expand due to
new
interest in this topic and
how it
concerns
education of
healthcare professionals, quality
of care,
and patient safety.
The
IPE and IPHCT literature support the benefitsof IPE including relinquishment of
stereotypes,
highly
integrated teams, collaborative
practice, patient
centered care,
and
improved understanding
of
healthcare professional roles
among
other benefits. EPE
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research on
students and IPHCT
research on healthcare
professionals continues to grow
and develop.
Theoretical Literature
Fishbein and Ajzen s
Theory
of Reasoned Action
The
Theory
of
Reasoned Action (TRA) by Fishbein and
Ajzen
(1975) served as
the
theoretical basis for
this study.
While most of the published
literature
on 1PE is
atheoretical, other social psychology theories have been used in previous DPE research.
However, the
other theories were
generally applied to
IPE
research on students, not
faculty, and
primarily
concerned
group
behaviors within IPE, not
attitudes
toward IPE.
TRA
proposes
that
the
combination of attitudes and subjective
norms predicts
behavioral
intentions.
Therefore, TRA was
deemed
to
be
most
appropriate for
the purpose
of
this
study.
The Theory
of Reasoned
Action (TRA) provides a framework for understanding
and predicting behaviors (Fishbein & Ajzen, 1975). In TRA,
people's
attitudes are
determined by their beliefs. Life experiences help to form beliefs about other
people,
events, circumstances, objects, and
actions.
A
person's
beliefs
and
therefore, their
attitudes also,
are
subject
to
change
and
are
dynamic
in
nature
depending on influences,
experiences, and the strength of the beliefs. Attitude is
formed
by a person's beliefs
toward
an object, action or event and that object, action, or event's consequences. The
number of beliefs a person has regarding an object, action or event may also
influence
their attitude
(Fishbein
&
Ajzen).
Attitudes are conscious choices made by
an
individual
toward
something
based
on personal evaluation
of
the
outcome.
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Beliefs are influenced by a
person's
observations and other
information
a
person
processes (Fishbein & Ajzen, 1975).
In
TRA,
when
people have
positive
beliefs and
positive
attitudes toward a
behavior, they
are
more likely to
have
strong intentions to
perform
that behavior.
Reinforcement
of
beliefs, positive
or
negative, strengthens
attitudes.
Subjective
norms, or perceived expectations to perform
a
behavior (Fishbein &
Ajzen,
1975), also
influence
a
person's
behavioral
intentions. Subjective
norms
are
influenced by a
person's
motivation to comply with perceived expectations. Ultimately,
intentions
are
determined by the combination
of
attitudes
and
subjective norms.
Subjective norms provide
social motivation
to
comply
with
intentions and carry through
on behavior performance.
Both
attitudes and subjective norms should be considered
when predicting
intentions and behaviors.
This
research
study
explored attitudes,
subjective norms, and intent
to
engage in IPE.
According to TRA, intentions predict behavior. Behaviors are elicited based on
the strength of the intentions that precede them. Intentions
are
strongor weak depending
on the
attitudes
and subjective norms that precede them. Favorable attitudes correlate
positively with intentions that become behaviors (Fishbein
&
Ajzen, 1975).
Theory of
Reasoned
Action Research
The
Theory of
Reasoned
Action (Fishbein
&
Ajzen, 1975) was developed within
the
field
of social
psychology and
has
been used
primarily
for
research
regarding
consumer behaviors. However,
it
has been found useful to explain attitudes and
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behavioral intentions in healthcare research as well. Research literature
based
on TRA
was searched and reviewed.
Levin
(1999) studied predictors
of
healthcare
workers'
glove
use when
a potential
for exposure to
blood
existed. She examined three theoretical
models in an
effort to
compare which of the three best predicted glove use behavior. In
a
random sample
of
nurses (n
=
247) and laboratory workers (n
=
280), subjects were selected using telephone
area codes
for
Chicago and
its
surrounding area and included those nurses
(N=
104,499)
with an active nursing
license
in
Illinois and
those laboratory
workers
(N = 8,499)
who
were certified through the American Society
of
Clinical Pathologists' Board of Registry.
The
minimum required sample size for this study was 450.
The
final sample included
527 nurses and laboratory workers.
Levin (1999) hypothesized that the Theory
of
Planned Behavior (TPB) would
explain glove use
by
nurses and laboratory workers more effectively
than
the Theory
of
Reasoned Action (TRA). Levin administered
a
26-item questionnaire to subjects and
concluded that TRA
explained 70%
of
glove
use
behavior
in the
study. TRA was found
to better
fit
and
explain
prediction
of
behavior
than TPB. The study
did
not
support
use
of TPB, which
is
an extension of the TRA
model.
Predictive capability of attitudes
affecting behavior was significant in this study (p = .03).
Russell et al. (2003) described
medication
taking beliefs
of
renal transplant
patients, using
the
TRA framework. The qualitative descriptive study compared a
purposive sample (N = 16) of older patients,
more than
50
years
old, (n =
8)
to
younger
patients, aged 18 to
49
years old, (n = 8) in a renal
transplant
program in
Missouri.
An
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interview guide was utilized to collect demographic information and answers to specific
questions. Interviews were audio
taped
and transcribed, contributing tocredibility and
auditability in this
well
done study. Data were coded for themes and group comparisons.
Russell
et al.
found
that both the younger
and the older patients
held similar
beliefs that
led to
their medication compliance.
Beliefs that
led to
improved
compliance for
medication
taking behaviors
included planning
ahead, organization, cues to help them
remember, remembering the
donor who
provided their kidney transplant and
not
wanting
a
life
of
dialysis. Both groups
indicated
improved compliance
when
a
subjective norm
such
as
support from family was
present.
Young,
Horton, and Davidhizar (2005) applied TRA toa study of
nurses'
(N =
52)
attitudes and beliefs about pain assessment
and management.
The
researchers
explored attitudes
in relation
to
nursing
education
and
experience. Participants
completed an open ended attitudes and beliefs questionnaire. The overall attitude scores
ranged from negative 6
to positive
28
with
a
mean
of 8.3 for
use
of pain
assessment
tools.
No additional
statistics
were presented.
The
researchers
concluded that education had a
positive
impact
on pain assessment tool usage and outcomes and
that positive
attitudes
toward
pain
assessment were related
to
increased
education. Young
et al.
did
not
disclose
the study design type
or
specific methodology
or
statistical analyses
used, and
there was
no
discussion
of the
validity
and
reliability
of the
instrument used to
collect the
data.
Also,
a
convenience sample
of
nurses from one Midwest community hospital
unit
limits
the usability and generalizability
of
the
study's
findings.
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Based on the TRA framework, Marco et al. (2006) examined intensive care
nurses' beliefs and attitudes towards the effect
of open
visiting on patients, family, and
nurses.
The sample consisted of
females nurses only
(N = 46) from a 16
bed medical-
surgical intensive care
unit (ICU) in Navarra,
Spain.
A descriptive
correlational
design
was
used. The researchers presented a
diagram and description of
how TRA
applied to
their study and how they intended
to
describe
nurses'
beliefs and attitudes
toward
open
visiting
policies in the ICU.
Marco et al. (2006) concluded that beliefs about visiting were positive and found
a significant, positive correlation
between beliefs
and attitudes about the
open visiting
policy
(
r =
.52,
p <
.0001). Every nurse surveyed indicated
that
an open visiting policy
increased family
satisfaction
with
the ICU
patient
stay.
The
results section
of
this article
had several
quotes from the
nurse participants that provided
examples and
insight into
their
thoughts regarding open visiting policies in
ICU
settings which contribute to the
study's
auditability. All
nurses'
quotes presented in the article were positive comments
regarding open
visiting policy. Marco et
al.
did
not
discuss the research findings in
relation
to the TRA
framework
or describe how
beliefs and attitudes may potentially
affect open visiting policy. Failure to relate the findings to the theory
is a
weakness and
limitation
of
the study.
The
extent to which Spanish culture influenced the
nurses'
attitudes and limits
the
study's generalizability to other cultures
is
a concern.
A meta-analysis by Wallace, Paulson, Lord, and Bond (2005) strongly supported
Fishbein
and Ajzen's
(1975) theory
that
attitudes predict behavioral intentions and
behaviors.
This
meta-analysis included
797
studies completed between 1937 and 2003.
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The
purpose of the meta-analysis was to quantify the overall magnitude
of
the
relationship
between
attitudes and behavior,
based on
statistically combining the sample
sizes, significance
levels, and
effect
sizes of the
various
studies. The sample of 797
studies included those specifically based on the TRA model and studies not based on
TRA.
Findings indicated that situational constraints, such
as
perceived social pressure,
moderated the relationship between attitudes and behavior. Within
TRA,
social pressure
is referred
to
as
subjective
norms. When behaviors were thought to
be desirable,
normatively appropriate,
or
politically correct, people tended to perform the behavior
whether or not they had a positive personal attitude
toward it.
Attitudes predicted
behavior better when there were weak social pressures surrounding
a
situation and few
obstacles or
constraints a
person
had
to
overcome. Attitudes also
predicted
behavior
better
when
people felt they were
in
control and free
to
make their own decision.
Social
pressures
and level of difficulty
significantly
predicted
an
attitude-behavior
relationship correlation
of .41
(p
< .01)
when social pressures and level
of
difficulty
were
at
mean level. Social
pressures
and level of
difficulty were
rated
on
9-point scales
ranging from no social pressure to very socially pressured and not at all difficult to very
difficult. When social pressures and level
of
difficulty rose to
one
standard deviation
above
the
mean,
the attitude-behavior
correlation dropped
to .30(p
<
.01).
Wallace's et al. (2005) meta-analysis
was methodologically
sound.
A
total
of 797
studies were
included
in the sample. Although this meta-analysis speaks primarily
to
the
relationship between attitudes and behavior, within TRA the combination
of
attitudes
and
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subjective
norms
lead
to intention
which then
leads to
behavior.
Therefore, although
all
studies
used
in
this
analysis
were not
TRA
model based, they did support
the TRA
framework
indicating that
attitudes and subjective norms predict behavioral intentions
and behaviors.
Within TRA,
intentions
are proposed to be the strongest
predictors
of behavior.
Webb and Sheeran
(2006) quantified
the
degree
to which
changes in intention
led
to
changes in
behavior.
Their meta-analysis of 47
studies,
conducted between 1981 and
2003, of intention and
behavior
changes
revealed
that a medium to large change in
intention (d = .66) led to
a
small to medium changes
in
behavior (d =
.36).
Webb and Sheeran (2006) described the
methodology,
statistical analysis, and
findings
in
this meta-analysis. Although the 47 studies in this
meta-analysis
included
studies
based
on
TRA,
the
meta-analysis
also
included studies
based on several other
models
of
attitude-behavior relations. Overall, this meta-analysis
was well
done
and
supported
the
TRA
theoretical
proposition that intentions are
the strongest
predictive
indicators
of
behavior.
Sheppard, Hartwick,
and
Warshaw (1988) conducted
two separate
meta-analyses
based on 87 articles that used attitudes and subjective norms to predict intentions and 87
articles that used intentions to predict behavior.
All
articles
used in
these
meta-analyses
were based on research conducted between 1960
and
1985. The mean correlation
for
studies
that
explored
attitudes and
subjective norms to predict
intentions
was .66
and
statistically significant (p = .001), and the mean correlation for studies that explored
intentions
to predict behaviors was
.53
and statistically significant
(p = .01).
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In addition
to
these findings, Sheppard
et
al. (1988)
determined
that TRA, even
when
used beyond
its
intended
conditions, managed
to maintain
its strong predictive
utility.
TRA's
intended conditions
do
not include choices and was originally designed
to
determine single
behaviors only. Sheppard
et al. referred to
TRA
as a compelling and
coherent
model.
These two
meta-analyses were
clearly
presented.
All studies included
were
listed
in
table form, the methodology was explicit,
and
findings
were
very
thoroughly described.
Theory of Reasoned Action, Interprofessional Education
and Interprofessional
Healthcare
Teams
There was no literature found where TRA was used in conjunction
with
IPE
or
IPHCT.
In
fact,
most of the IPE and
other interprofessional studies
did
not
utilize
a
theoretical framework.
This review
indicates there
is a
significant
gap in the
IPE and
interprofessional literature
using
theoretical frameworks. There is significant opportunity
and need
to
study
IPE and
IPHCT
with a theoretical
framework.
Summary of Theoretical Literature
The
TRA conceptual
framework (Fishbein
&
Ajzen, 1975) was
discussed
in this
chapter. Relationships
between TRA
concepts of attitudes,
subjective
norms,
intentions,
and behaviors were presented. TRA literature proposes that the Theory
of
Reasoned
Action explains
intentions and behaviors. There is an enormous gap in EPE literature
overall
with
regard to utilizing conceptual frameworks to guide IPE research. There
were
no published studies found
where
IPE research utilized TRA
as a
framework.
In fact,
most
of the IPE
research
did not use a
theoretical
framework.
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There
were four meta-analyses included in this literature review that support
TRA. Wallace et al. (2005) found significant attitude-behavior correlations. Webb
and
Sheeran (2006)
determined
intentions are the
strongest predictors
of behavior.
Lastly,
Sheppard et al.
(1988)
performed
two meta-analyses that determined TRA
is a
strong
predictive
model
even when used
beyond its intended conditions.
The TRA
literature presented in this review was
used as a
guide
for
this research
and
to assess the
utility
of
TRA for use in
this
study. TRA
explains
how attitudes
and
subjective norms predict intentions and behaviors.
The
model specifies
a
methodical
approach
to
prediction
of
intentions and behavior which strengthens the model's
applicability for use as the theoretical underpinnings of this research.
Faculty and Interprofessional Education
and
Interprofessional
Healthcare Teams
A
literature
search
for articles
on
faculty attitudes
toward
IPE
and
IP teams
yielded
only
one study by Curran, Sharpe, and Forristall (2007b). The purpose of
this
study
was
to examine
faculty
attitudes
towards
IPE and IP
teamwork. Healthcare faculty
in medicine, nursing, pharmacy, and social
work
at Memorial University of
Newfoundland, St. John's,
Newfoundland,
Canada(N =194;
medicine
n =
106, nursing
n
=
64, pharmacy
n
=
10, and
social work n
0)
responded to three Likert scale surveys.
The
three
surveys
that were used included
the
14-item Attitudes Toward Interprofessional
Healthcare Teams scale (Cronbach's alpha of .88), the 15-item Attitudes Toward
Interprofessional Education scale
(Cronbach's alpha of
.92), and
the
13-item Attitudes
Toward Interprofessional Learning scale (Cronbach's alpha of .81).
Response rate was
63%.
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Research instruments, procedures, sample, and analysis were clearly described.
The researchers computed
a
one-way
ANOVA
and post hoc comparisons
using
the
Scheffe test. Curran et
al.
(2007b)
reported
the mean attitude scores for
physician
faculty
were significantly lower (p <
.05)
than nursing faculty on all three scales.
Faculty
who
had
prior
experience with
EPE reported significantly higher mean scores than those
with
no experience (p = .01)
and
females reported
significantly
higher mean scores (p
<
.01).
Therefore, healthcare
discipline,
experiencewith IPE, and gender
significantly
influenced
attitudes toward IPE,
IP
teams, and IP learning.
The
Curran et al. (2007b)
study is generalizable
only to Memorial University of
Newfoundland and the selected disciplines including medicine, nursing, pharmacy, and
social work.
In
addition, the
samples
of pharmacy
and social work faculty
were
too
small
to
be statistically
meaningful.
The research
instruments demonstrated
high
internal
consistency reliability and the authors
presented
the study and its findings clearly.
An
earlier
quantitative study
by
Curran et
al. (2005b)
examined attitudes
of
academic administrators towards
DPE
and
IP
teamwork in Canadian post-secondary
schools of
health
professional education.
Eighty-two senior
administrators responded
including
deans
and
directors of
various health
education programs
(medicine
n = 8,
nursing n
= 30,
pharmacy n
= 6, social work n = 17, physical
therapy
n= 9, occupational
therapy
n =12). The response rate for this study
was
46.9%.
The
researchers
did not
describe where their sample
was
from
or how
it
was
chosen. They only
stated that
the
administrators selected were from the varying programs across Canada.
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Subjects
in
the Curran
et
al.
(2005b) study completed
a
web-based survey and
answered questions about their healthcare education
program
characteristics (student and
program types), attitudes toward interprofessional teams and
toward interprofessional
education,
and were
asked to identify
barriers
to IPE
in academic
settings.
Overall,
attitudes toward IPE and IP teamwork were positive. There were no significant
differences
among
the different types of
professionals who
participated
regarding
attitudes. The barriers to IPE and IP teamwork that were
identified most frequently
in
this
study
were schedule/calendar, rigid curriculum, turf battles, and lack of
perceived
value
of
IPE.
Other barriers mentioned included lack
of
financial resources,
lack of
administrative support, classroom
size,
faculty attitudes, student acceptance, and lack of
reward for faculty. These barriers are concerning because they may impact the successful
implementation
of
IPE and account
to
some degree for the reason healthcare discipline
students are not receiving IPE.
Barker, Bosco, and Oandasan (2005) explored factors
that
affect the
implementation
of
IPE.
This
study was done in Canada and utilized grounded theory
methodology. A sample of participants who were considered champions in
the
field of
IPE were identified and 12 interviews were completed. Discipline backgrounds
of
the
interviewees were not revealed.
The
interviews
started out
broadly but then narrowed
to
progressively
focus on concepts and
relationships
elicited. Interviews occurred one time
only.
The
researchers
audio
taped and transcribed the interviews.
Data
analysis
included
manual content analysis and the use of
computer software.
Five main
themes emerged
including
lack of consensus of
terminology regarding
IPE;
the need
for champions to
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move
the EPE
initiative forward; the need
for
external support in the
form
of funding,
academic institutions, government,
and
accreditation bodies; sensitization
of
the effects
of
professional
culture
which
essentially
were the ontologic
elements that
were
entrenched
in
participants and found
to
be
very
difficult
to
change; and
logistics of
implementation which included
timetabling, geography, and
physical
space. The study
was
a well done,
qualitative investigation.
Summary of Faculty
and
Interprofessional
Education
and
Interprofessional
Healthcare Teams
A total
of
three relevant studies were found. All three studies were conducted and
published in Canada.
Only
one study was found concerning faculty attitudes and
interprofessional
education or
interprofessional teams. There
were no other
studies
identified
that met these specific criteria. The
literature in
the area of faculty attitudes,
IPE and IPHCT is extremely limited. The other two studies found included
a
study of
administrators
of
professional
schools,
not faculty, in relation to interprofessional
education and a study
on factors that affect the implementation
of D P E . These
few studies
indicated that there
is a
significant gap in the literature and
a
significant need and
opportunity for the study
of
faculty in relation to IPE and IPHCT.
Chapter Summary
IPE definitions, IPE research, IPHCT, TRA
and TRA research
were
presented in
this literature review. IPE
is a complex
concept
that
has different
interpretations,
overlapping terminologies, interchangeable terms, and a
general
lack of uniformity in the
literature.
This has
led
to
misunderstandings and barriers
to optimal IPE
research
and
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implementation. The concept analysis derived definition
of
IPE (Olenick et al., 2010a)
will
provide guidance for this study.
The
IPE empirical
literature
reviewed pertained to attitudes, perceptions,
perspectives,
and
motivation
of healthcare students. The IPHCT literature focused
primarily on collaboration, collaborative behavior, readiness
for
interprofessional
learning, and interprofessional and team management
of
patients.
TRA literature reviewed
how
attitudes
and
beliefs predict behavior in clinical
situations.
Four meta-analyses were included in this
literature
review
and support the
strong predictive
nature
of TRA, the components of the model,
and
the relationships
between the components in the model. There was no literature found where TRA was
used in conjunction with IPE or IPHCT. Most
of
the IPE and IPHCT literature did not
utilize theoretical
frameworks.
Therefore, there
is
significant opportunity and
need to
study IPE and IPHCT within the context of
a
theoretical framework.
A literature search on faculty
and
IPE
and
IPHCT
revealed
only two published
studies. A significant
gap
in
the
literature regarding faculty in relation to
IPE
and IPHCT
exists. A great opportunity
exists
for future
research
in this topic area as well.
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Chapter III
Methodology
The aims of
this study
were
to
explore
healthcare
faculty
(HCF) attitudes toward
interprofessional education (IPE) and interprofessional healthcare teams (IPHCT), to
explore
HCF
perceptions of subjective norms'
influence
on HCF intent toengage in IPE,
to
explore HCF intent
to engage in
IPE,
and to explore differences among types
of HCF
in attitudes toward IPE and IPHCT and intent to engage in EPE.
This
chapter includes a
description of the
research
design, sample,
instruments,
data
collection procedures,
and
data
analysis.
Research Design
A study design
is a
blueprint that maximizes control
over
factors that
contribute
to
the validity of a
study (Burns
& Grove, 2009). The research questions guiding this study
were:
1) What are
healthcare
faculty attitudes
toward
interprofessional education and
interprofessional healthcare
teams?
2) What are the subjective norms that influence healthcare faculty intent to engage in
interprofessional education?
3) What are
healthcare faculty
intentions
regarding
engaging
in interprofessional
education?
4)
What are the relationships among healthcare faculty attitudes toward
interprofessional
education,
interprofessional
healthcare teams,
and
intent to
engage in
interprofessional
education?
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5) What are the differences in attitudes toward interprofessional education and
interprofessional healthcare teams, and intent to engage
in
interprofessional
education
among healthcare
faculty from
various professional healthcare
programs?
Descriptive correlational and comparative research designs were used
in
this
study.
Descriptive designs
"identify a
phenomena
of
interest, identify variables within
the
phenomena, develop conceptual and operational definitions
of
variables and
describe
variables in
a
study
situation"
(Burns &
Grove,
2009, p. 696).
Correlational research is
a
"systematic
investigation of relationships between two or more
variables
to explain the
nature of relationships in the world and not
to examine
cause and effect" (Burns
&
Grove, p. 694). Comparative descriptive designs
"describe
differences in variables in
two
or more groups" (Burns & Grove,
p.
692).
Sample Selection and
Size
Selection
of
Healthcare Faculty
Healthcare faculty were selected via internet searches
of the
healthcare programs
of colleges and
universities
throughout the U.S. Nursing (NU), medicine (MD),
pharmacy (PH),
physical therapy
(PT), occupational therapy (OT),
physician
assistant
(PA), and social work (SW) programs were included
in the national selection of subjects.
These
particular professions were chosen because they represent nursing, medical, social,
and therapy aspects of healthcare
through
direct patient care
and management.
A
stratified, random, proportionate sampleof
10%
of programs
was
compiled and separated
according to the four U.S. census
bureau
regions (Northeast, Midwest, South,
and
West)
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and based on availability
of
publically
available faculty email
addresses
on the
internet
on the school or healthcare education program (e.g., nursing program) website. The total
number
of
programs for each healthcare
discipline
in each region is
presented
in Table 1.
The four
U.S.
census bureau
regions (U.S.
Census Bureau,
2011) (excluding Puerto Rico)
are:
1. Northeast aine, New
Hampshire,
Vermont, Massachusetts, Rhode Island,
Connecticut, New
York, Pennsylvania,
New Jersey
2. Midwest Wisconsin, Michigan, Illinois, Indiana, Ohio, Missouri, North Dakota,
South Dakota,
Nebraska,
Kansas, Minnesota, Iowa
3. South
elaware, Maryland, District
of Columbia,
Virginia,
West
Virginia,
North Carolina, South Carolina, Georgia, Florida, Kentucky, Tennessee,
Mississippi, Alabama, Oklahoma,
Texas,
Arkansas, Louisiana
4. West daho, Montana, Wyoming, Nevada, Utah, Colorado, Arizona,
New
Mexico, Alaska, Washington, Oregon, California, Hawaii
This researcher identified nursing schools that offered baccalaureate and higher
degree programs in nursing and were accredited by
the
Commission on Collegiate
Nursing Education (CCNE)
or
the National League of Nursing Accrediting Commission
(NLNAC).
Allopathic medical schools
that
were accredited by
the Liaison
Committee on
Medical
Education (LCME),
pharmacy
schools
that were accredited
by the
Accreditation
Council
for Pharmacy Education (ACPE),
PT
schools that were
accredited
by the
Commission on Accreditation in
PT
Education
(CAPTE), OT
schools that
were
accredited by the Accrediting Council
for
OT Education (ACOTE), physician assistant
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programs that
were accredited by the Accreditation
Review
Commission for the
Physician Assistant (ARC-PA),
and
social
work
programs that were accredited by
the
Council on Social Work
Education
(CSWE) were also identified by this researcher. Only
programs
that
offered
a
minimum of
a bachelor's
degree
or
higher in these disciplines
were included in this study.
Stratified random sampling was used to ensure that the population surveyed was
representative of the target population.
"In
stratification,
each stratus should have
numbers of subjects selected in proportion to their occurrence in the population" (Burns
& Grove, 2009,
p.
747). To achieve stratified random sampling, this researcher entered
the names of
all
the schools that are counted in
Table
1
into
an Excel spreadsheet. Once
the
spreadsheet
was created,
a
random number generator
software
program was used
to
Table 1
Number
of
Health
Discipline Programs per
Census
Bureau
Regions
and
Type
of
Program
and Number
Randomly
Selected for
Study
Type
of
Program Northeast
Midwest
South
West
Total
n
(10%) n (10%)
n
(10%) n (10%)
NU 165(17) 226(23) 264
(26)
98
(10)
753(76)
MD
31(3)
32
(3)
50
(5) 16 (2)
129(13)
PH
22
(2)
26 (3)
46(5) 23 (2)
117(12)
PT
56 (6)
58
(6) 62 (6)
28
(3)
204(21)
OT 46 (5)
40(4) 47(5) 19(2)
152(16)
PA
47(5)
34 (3)
51(5) 22
(2)
154(15)
SW
47
(5)
53 (5)
76(8)
42(4)
218(22)
Total
programs in
414
(43)
469
(47) 596 (60) 248 (25)
1727
(175)
each region
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select 10%
of each
of the seven types
of
programs from
each of the four census
bureau
regions. Initially, a total
of
175 healthcare discipline programs were randomly selected.
From
the
175 randomly selected programs, this researcher
accessed
each
program's
website and searched
for
publically available
addresses
of
faculty. An
online survey using Survey
Monkey™ was
sent to
those
available
faculty
addresses. The email
invitation
to
participate included
a letter of explanation (Appendix
A) which explained in detail the study title,
purpose,
description, risks, benefits,
alternatives, confidentiality, termination of participation, compensation, and
researcher's
name and
contact
information with
a
link to
the
actual survey.
Study inclusion criteria were
included
in the demographic data collection portion
of the
online
survey. Only healthcare faculty who were employed in one
of
the seven
healthcare
disciplines were
included in
this
study.
Those
who
held a master's degree or
above,
who were full time, and who
had professorial rank
(full
professor,
associate
professor
or assistant
professor)
were
invited
to complete
the survey. These inclusion
criteria
were selected since it
is more probable
that
only
full time
professors with
an
advanced
degree
would have
a
voice in determiningcurriculum and opportunity related
to engaging in IPE.
It was
expected
that
the
original random selection
of
10%
of
programs
in
each
census bureau region would be sufficient to acquire the 231 subjects required for this
study.
Nursing
met
its required 33 subjects
very
early on in the datacollection but the six
other
healthcare disciplines
lagged
behind
despite this researcher following Dillman's
Tailored Method Design (TDM) (Dillman, Smyth, & Christian,
2009),
as
described
in
the
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data collection procedure section of this chapter. Therefore, another 10%
of
all
healthcare programs, exceptnursing, were
randomly
selected and sent out for a total
of
20% of
all programs
nationwide excluding nursing which remained at
the 10% rate.
Subjects
were
not asked
on
the
demographic
data
form
which
school they were
associated with,
as a measure to maintain
confidentiality,
so there is no way to
discern
which
schools from
the
random
stratified sample
participated
and which did not.
A
total
of 5224 emails were sent out
and
a total of
451 replies
were
received
which yielded
an
8.6% response rate.
Size
and description
of the
healthcare faculty sample.
An
a
priori power
analysis determined the minimum
total sample
size of 231
was
required
for
this study.
Sample size
was
calculated using Sample
Power
version 2
(SPSS,
2004). Effect size,
significance
level,
and power
were
all considered. A medium effect
size, a
significance
level
of
.05 and
a
power
of
.80
were
used
to compute the power analysis. Effect size
takes into consideration
the
degree to which the independent variable will affect the
dependent variables.
A medium effect size was appropriate
for
this study because the
research instruments have shown both
reliability
and validity in previous studies. Also,
maturity of TRA, the theoretical basis of this
study,
contributes to the rationale for use of
a medium effect size.
A
power
of .80 is
standard and
desirable
(Burns
& Grove,
2009)
and minimizes the
chance of a Type II error
or
the
likelihood
of
accepting
a false null
hypothesis. The
number
of
variables
for each
question
was also considered.
Power
analyses were computed separately
for
each hypothesis to determine the minimum
number
of subjects required for the study.
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When multiple regression statistical analysis
was
considered,
a
medium
effect
size
of
.13
was used in
the
power
analysis computation.
According
to Cohen (1988), a
medium effect
sizeof .13 is
appropriate for multiple regression analysis. In this multiple
regression analysis there were two predictor variables, an alpha
of
.05 and
a
power of .80.
Sample
Power
(SPSS,
2004) calculated that
a
minimum sample
of 68 subjects
would be
acceptable for this analysis.
When multivariate analysis
of
variance (MANOVA) was considered,
a
medium
effect size of .25,
an alpha
of .05
and power
of .80
for
seven
groups
were
used in the
power analysis
computation. Sample Power calculated that
a
minimum
sample of 33
subjects
per
group
was
required. Since there were
seven groups in
this analysis, a total of
231 subjects
was
the
required
minimum sample size for the
MANOVA
analysis. Given
that
the
MANOVA required more
subjects
than
the
multiple regression
analysis,
the
minimum total sample size that was sought for this study
was
231 subjects.
Description of
actual sample.
The actual sample
for this study
included 439
healthcare faculty from the seven healthcare professions nationwide. A total of 5,224
emails
were
sent out to
faculty
in
274 schools
from
the stratified random
sample of
nursing
(NU), medicine
(MD), pharmacy (PH), physical therapy (PT), occupational
therapy
(OT),
physician assistant
(PA), and social work
(SW) programs
across
the
U.S.
Details
of
the
descriptive statistics of demographic
variables
are
presented
in Tables 2
and
3.
In
Table 2, the number of responses for each
faculty group
does not always equal
the
total
number of
subjects
in the groups due to missing data.
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Table 1
Frequencies
and
Percentages ofSample Characteristics
NU MD PH
PT OT PA SW
Variable
n
n n
n
n n
n
And Categories
Gender
Female
182
95.8
16 43.2 28 60.9 33 66.0
31 77.5
22
57.9
27
75.0
Male
8 4.2 21 56.8
18
39.1 17
34.0 9
22.5
16
42.1
9 25.0
Highest
degree
Bachelor's 1 2.6
Master's 57 30.2 1 2.6
1
2.2
7 14.0
11
27.5 22
59.5
3
8.3
Doctorate 132 69.8
36
94.7
45
97.8 43 86.0 29 72.5 15
40.5
33
91.7
Teach at level
Bachelor's 135 70.7 4
10.5
1
2.2
6
15.0
2
5.3
Master's 93
48.7
6 15.8
2
4.3 1
2.0 39
97.5
38
100
33
91.7
Doctorate 41
21.5 38 100 46
100
50
100
5
12.5 8
22.2
Employment status
Part-time 8 4.3 4 11.4 2
4.1 3
7.5
3 8.1 2
5.6
Full-time 178 95.7 31
88.6
46 100
47
95.9 37
92.5 34
91.9 34
94.4
Appointment status
Permanent 173
91.1
35
92.1
44
95.7
48
96.0
36
90.0
34
89.5 31
86.1
Temporary
17
8.9
3
7.9
2
4.3
2
4.0
4
10.0
4
10.5
5
13.9
(continued)
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NU MD PH PT OT PA SW
(n=
191) (n
=
38) (n
=
46) (»
= 50)
(n = 40) (w =
38)
(n
=
36)
Variable
n n n n n n n
And
Categories
Faculty position
Teaching faculty 161
85.2
Administrative
faculty
28 14.8
32
4
88.9
1 1 1
38
7
84.4
15.6
42
7
85.7
14.3
30
8
78.9
21.1
24
13
64.9
35.1
30
5
85.7
14.3
Tenure appointment
Tenured 53
27.9
3 8.1 18 39.1 17
35.4
12 30.0
6 16.2 18
50.0
Tenure
track
52 27.4
3
8.1 7 15.2 9
18.8 9
22.5 4
10.8
8
22.2
Non-tenure track
85 44.7 31
83.8
21
45.7
22
45.8 19
47.5 27
73
10
27.8
Currently implementing IPE
Yes 86
45.0
27 71.1 27 58.7 37
74.0 23 57.5
29
76.3 19 52.8
No 105
55.0
11
28.9
19
41.3 13
26.0
17 42.5
9
23.7 17 47.2
Previously implemented IPE
Yes
90
47.6
24
63.2 29
63.0
31
64.6
26
65.0
28 73.7 21
58.3
No
99 52.4
14
36.8
17
37.0 17
35.4
14 35.0
10
26.3 15
41.7
Academic appointment
Full Professor
35
18.3 8 21.1 18
39.1
6
12.0
2
5.0
3
7.9
9
25.0
Associate Professor 45 23.6
9 23.7
11
23.9 19
38.0 17 42.5
10
26.3
12 33.3
Assistant Professor 95 49.7
19 50.0
14
30.4
20
40.0 10
25.0
19
50.0 9 25.0
Clinical/Instructor/
13 6.8 1
2.6 3
6.5
5
10.0
9
22.5
6
15.8
3 8.3
Lecturer
Other
3
1.6 1
2.6
2
5.0
3
8.3
(continued)
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NU MD PH
PT OT PA SW
(n= 191) (n =
38)
(n = 46)
(n = 50) (n
= 40)
(n
= 38)
(n=
36)
Variable
And
Categories
n
n n
n n
n
n
Experience
with IPE
None
62 33.0
7
18.4
10
21.7
9
18.4
8
20.0 5
13.2
7 19.4
< 1
year 27 14.4
5 13.2
4
8.7
6
12.2
3
7.5
5
13.2
3 8.3
1-2 years 31
16.5
7
18.4
8 17.4
8
16.3
7
17.5
10 26.3 6
16.7
3-4 years
26
13.8
2 5.3 8
17.4
11 22.4
8 20.0
7
18.4
3
8.3
>
5 years
42 22.3 17 44.7 16 34.8
15 30.6
14
35.0
11
28.9 17 47.2
Experience
with
IPHCT
None
27 14.1 7
18.4
7
15.2
5
10.0 2 5.0
4
10.5 4 11.1
< 1 year
10
5.2 2
5.3 3
6.5
2
4.0
1 2.5
1
2.6
1
2.8
1-2 years 17
8.9
5
13.2
5 10.9 3
6.0
2
5.0
5
13.2
5
13.9
3-4 years
19 9.9
1
2.6
5
10.9
5
10.0 1
2.5
5
13.2 2 5.6
> 5
years 118 61.8
23
60.5
26
56.5
35
70.0 34
85.0 23
60.5
24
66.7
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Table
2
Descriptive
Statistics
of Sample Age and Experience
Variables
NU
MD
PH
PT
OT PA
SW
(n =
191)
(n = 38)
in
=
46)
(n = 40)
U
in
= 36)
Age
Mean
54.43
49.24
46.09 48.32 49.49
49.59
51.39
SD 8.42
12.30 12.46 9.71 8.56 8.50
9.73
Range
34-81
31-73 0-52 28-68
30-65
31-67 32-69
Years
experience
as a
health professional
Mean
31.06 20.90
20.74
23.28 24.67 22.66
22.29
SD
9.14
13.04
14.46
10.82
10.10 8.29
11.05
Range
7-58 0-47 0-52
0-47
1-46 0-36
0-45
Years
experience as a
health
professional
educator
17.11
15.23
15.07 13.22
12.66
11.30
14.06
Mean
10.97
10.95 12.54
7.93 6.98
6.28 8.58
SD 2-40
2-40 1-49
1-33
1-28 1-32 2-38
Range
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Most of the respondents
in
the
total
sample (
N =
439) were nurses (n=
191).
The
NU
sample was
primarily
females who held their doctoral degree and taught at the
bachelor's level.
Most were employed as
full
time, permanent, teaching faculty. Less
than half
of the
nursing
sample was currently or
had previously
implemented
BPE.
The
mean age
of the
NU
sample
was
54
with
an
average
of 31 years experience as a health
professional
and an
average
of 17
years
as
a health professional
educator. The
majority
of the
NU
faculty were
tenured or on
a tenure
track
with
an
academic appointment of
assistant professor.
The MD
faculty
was
primarily male and nearly
all
held
a doctoral degree.
They
all taught at the doctoral
level.
Most were employed as
full time,
permanent, teaching
faculty
and
more
than
half of the MD faculty was currently or had previously
implemented IPE. The mean age
of
the
MD
faculty was 49with an average
of
21
years
experience
as
a
health professional and an average
of
15 years
as
a health professional
educator. The vast majority
of
MD faculty in this sample were in non-tenure track
positions with an academic appointment of assistant professor.
The
PH sample was primarily female. Nearly all pharmacists held their doctorate
and all taught at the doctoral level. All
were
full time, permanent teaching faculty. More
than half of the pharmacy
sample were
currently or
have
previously implemented IPE.
The
mean
age
of the PH
sample
was
46 with an
average
of
21 years
experience
as
a
health
professional and an average
of
15 years as
a
health
professional educator. The
majority
of PH subjects
were tenured or
on a tenure track
and
were full or
associate
professors.
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The PT
sample
was primarily
female. Most
PT
faculty held their doctorate
and
all taught at
the
doctoral
level.
Most were full time,
permanent teaching
faculty. More
than half of the
PT
sample
were
currently
or
have previously
implemented
IPE. The
mean age of
the PT
sample was
48 with
an average
of 23 years
experience as
a
health
professional and an average of
13
years
as
a
health professional
educator. The majority
of
PT subjects
were
tenured
or
on a tenure track and were full
or
associate professors.
The OT sample was
primarily
female. Most OTs held
their
doctorate and taught
at
the
master's level.
Most were
full
time,
permanent
teaching faculty. More
than
half of
the OT sample were currently or have previously implemented BPE.
The
mean age of the
OT sample was
49 with
an average
of
25
years
experience as
a
health professional and an
average of
13
years
as a health professional educator.
OTs
in this sample were mostly
tenured
or
on a tenure track and were primarily
associate
professors.
The
PA sample was primarily female.
Most
PA faculty held
their
master's
and all
taught at the master's level. Most were full time, permanent teaching faculty. More than
half of
the
PA
sample were currently
or
have previously implemented IPE. The
mean
age of the PA sample was 50 with an average of 23 years experience as a health
professional
and an average of
11
years as a health
professional
educator. PAs
in
this
sample were predominantly
in
non-tenure
track
positions
as
assistant professors.
The SW sample was
primarily
female. Most SW faculty held
their
doctorate
and
taught at the
master's level. Most were
full
time,
permanent
teaching faculty. More than
half of
the
SW
sample were
currently or
have previously implemented IPE.
The mean
age of the
SW
sample was
51
with an average of 22 years experience as a health
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professional and an average of 14 years
as
a health professional educator. The majority
of
SWs in
this
sample
were
tenured or on
a
tenure track and
were full or associate
professors.
Instrumentation
A
Demographic Data Form
(Appendix
B) was used to collect information for the
purpose
of
describing
study subjects and included
questions
to measure
the
variables of
subjective
norms
and intent to
engage
in IPE.
Two
research instruments that were
adapted
for
assessing faculty attitudes by
Curran et
al.
(2008)
were
used
to measure the
attitude variables. Instruments
are
discussed in detail in this section including a general
description,
validity, reliability,
and scoring. The first
instrument
was adapted by Curran
et al. from Parsell and Bligh
(1999)
and
measures
attitudes
towards
IPE (Appendix
C).
The second
instrument
was adapted by
Curran
et al. from
Heinemann,
Schmitt, and
Farrell (2002) and measures attitudes
towards
healthcare teams
(Appendix
D). Aside
from
the instruments developed
by
Curran
et al., there were no
other instruments in the
literature to measure the attitude variables. These instruments were chosen
for
use in this
study because they were designed specifically to measure faculty
attitudes toward
IPE
and
EPHCT which were the
research variables in
this
study. Table
4
presents Cronbach
alpha internal consistency reliability coefficients for the two attitude scales for each
group of
healthcare faculty.
Demographic Data Form
The Demographic Data Form
(Appendix
B) was used to collect information for
the
purpose
of
describing study subjects. Definitions
of IPE
and IPHCT were provided to
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Table 4
Cronbach
Alpha Reliability Coefficients of
Attitudes
Toward IPE and IPHCT
Variables NU MD PH PT
OT
PA SW
(n = 191)
(n
= 38)
(n
= 46) (n = 50) (n = 40) (n = 38) (n = 36)
Attitudes
towards IPE
.92
.91 .89
.88
.90
.93 .93
Attitudes
towards .90
.90
.85
.90
.86
.88
.85
IPHCT
subjects
to
promote understanding
of these concepts. Subjects were
asked
what health
discipline they teach, characteristics
of
their academic appointment, highest degree
achieved, employment status, age,
gender,
level of
experience with IPE or
IPHCT
and
the
type
of
experience they have had, and level
of
experience as a healthcare professional and
as a healthcare educator.
Attitudes Toward Interprofessional Education
Description. The
Attitudes Toward IPE Instrument
is a
14-item Likert
scale. It
was originally developed
by
Parsell and
Bligh (1999) as
the Readiness
for
Interprofessional Learning
Scale
(RIPLS)
with a
three factor scale
composed of 19
items
designed
to measure readiness
for
multi-professional
shared
learning and measured three
factors
(team work
and collaboration nine
items,
professional identity seven
items,
and
roles
and
responsibilities three items).
The
RIPLS
was adapted by
Curran et
al.
(2007)
for
use in assessing faculty attitudes toward IPE. Curran's
first
adaptation
of
this scale
had 15 items (roles and responsibilities factor was
totally
excluded
and
one item from
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professional
identity was
excluded
due to
not
applicable to survey population). In his
2008 study, Curran removed another item from his adapted 15 item scale on the basis
that
it
correlated poorly with the other 14 items.
When that one item was removed, the scale's
internal consistency reliability improved
from .89
to
.91
(Curran et
al.,
2008). For
the
purpose
of this study, the
instrument
that
was
used is Curran's
most
current
14-item
scale.
Validity. In
a
study by
Curran
et
al.
(2008), construct validity was established by
factor analysis
which
initially
revealed
three components consistent
with
the
original
authors' assessment.
However,
the
moderately high correlation between factors
1
and
2
(.53)
and
between factors
1 and
3 (.78) confirmed that
all three
factors
were measuring
the same general concept,
therefore,
all 14 items
were combined
into a one factor solution
yielding
a
univocal measurement instrument. The
size of
the sample in the Curran et
al.
(2008) study was 1179.
Reliability. Curran et al. (2008)explored internal consistency
reliability and
found a high Cronbach'salpha of .91. Curran's adapted scale,
which
is the scale that
was
utilized
for
this study, is composed of
14
items.
The
Attitudes Toward
EPE
Instrument
was
used in this study to measure faculty
attitudes toward IPE.
Internal
consistency reliability for the total sample
yielded
a
Cronbach's
alpha of
.91.
Cronbach's alpha
was also computed
for
faculty in each
of
the
seven
healthcare
profession groups
and demonstrated high
internal consistency reliability
for each group
with
a
range
of .88 to .93. The alpha
scores in this
study are
consistent
with the scores demonstrated by Curran et
al.
(2008) of .91 for the Attitudes
Toward IPE
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Instrument. Ail
items
in
this instrument had positive item-to-total
correlations for
all
of
the groups, indicating that
all
items contributed positively to the instrument reliability.
Scoring.
This scale consists
of
Likert scoring that ranges
from
1 (strongly
disagree)
to
5
(strongly agree). Item number
7
on this
scale was
negatively
worded and
was reverse scored
prior
to data analysis. Responses to the 14 items
were summed
to
yield
a
total score. Total scores could range from 14 to 70 and higherscores reflected
more positive attitudes toward IPE.
Attitudes Toward Interprofessional Healthcare Teams
Description.
The
Attitudes
Toward DPHCT Instrument is
a
14 item Likert scale
adapted
by
Curran et al. (2008). It was originally developed by Heinemann
et al.
(1999)
with
27 items
(quality
of
care 14
items, costs of team
care 7 items, and physician
centrality
6 items). Curran's et al. adaptation
of
the scale excluded the physician
centrality factor (six
items)
since
it
was felt
that
this factor was
not
applicable to his study
population
due
to the limited experience
his
student subjects had in this
area.
Other
changes to
the
original tool by Curran
included removal
of 3 of the
14
quality of care
items for
a
total now
of
11 quality
of
care items and removal
of
4
of
the 7 costs
of
team
care
items.
The final version
of
the tool, that was used in
this
study, consists of 14 items.
Physician centrality remained
excluded since it
would not be applicable to
the
other six
disciplines in this research.
Validity. Three factors were identified in the original
scale by
Heinemann,
Schmitt,
and Farrell (2002), the original authors. Curran
et
al. (2008) explored
the
construct validity through factor analysis and found two main components that explained
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34.1% and 9.8% of the
variance,
respectively
(quality
of
care
=
11
items, and
team care
=
3
items). The size
of
the sample
in
the Curran et al. (2008) study
was
1179.
Reliability. Internal consistency reliability in a study
by
Curran
et
al. (2008)
yielded
a Cronbach's
alpha
of
.83.
Curran's et al.
adapted scale and
the scale
utilized
for
this study
uses
11 items from qualityof care and 3 items from the teamcare factor for an
instrument
total
of 14
items.
The Attitudes Toward
IPHCT Instrument
was used in this
study
to measure
faculty attitudes toward IPHCT.
Internal
consistency reliability for
the
total
sample
yielded
a Cronbach's
alpha
of
.88.
Cronbach's alpha was also
computed
for faculty
in
each
of the seven
healthcare profession groups and demonstrated high internal
consistency reliability for each group
with
a range of .85 to .90. The
alpha
coefficients in
this study are higher
than
the alpha
of
Curran's et al.(2008) alpha of .83. All
items
in this
instrument had positive item-to-total correlations
for
all of the groups, indicating
that
all
items contributed
positively
to
the instrument
reliability.
Scoring. This scale consists of Likert scoring ranging from
1
(strongly disagree)
to 5 (strongly
agree).
Items number 2,
6,
and 9
were
negatively
worded
on this scale and
were reverse scored prior to
data
analysis. Responses to
the
14 items were summed to
yield a
total
score.
Total scores could range from 14 to
70
and higher scores reflected
more
positive attitudes
toward IPHCT.
Subjective
Norms
Description.
Subjective norms were measured using two single item, continuous,
7-point
magnitude
continuous
rating
scales. The first scale
stated
"My
faculty
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colleagues think I should or should not engage in
IPE."
The second scale stated "My
school's
administrators think
I
should orshould not engage in IPE." The rating scales
ranged
from
1
(I should
not)
to 7 (Ishould).
Validity.
The single-item
measures
of subjective norms were
not
tested for
validity. No multiple-item measures currently exist for measurement
of
IPE subjective
norms so criterion and construct validity could not be assessed.
However,
several
researchers have found single-item measures
to be valid and
useful.
Woods
and
Hampson (2005) concluded
that
single-item measures
of
personality
demonstrated construct validity with convergence (r
=
.61) when compared to multiple-
item
scales.
West, Dyrbye,
Sloan, and Shanafelt (2009)
compared
single-item
measurement
for the
assessment
of
burnout against a well validated
burnout
instrument
and demonstrated
concurrent
validity
through
correlations that ranged
from
.61 to .83.
West et al. determined that the single-item measures provided meaningful information
and stratified burnout risk consistently.
DeSalvo, Fisher, Tran, Bloser,
Merrill, and Peabody
(2006)assessed the
measurement properties of two single-item health questions and determined good
concurrent
(r
=.56
and .59)
and discriminant validity (ANOVA, p
< .001).
Dollinger and
Malmquiest
reported good
validity
when they correlated single-item measures with
multiple-item
measures. Single-item
measures
in
Jordan and
Turner's
2008
study on
organization justice demonstrated concurrent validity.
Face
and content
validity
of
subjective norms single-item measures was assessed
prior
to administration of the
items.
A
total
of 10 HCF from
the health
disciplines of
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nursing, social work, and medicine assessed the single-item measures
for
their relevance
and
determined that they measure what they intended
to
measure. Barofsky, Erickson,
and Eberhardt (2004) sought
to
determine whether single-item use may
be
substituted for
multiple-item use in their
study
of persons
with and without
diabetes. They were
unsuccessful in providing enough evidence that single-items may be consistently
substituted
for
multiple-item instruments. Hasson and Arnetz (2005) found that single-
item measures, although comparable to multiple-item measures, should not
be
considered
interchangeable. This
position
is
consistent
with
Gardner, Cummings, Dunham, and
Pierce (1998) who indicated that single-item measures are appropriate in
certain
situations,
especially when
multi-item instruments are
not
available.
In
this
research,
there were
no other
instruments available
for use for
assessment
of
IPE
subjective
norms,
therefore, substitutability
was
not an issue since no multiple-item instrument existed.
Reliability.
The single-item measures
of
subjective norms were not tested for
reliability.
This
study
collected data onone
occasion only
so
there
was no
opportunity
for
test-retest procedures.
However, several
researchers have
found
single-item measures
to be reliable and
useful.
Woods and Hampson
(2005)
concluded
that single-item
measures of
personality
demonstrated test-retest reliability. Woods
and
Hampson stated single-item measures
encourage participation because they
save
time and are easier
for participants
to engage
in. They
also
recommend a bi-polar approach when using single-item
measures. The
measurements
of
subjective norms in this study were bipolar constructs
since
they
contain contrasting descriptions
at each
end of the
Likert scale.
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DeSalvo et
al.
(2006) concluded that single-item
measures
of
health
demonstrated
good reproducibility
and
reliability
when
administered two weeks apart
(r
=
.74).
Dollinger and Malmquist (2009)
concluded
that
single-item measures are more reliable
and
valid
than commonly thought when
they
found good to
excellent
test-retest reliability
of
single-item measurement
of
college students' alcohol use, religiosity, and social
life.
Single-item measures in Jordan and Turner's 2008
study
on organization justice
demonstrated
reliability
coefficients of .70 and above.
The
subjective norms single-items measurements in this study demonstrated
utility since
they
were very practical,
demonstrated ease
of
use, took
very little
time
to
complete, and the language and phrasing was determined to
be
clear
by
the
HCF
who
assessed the items
for
content and
face
validity.
Scoring. This scale
used
a 7-point rating scale
with
the anchor
points
identified
as 1
(I
should not) and
7 (I
should). Total scores could range from 1 to
7.
Higher scores
reflected stronger
perceptions that
faculty colleagues
and
school's administrators
believe
HCF should engage
in IPE.
Intent
to
Engage in IPE
Description.
Intent
to Engage in IPE was
measured
using a single item,
continuous, 10-point, magnitude
rating scale. Subjects
were asked how likely they
were
to engage in IPE
within the next
three years.
The
rating scale ranged from 1 (not
at
all
likely
to engage in IPE within the next 3 years) to 10 (very likely to engage in
IPE
within
the next 3
years).
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Validity.
No
multiple-item measures currently
exist for
measurement
of intent to
engage in IPE
so
criterion and construct validity could not
be
assessed. However, a
number of researchers have found single-item measures
to
be valid and useful as
mentioned
above
under
the subjective
norms validity subheading.
Face
and content validity
of intent to engage
in IPE single-item measure
were
assessed prior
to
administration. A total
of 10
HCF from the health disciplines of
nursing, social work, and medicine assessed
the
single-item measure
for its relevance
and
determination
of
the scale measuring
what
it
was intended
to
measure.
Reliability. The single-item
measure
of
intent
to
engage in IPE was not tested
for
reliability. This study collected data
on one
occasion only so there was no opportunity
for test-retest
procedures. However,
a
number
of
researchers have found
single-item
measures
to
be reliable and useful as mentioned above
under
the subjective norms
reliability subheading.
Scoring. This
scale
consists of a
10-point, magnitude rating scale ranging
from 1
(not
at all likely to
engage
in
IPE
within the next 3 years)
to 10
(very likely to
engage
in
IPE
within the next
3
years). Total scores could
range
from
1
to 10
and
higher scores
reflected stronger likelihood
of
intent
to
engage in IPE within the next
3
years.
Data Collection
Procedures for Data Collection
Institutional Review Board (IRB) approval
was
sought and attained from Widener
University (Appendix
E).
Upon approval, an email message was sent
to
each
of
the
healthcare faculty asking them to complete an online survey.
The
Dillman Tailored
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Design Method (TDM) was used in an attempt
to
achieve
a
predicted response rate
of
80% (Dillman
et
al., 2009).
TDM
recommends
a
"3 Contact
Strategy"
(Dillman
et
al., 2009, p. 276). When
using
an
email survey,
the
first email
introduces
the potential
study
subject
to
the
survey,
provides essential study information,
and
provides a method
for
the
subject to enter
the
survey, such as a link to the survey. The second email serves as
a
reminder and
again
provides
a
link
to
enter the survey. The third email serves as another reminder
with
the
link again, but, also includes a message about the importance of
responding
and the short
time left to complete the survey.
Timing is important
when using
the"3 ContactStrategy".
Per
Dillman
et
al.
(2009),
the
exact timing sequence for emailed
online
surveys
is
not yet known. Regular
mail surveys
are
sent out two to four weeks apart. However, email surveys have a faster
tempo because the emails arrive instantly
to
the subject inbox. Emails
may
also be more
easily forgotten or dismissed by the potential subject since emails are
not
physically
present
and
potentially laying on
a
desk or in
a
file to be found again.
For this study
the
researcher
decided that
emails
would be sent
1
week
apart. This
was
decided
to give
potential subjects time to
process
the first email before they received the second email
and then finally the last
email.
Dillman et
al.
stated that, while emails may be sent out
as
frequently as 2 to 4
times
a day, he does not recommend
this option.
The bulk of email responses came in within
48
hours
of
an email with the survey
link being sent
out.
Within
one
week, responses would start
to
dwindle
so the
timing
strategy
for
this study was appropriate. When an
reminder was sent
out,
over the
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following 48 hours responses
would
come
again in
bulk
until they
began to dwindle over
a
week's
time.
HCFemployed within
the selected
10
to
20%
health discipline programs
within
the
four
census
bureau U.S. regions received
emails
with
the
online Survey Monkey™
link. The email
explained
the study's
purpose, procedures, risks and benefits,
alternatives,
costs,
compensation, confidentiality, right to
withdraw,
contact information
for
the principle investigator, and link to the online survey.
Subjects
were advised
that
they could email this
researcher
to ask any questions
they may have had and
to request
study results.
This
researcher received
a number of
emails and
one
telephone call. The email messages received were primarily requests
for
the
study
results or
statements from subjects stating they filled out the survey and offered
best
wishes
or good luck with
the
study. A few responses
were
"out of the office"
automatic replies. There
were
two emails from professor emeriti asking whether or
not
they
should participate since they are
retired but
still
actively working
with
students.
replies
were sent to all inquiries, stating
that
retired
professors were
welcome to
participate in
the study since
they were
still active
with
students,
and
a
summary
of
the
study results would be sent upon
completion
of the study, at
the
end of spring
2012.
There was one call
and two emails
from
two subjects asking how the
researcher
obtained their
addresses. The researcher responded with
a
description
of
the
stratified
random selection process and availability
of
public availability
of University
email addresses. Both of those subjects were satisfied with the explanation and then
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completed
the
survey. There were no email messages or
calls
that
pertained
directly to
the
survey
itself
or any issues subjects
had with particular
questions.
Subjects were
contacted initially
via
publically
available email
addresses
with the
message inviting them to participate in the study. Email reminders sent one week apart
to
non-responders. A second email
that served
as a reminder
and
included the survey link
and
all information
that was included
in the
initial invitation to participate email was
sent
out
one
week after
the initial
email to non-responders. Subjects were contacted
a
total
of
three times one
week
apart. The
survey
was closed once there were 33
minimal
responses
from
each
of
the
7 health
profession groups.
In
each email
that was sent
to
healthcare
faculty inviting them to
participate in
this study, there
was
a link to the survey completion and submission site at Survey
Monkey™. Instructions for survey completion
and
submission were
included
in the
email. A letter
of
explanation, that was part
of
the study invitation email, included
information
that
participation in the
study
is voluntary.
It
took
study subjects
approximately 20 minutes
to
complete the
total survey including
the
two research
instruments
and
the Demographic
Data
Form.
Protection of
Human
Subjects
Informed consent
was implied
when a
subject
entered the
survey website
and
submited
a
completed survey. Subject anonymity and confidentiality were preserved
since there were
no
names attached to the online submitted surveys. Once a survey was
submitted online
there
was no way to withdraw from
the
study. Survey
Monkey™
raw
data will be
kept
for
one
year following study completion then destroyed through deletion
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of the Survey Monkey™ account.
Offline
data
were
stored
in
a
password
protected
computer. An electronic data file was stored on a zip drive
and
kept
in
a locked cabinet
at this
researcher's
home. Printouts of
raw
data will be kept for one year following
completion of the study then destroyed by shredding. Data on the
password protected
computer will be kept for one
year
following completion of the study then deleted from
the
computer
hard
drive.
Data on zip drives will be kept indefinitely.
Survey
Monkey™ protects
user
security
by
providing unique usernames and
passwords, only enabling
session
"cookies" for the duration
of
a logged in session,
and
using
Secure Sockets
Layer (SSL) server authentication and
data
encryption.
Network
security includes firewall restrictions,
intrusion
detection, network scans
and
network
audits.
Risks.
There
were no anticipated
risks
associated with participation in
this study.
Benefits.
There were
no
anticipated direct benefits for subjects participating
in
this study.
However,
participation
in the
study may
have
encouraged
somefaculty
to
actively consider
IPE if they had not considered
it
previously. Data
from this
study will
advanced
nursing's
and other health professions' knowledge
of
faculty attitudes toward
IPE and IPHCT. This information may assist in the advancement
of
interprofessional
education
within health
professions.
Costs
and
Compensation.
There were no
costs
to participate
in
this study.
Subjects
did
not receive any compensation, payment, or incentives for participating
in
this study.
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Confidentiality.
All
documents
and
information
pertaining
to this
research
study
were kept confidential in accordance
with all
applicable federal, state, and local laws and
regulations.
Data generated by
the
study
may be reviewed by
Widener University's
Institutional Review Board, which is the committee responsible for ensuring
research
subject
welfare
and rights, to assure
proper conduct
of the study
and
compliance with
university
regulations. Any
presentations
or
publications
resulting from this
research
will
not
identify schools or subjects
by name. SPSS
raw data
files
were
accessible to the
members
of the
researcher's
dissertation committee.
Alternatives and Right to Withdraw.
The alternative was to not participate in
the study. Participation in this study was voluntary. Subjects had the right
to
withdraw,
skip any
questions
or
exit the survey
at
any time without penalty. However,
once
subjects submitted the survey online, they were then
unable
to withdraw from the study.
Delimitations
One delimitation
of this
study
is
that subjects included
only those faculty with
publically
available
addresses
on
their school
or
education program
website.
Data Analysis
This descriptive study
was
based on
Fishbein and
Ajzen's Theory of Reasoned
Action (1975)
as
the framework
for
examining
HCF
attitudes towards
IPE,
P healthcare
teams, subjective norms that influence HCF intent to engage in IPE, relationships among
HCF attitudes
toward
IPE,
IPHCT and intent to engage in IPE and
the
differences
in
attitudes toward IPE and IPHCT among healthcare faculty from various professional
healthcare professions. The
statistical methods that were used to analyze and interpret
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the data were descriptive statistics, stepwise multiple regression, and
one
way
multifactorial analysis
of
variance (MANOVA). Data were analyzed using SPSS
version
18.0 to
answer
the
research questions
and
test
the
hypothesis.
Missing Data
Demographic data
that
were missing
were left blank in
the raw data file.
However, if a subject failed to identify
the
health
professional
program in which they
taught,
they
were excluded because the health
profession
was necessary
for data
analysis
for the purpose of answering the research questions.
Subject
responses
that
were missing
more than 10%
(two or more questions) from either of the
attitude
instruments
were
excluded from analysis. There were
12
subjects removed for these reasons. Nine
subjects were removed because they had two
or
more questions missing
from
either
attitude instrument and three subjects were removed because they failed to
list
their
health
profession. For subjects who had only one or two questions unanswered on either
attitude instrument, the missing data was replaced
with
the subject's own mean score.
Descriptive Statistics
Demographic
data
were analyzed and summarized using descriptive
statistics.
Frequencies
and
percentages were used
to
describe the number
of
subjects in each
discipline,
the subjects
taught
in, age,
gender,
level
of experience with
IPE or IP
healthcare teams and the type of experience they have had, the nature of their academic
appointment and position, employment
status,
and
level of
experience as
a
healthcare
professional
and as a health professional
educator. Measures of central tendency
and
dispersion were computed to describe variability
of
the
types
of
disciplines and
whether
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or not
the healthcare
faculty has
had
experience with
IPE
or
IPHCT and
their attitudes
toward IPE and IPHCT. Frequencies and percentages were also computed to describe
healthcare faculty experience with IPE or
EPHCT.
Research Questions One,
Two,
and Three. To
answer the
first
research
question,
"What
are
HCF attitudes toward IPE and EPHCT?", the second research
question
"What
are thesubjective norms that influence HCF intent
to
engage in
IPE?",
and the third research question,
"What
are
HCF
intentions regarding engaging in IPE
within the next three years?", descriptive statistics,
measures
of central tendency,
measures
of dispersion and
shape
of the
distribution curve
were computed.
Research Question Four. To
answer
the
fourth research question,
"What are the
relationships among
HCF
attitudes toward
IPE,
IPHCT and intent
to
engage in
IPE?"
A
stepwise multiple
regression analysis
explained the
relationships between
these
three
variables. Multiple regression serves to identify subset variables that are most
useful
for
prediction
of an outcome. In
Research Question
4,
the predictor variables
are interval
level
measures
(attitudes
toward IPE and attitudes
toward
IPHCT). The outcome
variable,
intent to engage
in IPE,
is also
an interval level measure. In
a stepwise
regression, predictor variables are entered or removed from an analysis individually so
that the researcher can determine
the
percent
of
variance explained
of
an outcome
variable based
on a
particular predictor variable (Burns &
Grove,
2009). In this analysis,
HCF attitudes
toward
IPE and attitudes
toward IPHCT were
examined for the
predictive
value of how likely each explains intent to engage in
IPE.
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Research
Question
Five.
To answer the fifth research question, "What are the
differences
in
attitudes
toward
IPE and IPHCT among healthcare faculty from various
professional
healthcare
programs?" a
MANOVA
was computed.
A MANOVA was
chosen
for Research
Question
5
because
it
determines the differences between two
or
more
groups of a nominal
(categorical) independent variable
(IV)
on the
two
or more
interval
level
dependent variables (DVs).
In this question,
the IV is
healthcare faculty
from seven groups
of
professional healthcare programs.
The
DVs are attitudes toward
IPE
and attitudes
toward EPHCT
which
are
both
measured at the
interval
level.
Chapter Summary
The
methodology
for this descriptive
correlational
and comparative study was
presented in this chapter. A proportionate, random, stratified nationwide sample of
healthcare
faculty in seven
disciplines
in
274
health programs across
the U.S.
was
selected. Emails were sent
to
healthcare faculty from seven different selected disciplines
who were
employed
within
programs that
met the
stated inclusion
criteria.
A link
to the
Survey Monkey™ online survey of Attitudes toward EPE and
Attitudes toward
IPHCT
surveys
was emailed to study
subjects using Dillman's
TDM (Dillman
et al.,
2009)
in
an
effort
to achieve a
high
survey return rate. Demographic and research instrument
data
were collected and analyzed. Data analyses were completed
using
SPSS
version
18.0.
Anonymity and confidentiality of subjects was maintained.
A discussion
of
the instruments that were used in the study is presented.
Discussion includes a general description of the instruments including
reliability and
validity.
Data
collection
procedures
are described
in this
chapter
including
a discussion
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of study risks, benefits, costs and compensation, confidentiality, alternatives, and
right
to
withdraw as these areas relate to Widener University
IRB
approval. Study delimitations
were addressed.
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Chapter IV
Findings
The aims of this study
were to
explore
healthcare faculty
(HCF)
attitudes
toward
interprofessional education
(IPE)
and interprofessional
healthcare teams
(IPHCT), to
explore HCF perceptions
of
subjective norms' influence on HCF intent
to
engage in IPE,
to explore
HCF
intent to
engage in IPE, and to explore differences among types
of
HCF
in attitudes toward IPE and IPHCT and intent to
engage in
IPE. Analysis of data from
the
final sample (N = 439) is discussed, summarized, and
presented in this
chapter.
SPSS, version 18,
was
used to
compute
all statistics
for
this
study.
Research Questions
Research Questions One, Two, and Three
Descriptive
statistics,
measures
of
central tendency, measures
of
dispersion
and
shape
of
the distribution curve were computed to answer the
first
three research
questions,
"What
are HCFattitudes
toward
IPE and IPHCT?", "What are
the
subjective
norms that influence HCF intent to engage
in
IPE?"
and, "What are HCF intentions
regarding engaging in
IPE?"
Details of the statistical analysis are presented in Table
5.
Research
Question One:
Attitudes
toward IPE. Research
question
one
asked,
"What
are
HCF
attitudes toward IPE and IPHCT?" Possible scores on the Attitudes
Toward IPE
instrument
could range
from 14 to 70. Higher
scores reflected
more
positive
attitudes toward
IPE. Nearly all ranges
of
scores were above the
midpoint
of
possible
scores of 42
and had means that ranged from 60.34 to
62.92
(
SD
range
=
5.64 to 7.87)
with multiple modes (ranging
54
to
70) within
the seven healthcare faculty groups.
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Table 5
Descriptive Statistics
of
Attitudes Toward IPE, Attitudes Toward IPHCT, Subjective
Norms,
and
Intent
to Engage
in
IPE
Variables NU MD PH PT OT PA
SW
n = 191) n =
38)
n== 46) n =
50)
n =
40)
n = 38) w = 36)
Attitudes
toward IPE
Possible Range
(14 to 70)
Mean
62.17 60.34
62.17 60.74
61.88
60.39
62.92
SD
6.44 7.24 5.64
5.84
5.73
7.87
6.78
Range
42-70 41-70 51-70
47-70
51-70
37-70
45-70
Skew
-.76 -.85
-.05
.10 -.19
-.85
-.72
Kurtosis
.29
.30 -1.03 -.71
-1.05
.45
.39
Attitudes
toward
IPHCT
Possible Range
(14 to
70)
Mean
56.05 55.63 56.41
54.88
55.65
55.79
58.36
SD
7.11 7.10
5.85
6.97
6.42
7.32
6.43
Range
29-70
33-69 44-70
35-70
45-70
39-70
44-70
Skew
-.21 -.64
.11
-.01
.44
-.52
-.24
Kurtosis
.65
1.84 -.50 .39
-.23
.09
.39
My faculty
colleagues
think I should
engage
in
IPE
Possible Range
(1 to 7)
Mean
5.74
5.45
5.96
5.90 5.92
6.13
6.06
SD
1.57 1.57 1.38
1.40
1.40
1.56
1.41
Range
1-7
2-7 1-7
2-7 2-7
1-7
2-7
Skew -.98 -.36
-1.40
-1.18
-1
-2.20
-1.21
Kurtosis .06 -1.37
2.04
.70
-.15
4.66
.37
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Variables NU MD PH PT OT PA
SW
(« =
191)
n
= 38) (» =
46)
w
=
50)
n
=
40)
n
=
38)
n
= 36)
My
school's
administrators
think
I
should
engage
in
IPE
Possible Range
(1
to 7)
Mean
5.87 5.46
6.17
6.16 5.83 6.24
6.12
SD 1.48
1.50 1.37 1.33
1.39
1.38
1.37
Range
1-7 2-7 1-7
2-7
2-7
1-7
2-7
Skew
-1.07 -.23 -1.90
-1.44 -.93
-2.07
-1.44
Kurtosis .24 -1.35 3.60 1.03 -.12 4.46 .40
Intent
to
engage
in
IPE
Possible Range
(1 to 10)
Mean
6.81 7.76 7.63
8.42
7.38 8.39
7.49
SD
3.19
2.95 2.70 2.43 3.13 2.72
3.07
Range
1-10 1-10 1-10 2-10 1-10 1-10
1-10
Skew
-.53 -1.23
-.92 -1.58 -.83 -1.77
-1.05
Kurtosis
-1.16
.33
-.13
1.39 -.73
1.90 -.34
For all seven groups, the distribution
of
scores on Attitudes Toward IPE approximated a
normal
curve indicating scores were
normally
distributed, with
skew
and kurtosis
within
the range of +/-1.00 as recommended
by
Munro (2005).
Research Question
One: Attitudes
toward IPHCT.
Possible scores on the
Attitudes Toward EPHCT instrument could range from 14 to
70.
Higher
scores reflected
more
positive attitudes toward EPHCT.
Minimum scores
for the
Attitudes
Toward
IPHCT
fell
below the midpoint of possible scores of
42 for
four
of
the seven groups and
had means that ranged
from 54.88
to 58.36 (
SD
range =
5.85 to
7.32)
with
multiple
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modes
within
the
seven
healthcare faculty
groups.
For six of
the seven
groups, the
distribution
of
scores on Attitudes Toward IPHCT approximated a normal curve,
indicating
scores
were normally
distributed,
however,
the curve of the scores for MD
faculty
was more
peaked than
a
normal
curve, indicating less
variability
in these scores.
Research Question
Two:
Subjective norms.
Research
question two, "What are
the subjective norms that influence HCF intent to engage in
IPE?"
was analyzed using
a
7-point Likert scale. Possible scores on these items could range from 1 to 7. Higher
scores reflected greater influence of faculty colleagues
and
school's administrators on
subjects'
perceptions
of
their influence
on
engaging in IPE. The modal
score
was
consistently 7 across all
HCF
groups for
both
items
measuring
subjective norms.
Minimum scores for
whether
faculty
believed
their faculty colleagues think they
should engage
in
IPE fell below the midpoint
of
3.5
of
the possible scores and
had
means
that ranged from 5.45 to
6.13
(SD range = 1.38 to 1.57). Consistent with scores for the
first SN item,
for
five of the seven groups, the distribution of scores on SN (school's
administrators) approximated a normal curve; however, the curves of the scores for PH
and PA faculty were more peaked and negatively skewed
than a
normal
curve
indicating
there
were
more high scores than low scores.
Research
Question Three: Intent to
engage
in IPE.
Research
question three,
"What
are HCF intentions regarding engaging in IPE?" was
analyzed using
a 10-point
Likert scale. Possible scores on this instrument could range from 1 to 10. Higher scores
reflected
greater likelihood of engaging in BPE
within the next
three
years.
Mean scores
ranged from
6.81 to 8.42
(SD range
= 2.43
to 3.19). All HCF groups
had a
mode of
10
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103
and 35.4% to 57.9%
of HCF stated
they are very likely
to
engage in
or continue to
engage in IPE within the
next
three
years.
Only 4.3%
to
9%
indicated
they are
not
likely
at all to engage in IPE within the next three years. For five of the seven groups, the
distribution of scores on intent to engage in EPE
approximated
a
normal
curve;
however,
the curves of
the
scores for PT
and PA
faculty were
more
peaked and negatively
skewed
than
a
normal
curve
indicating there were more
high
scores
than
low
scores.
Research Question
Four
A stepwise multiple
regression
analysis
was computed
to
answer
the
fourth
research question, "What are the relationships among HCF attitudes toward IPE, IPHCT
and
intent
to engage
in
IPE?"
An
initial
Pearson correlation
matrix
revealed
that
both
attitude variables
were
significantly,
but
weakly, related to intent toengage in
IPE
(Table
6).
Table
6
Pearson Correlations of Attitudes
with
Intent to Engage in IPE
Variables Correlated with
Intent
to
Engage
in
IPE
r
£
r_
Attitudes toward IPE
.31
<.001 9.5%
Attitudes
toward IPHCT
-23 <.001
5.3%
Multiple
regression
analysis
revealed
that attitudes toward IPE was the single best
attitude predictor
of
intent to engage in
IPE (R=
.31, p
<
.001) but only explained 9.5%
of the
variance
in intent to engage
in
IPE scores.
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Attitudes toward DPHCT alone explained 5.3% of
the variance
in
intent
to engage
in
IPE
scores. However, attitudes toward IPE and attitudes toward
EPHCT
were
significantly related
(r
=
.75, p <.001) and shared 56.3%
of
the variance in their scores.
The
two
predictor
variables were
strongly correlated, demonstrating
multicollinearity.
Attitudes toward
IPHCT failed
to enter
the regression equation because
it did not
correlate well with and was not
a
good predictor
of
intent to engage in IPE, and was
strongly related to attitudes toward IPE.
Stepwise
multiple regression analysis did not
yield any more information than the simple Pearson correlations in this statistical
analysis.
Details of the stepwise multiple regression analysis are
presented
in Table 7.
Table
7
Stepwise Multiple
Regression of
Health Care
Faculty
Attitudes
Toward IPE,
Attitudes
Toward IPHCT and Intent to Engage in IPE
Model R
R
l
R
2
A
F
df
P
1
Attitudes toward IPE
.31
.095
.095
45.72 1,434 <.001
Research Question Five
To
answer the fifth research question,
"What
are the differences in attitudes
toward
IPE
and
IPHCT
among
healthcare faculty from
various professional healthcare
programs?"
a
MANOVA was computed.
The
seven groups
of
faculty had relatively
equal means for both instruments with
a
range of 60.34 to 62.92 for Attitudes Toward
IPE
and
a range of 54.88 to 58.36 for Attitudes Toward IPHCT.
Descriptive statistics for
the
two attitude
variables,
by
groups, were presented earlier in
Table 5.
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Differences among the
seven
HCF groups
on attitudes
toward
IPE were
not
significant. Differences among the seven HCFgroups
on
attitudes
toward
IPHCT were
also
not.significant. These results indicated there
were no
significant differences among
the groups
of
faculty regarding attitudes toward IPE or IPHCT. Details
of
the MANOVA
analysis are presented in Table
8.
Table 8
MANOVA
Comparing 7 Disciplines of
Health
Care Faculty on Attitudes Toward IPE and
Attitudes Toward IPHCT
Variable F
df p
Attitudes
toward IPE
Attitudes
toward IPHCT
Additional Analyses
Pearson correlations, independent
t-tests,
one-way ANOVAs,
and
MANOVA
were computed to explore various relationships
and
differences with the demographic
and research variables in
the data set.
Statistically significant findings and non
significant findings, based on additional analyses
of
demographic data and research
variables, are summarized
and
presented.
In addition, positive and negative factors that influenced
HCF
engagement in IPE
were
analyzed as part of the
additional
analysis for this study. Positive and
negative
factors that
influenced
faculty engagement in IPE were analyzed
through
identification of
1.11
6, 432
.356
.98 6,432
.438
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categories
in
faculty responses to two
open-ended
questions
on the Demographic
Data
Form. Responses for each question
were
categorized
and then
quantified through
counting
of
frequencies. The
frequency
distribution of categories
provided
an assessment
of what
factors influenced
HCF
intent
toengage
in
IPE based on how
often each
of
the
categories were cited in the
survey responses.
Statistically Significant Additional Findings
Pearson correlations revealed that scores for the two SN
variables,
"My
faculty
colleagues think I should/should not engage
in
IPE"
and
"My
school's administrators
think
I
should/should not engage in
IPE"
were significantly
related to scores on
intent to
engage
in
IPE.
Table 9
Pearson
Correlations
of Subjective
Norms for Faculty Colleagues
and Subjective
Norms
for School's Administrators with Intent
to
Engage in IPE
SN Variables Correlated with
Intent to Engage in IPE
r
£ r^_
SN faculty colleagues
.43
<.001 18.5%
SN school's administrators .52 < .001
27.0%
A
multiple regression analysis
was
computed
to
regress the
two
attitude variables
and the
two
SN
variables on intent
to engage
in IPE
scores. The
analysis revealed
that
SN school's administrators was the best predictor of and explained 26.6% of the variance
in intent to engage in IPE. Attitudes toward IPE was the next significant predictor and
added an
additional
2.7% explanation
of variance (Table
10).
Thus, a
total
of 29.3% of
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Table 10
Stepwise Multiple Regression
of
Health Care Faculty Attitudes Toward IPE, Attitudes
Toward IPHCT, Subjective
Norms
for Faculty Colleagues, Subjective
Norms for
School's
Administrators and Intent to Engage in IPE
Model R R
l
R
2
A
F
df
P
1 Subjective Norms-
School's Administrators
.52
.266
.266 151.40
1,417
<.001
2
Attitudes toward IPE .54 .293 .027 15.96
1,416 <.001
the variance in
intent
to engage in IPE was explained
by the
linear combination
of one
SN
and
one Attitude variable (R
=
.54, p <.001). Attitudes toward IPHCT and SN faculty
colleagues failed to enter
the
equation.
Independent f-tests were computed
to
compare teaching
faculty
and
administrative
faculty scores
on the research variables attitudes toward
IPE,
attitudes
toward IPHCT,
intent
to
engage
in IPE, beliefs that faculty colleagues think
HCF
should
engage
in IPE
(SN colleagues),
and beliefs
that school's administrators
think
faculty
should engage
in IPE (SN
administrators). There were statistically significant differences
on intent to
engage in
IPE, SN colleagues, and
SN
administrators. Independent
r-tests
were also computed to compare HCFwho were currently engaged in IPE and those
who
were not, and between those HCF who were previously
engage
in
EPE
and those
who
were
not
for all research variables. There were statistically significant differences among
the groups
for
all variables. Details of the
r-test
analyses
are
presented in Table 11.
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Table 11
Results of t-Test Analyses Comparing Groups fromDemographic Variables
on
the
Research
Variables
Research
Variable
Demographic
Variable
and Groups
n M
SD
t df
Attitudes toward
IPE
Currently
engaged
in
IPE
Yes
No
5.36 371.69
<.001
248
63.16 5.80
191
59.85
6.83
Previously engaged
in DPE
Yes
No
3.49 367.25
249 62.67 6.01
186 60.47 6.87
.001
Attitudes toward
IPHCT
Currently
engaged
in IPE
Yes
No
4.41 443 <.001
248
57.29 6.73
191 54.43
6.75
Previously engaged
in
IPE
Yes
No
2.91 433
249 56.89
6.86
186
54.97 6.81
.004
Intent
to
engage
in IPE
Position
Teaching
Administrative
-2.60 118.48
356
7.26
3.10
71
8.14
2.47
.010
Currently engaged
in IPE
Yes
No
246
8.99 1.95
190
5.32
2.96
14.79
310.15
<.001
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Research Demographic
Variable Variable
n
M
SD
t
df
p
and
Groups
Intent
to engage
in
IPE
Previously engaged 9.36
336.80
<.001
in
IPE
Yes 248 8.48 2.46
No 184
5.87 3.13
SN colleagues
SN
administrators
Position -2.09 112.10 .039
Teaching
343 5.77
1.54
Administrative
71
6.14
1.33
Currently engaged
9.74
296.63 <.001
in IPE
Yes 243 6.42 1.09
No 181 5.06 1.63
Previously
engaged 7.21
303.55
<.001
in IPE
Yes 245 6.27 1.22
No
175 5.21
1.65
Position -3.72
133.33 <.001
Teaching
346 5.85
1.49
Administrative 71
6.41 1.06
Currently engaged 10.99
280 15 <.001
in IPE
Yes
247
6.55 97
No 180 5.12 1.55
Previously
engaged
7.30
315.65
<.001
in
IPE
Yes 247 6.36 1.19
No 176 5 35 1.54
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Non-Significant
Additional Findings
Pearson correlations were computed for age, years experience as a health
professional, and years experience
asa
health professional educator
for
the research
variables attitudes toward IPE, attitudes
toward IPHCT,
SN
faculty
colleagues, SN
school's
administrators, and intent to
engage
in IPE. None of the correlations were
statistically significant.
Based on independent r-tests,
there
were no statistically significant differences
between males and females or among the groups on employment status, current faculty
position, or highest level of education for scores on any of
the research
variables.
Independent
f-tests
also revealed that there
were
no statistically significant differences
between teaching
faculty
and
administrative
faculty
for
attitudes toward
IPE,
attitudes
toward
IPHCT,
SN faculty colleagues, or SN school's
administrators.
ANOVAs were computed
to
compare the various faculty ranks and tenure status
for all attitude, SN,
and
intent to engage in IPE
research
variables. There were no
statistically significant differences
among any
of the faculty rank
or
tenure groups.
MANOVA
was computed to explore differences
among the seven
HCF groups on
SN
faculty colleagues
and
SN
school's
administrators. Results indicated
there
were no
significant differences
among the
groups
of
faculty on
SN
faculty
colleagues
and
SN
school's administrators.
Positive
Factors
Influencing Engagement
in IPE
Using
the Survey Monkey™ text analysis feature, 26
initial
categories of
positive
factors that
influenced
engagement
in
IPE
were identified through
frequency counts by
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I l l
the software. Categories that
were identified through use
of
this feature included the
15
words
or
phrases
that
were
used
by respondents most commonly. Details are presented in
Table
12.
This first step of
text
data analysis only counted the
frequency
of
words not
the
number
of subjects who
used the words.
Table 12
15
Initial
Categories
of Positive Factors Influencing Engagement
in
IPE
Category
Number
of
times the word
or Percentage of times the
word
or
phrase occurred
phrase
occurred
Care
103
28%
Students
89
24%
Patient
77
21%
Learning
65
17%
Team
58
15%
Education
30
8%
Perspectives
28 7%
IPE
27
7%
Teaching
21
5%
Support
16
4%
Respect 16
4%
Engaging 12 3%
Interprofessional 11
3%
Medical 11 3%
Programs
10
2%
"Care",
"Students", "Patient", "Learning", and "Team"were the five categories
counted
most frequently as positive factors. Nine other categories
were
identified that
occurred
less
than
10% of
the time,
while
12
categories were mentioned less than
2% of
the time.
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Negative
Factors
Influencing
Engagement in IPE
Negative factors influencing engagement
in
DPE were also identified through the
same Survey Monkey™ text
analysis
feature. There were 28 initial categories that were
identified with 17 words or phrases being used by respondents most often. Details are
presented
in Table 13. This first step of
text
data
analysis
only
counted the frequency
of
words not the number
of
subjects who used the words.
Table
13
17
Initial
Categories of Negative Factors Influencing Engagement in IPE
Category Number of times
the
word or Percentage
of
times the word or
phrase
occurred phrase
occurred
Scheduling
67
18%
Professional
39
10%
Students
36
9%
Disciplines
29
1
Coordination 24
6%
IPE
22
5%
Faculty 21 5%
Health
Care
17 4%
Support
16 4%
Course 13
3%
Constraints 13
3%
Departments 12
3%
Curriculum 12 3%
Team Members 10
2%
Attitudes
10
2%
Limited 9
2%
Take
8
2%
"Scheduling", "Professional", "Students", "Disciplines", and "Coordination"
were
counted most frequently as negative factors. Twelve other categories were
identified
that
occurred
from
5%
to 2% of
the time.
An
additional
12
identified categories
were
cited
by
less
than 2% of
the participants.
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Category Reduction
Electronic content analysis was
used
to reduce the number
of
initial categories
(Burns
& Grove,
2009). Quotes were
placed
in excel spreadsheets and sorted according
to
the
Survey Monkey™ categories. The quotes
were then highlighted and re-highlighted
with
different colors in an effort to collapse the
many
categories into fewer
major
categories and describe those categories. A complete listing of HCF quotes about
positive and negative factors influencing their intent to engage in IPE
is
presented in
Appendices F and
G,
respectively.
The three major categories of Positive
Factors
emerged as Patient Care which was
mentioned by 196 subjects or 54%
of
the sample, Student Learning which was mentioned
by
157
subjects
or 43%
of
the sample, and Healthcare
Teams
which mentioned by
88
subjects or
24% of
the sample.
Quotes
that
support
the
Patient
Care
major category
include:
"my
experience has been that
the
potential exists for improved patient
outcomes", "morecomplete
care
of the patient",
"holistic
care of the patient", "improved
patient care
by
a team able
to
communicate", and
"as
healthcare
is
a team concept,
positive patient outcomes improve when the
team members work
together".
Quotes that
support
the
Student
Learning major
category
include:
"potential for
enhanced
student
learning", "opportunities for students to be exposed to information outside our
discipline",
"learn
from other health professionals", "motivate students to
better
understand other health professions", and "the opportunity to offer students
a
positive
learning
experience".
Quotes
that
support
the
Healthcare
Teams
major category include:
"early role modeling of
working
in healthcare teams", "practicing
teamwork and
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communication; learning
to respect what
each discipline brings to
patient care",
"understanding the benefit
of
learning as a team since healthcare professionals
work
as a
team to
care for patients", "I
have
played
several
roles in a healthcare
team through
my
past experience and understand the importance
of
knowing and utilizing
the
full
capabilities of all
team members for the benefit
of
the
patient",
and
"we
must
embrace
IPE and
the team approach".
The two
major categories of Negative Factors emerged
as
Scheduling and
Coordination which was mentioned by 230 subjects or 63%
of
the sample and Discipline
Culture
which
was mentioned by
103
subjects or
28%
of
the
sample. Quotes
that support
the Scheduling and Coordination major category include: "overcoming scheduling
difficulties",
"scheduling
challenges, resistance from other departments/professions",
"there is
often not a time to coordinate the team concept particularly in academic setting
where the colleges are on different schedules", "coordination can be difficult
if
all faculty
members are not engaged", "schedulingdifficulties
rying
to
get all
of the professions
together at
a
particular
time", "no time or incentive to
coordinate with
other healthcare
professions", and "difficulty
in
scheduling issues
with
various disciplines". Quotes that
support the Discipline Culture
major
category include:"turf wars", "discipline elitism",
"territorial disputes on common areas
of
practice", "the remaining attitudes of some
professionals that they
are the final
authority
in the healthcare inertia", "I guess the
main
factor
would
be the level of cooperation", "stronger focus
on
other professionals",
and
"people
being
territorial".
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HCF
Percentages
of
Positive and Negative Factors Reported
Electronic analysis was conducted to determine percentages
of
HCF who offered
text
responses
for
positive and negative factors influencing their
intent toengage
in
IPE
(Table 14). Responses were placed in excel spreadsheets and sorted according to the
seven
HCF categories. The responses were then
color-coded
for each HCF group and
percentages
of HCF
group responses were calculated. MDs had the lowest response rate
for both positive
factors
and negative factors
at
76.3%. OTs
had the highest
response
rate
for both positive factors
and
negative factors at 90%. Percentages
for
identified
positive
and negative factors ranged from 76.3% to
90%. NU
responded at
a rate
of 81.2% for
positive factors and
a
rate
of
79.1% for
negative
factors.
Table 14
Percentage of
Positive Factors and
Negative
Factors
Influencing
Intent to Engage in IPE
Reported
by
Each
HCF Group
Open-ended NU MD PH PT OT PA SW
Questions » = 1 9 1 )
w = 3 8 ) n 46) n
=
50)
(n
=
40) («
=
38) n = 36)
n
n n
n n
n
n
Positive
155 81.2
29
76.3
36
78.3 40 80
36
90 34 89.5 30 83.3
factors
Negative 151 79.1 29
76.3
37 80.4 41 82 36 90 34 89.5 31 86.1
factors
Chapter Summary
The findings of
this research
study
are
presented
in
this chapter.
Descriptive
statistics
of
the
five main
variables
for research
questions
one through three
including
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attitudes
toward
BPE, attitudes toward IPHCT, SN
faculty
colleagues, SN school's
administrators, and intent to engage in IPE were presented. Stepwise multiple regression
was computed to answer
research
question four. Attitudes Toward IPE was statistically
significant and the single best attitude predictor of intent to engage in IPE. MANOVA
was computed to answer research question five. There were no significant differences
among
HCF
groups regarding
attitudes
toward
BPE or
IPHCT.
Additional analysis revealed that the two
SN
variables were significantly related
to
intent
to engage
in IPE. Administrative faculty
reported
greater intent to
engage
in IPE
than teaching faculty, and HCF who were currently
or
had previously engaged in IPE
reported
greater intent to engage in or continue to engage in IPE,
and
had higher attitude
and
SN scores
than
faculty
without
IPE experience.
Multiple
regression analysis
revealed
that the combination of SN school's administrators and attitudes toward IPE
was
the
best
predictor
of
intent to engage in IPE.
HCF
text responses
to two
open-ended questions
concerning positive and
negative
factors influencing their intent to
engage
in IPE were analyzed. Three positive and
two
negative
major categories
were
identified and exemplars of HCF statements were
presented. Percentages of positive and negative factors identified by each of the seven
HCF
were
computed.
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Chapter V
Discussion,
Implications, Conclusions,
and Recommendations
A discussion of the
findings
about
the research
variables of attitudes toward
IPE,
attitudes toward
IPHCT,
subjective norms, intent to engage in IPE, demographic
variables, and instruments used in this study are
presented
in this chapter.
Methodological issues, generalizability of the findings, conclusions
of
the study, nursing
implications, and recommendations
for
future research are addressed.
Discussion of
Research
Findings
Research
Question
One, Two, and
Three
The first
three
research questions, "What are HCF attitudes
toward
IPE and
IPHCT?"
"What
are the subjective norms
that
influence HCFintent to engage in IPE?"
and, "What
are
HCF
intentions regarding engaging in
IPE
within
the
next three
years?"
were addressed through descriptive statistics.
Research Question One. Attitudes
toward IPE
are faculty feelings
and
beliefs
about
IPE and
were measured by total
scores on the Attitudes
Toward
IPE instrument
adapted
by
Curran
et
al. (2008).
Participants in
this
study
scored high on
their attitudes
toward
IPE,
indicating all seven
HCF
groups had positive attitudes toward IPE.
Attitudes toward IPHCT are faculty feelings and beliefs about
EPHCT.
Attitudes
toward IPHCT were measured
by
total scores on the Attitudes Toward
IPHCT
instrument
adapted by Curran et al. (2008). Participants in
all seven
HCF
groups had
positive
attitudes toward IPHCT; however, scores on attitudes toward IPHCT
were
less positive
than scores on attitudes
toward
IPE.
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According to O'Keefe (1990), attitudes are
a
significant predictor of behavioral
intent.
Based
on the theoretical
model
of
TRA, attitudes were proposed
to
influence
intentions to deliver IPE to healthcare professional students. Social work faculty
had
the
highest mean
of
the HCF groups for both attitudes toward IPE and attitudes
toward
IPHCT. Social
workers are typically required
to cooperate and
collaborate
with other
health professionals as
part of a
healthcare team (IOM, 2010). As social workers seek to
promote
positive
change for
patients through the
acquiring of
services and resources,
they
often interact with many other
types
of
professionals. Medicine faculty
had
the lowest
mean
on
attitudes
toward
IPE. Traditionally, physicians have been the dominant
members
of
healthcare teams.
This
is
true
in
many
countries, including the U.S. where
nurses have been seen as subordinates (Dimitriadou et al., 2008). Perhaps,
this is
due
to
the "captain of the ship" role
physicians
have
traditionally
held where
they
have
been
ultimately responsible for patients' outcomes and seen as being
"at
the
helm"
(Tabby,
2009).
Physical
therapy
faculty had the lowest mean on attitudes toward IPHCT.
Physical
therapists have generally worked
as part of
interprofessional
teams,
especially
rehabilitative
teams.
There is no
published
literature to
support
an explanation for
why
they would
exhibit
the lowest IPHCT mean
scores of the
seven types
of HCF.
Nursing
faculty had a
mean of 62.17
on attitudes toward IPE and
a mean
score
of 56.05
on
attitudes toward IPHCT. Both
means
were moderate
and balanced
between
high and
low
mean scores. Nurses have not always had optimal relationships with other healthcare
providers (Miller et al., 2008). Collaborative cultures are a vision of the IOM report
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(2010) and
interprofessional
care
of
patients
is a
high
priority in
healthcare (Collins,
2005). Perhaps
the
literature
and
the
most
recent IOM
report
have begun to influence
nursing attitudes with regard to IPE.
To date, there
have only been two
articles
published
on
faculty attitudes
toward
IPE
and IPHCT. The
articles
by
Curran
et al. (2005,2007)
were described in Chapter II.
The 2005
study revealed overall positive
attitudes toward IPE
and
EP
teamwork.
The
2007 study did not report the means for each group
that participated.
Therefore, the
results of
this
study cannot be directly compared to
the
Curran
et
al., 2007 study with
regard
to
total mean scores.
This
study elicited
faculty
attitudes toward IPE and IPHCT
for
U.S. based
healthcare faculty
in
seven disciplines. The positive attitudes reported may be due to
sincerely
positive attitudes about
DPE and
the
benefits
brought
by
engaging in it.
Understanding attitudes
toward
IPE and IPHCT
is
the first step in advancement
of
IPE
in
academic
institutions in
the
U.S.
Negative
attitudes toward IPE and
IPHCT
present
barriers to IPE's effective
implementation
(Curran et al., 2007). U.S. HCF attitudes,
according
to
this
study's
findings, did not present
a
barrier to IPE implementation and
faculty
intent
to
engage in
IPE.
HCF
experience with
IPE
for
the
entire sample
varied
between 0
and
5 years.
Experience with IPHCT, however, did not vary greatly among the groups. Most HCF
(56.5%) stated they had more than five years experience with IPHCT. Therefore, most of
the HCF had several years of experience to draw from to form their opinions about
IPE
and IPHCT.
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Another plausible explanation for
the
positive attitudes reported
by
subjects in
this study may
be
that the highly positive attitude scores could be, in part, due to a non-
response
error (Dillman et al.,
2009).
A non-response error occurs when subjects
selected by
the
researcher for a survey sample do not complete the survey because
they
may not
be interested in the topic.
The
non-responders' survey answers may have been
different
from those who
did respond.
HCF
who were
not interested in IPE,
or who held
negative
attitudes
toward EPE and IPHCT,
may
have ignored or deleted the survey and so
this study may be missing what could have been negative responses.
The anecdotal literature
proposes that there
are benefits of IPE;
however,
empirical support for such claims is lacking. There is no
published literature currently
available that cites negative
aspects
of EPE. Perhaps faculty awareness of the perceived
benefits
of IPE reported in the literature contributed to the positive attitudes
found
in this
study. Findings
in
this study were consistent
with
those
of
Curran
et
al. (2005), who
found that overall attitudes toward IPE and
IP
teamwork were positive and there were no
differences among the healthcare academic administrator groups regarding attitudes.
Research Question Two. Subjective
norms (SN)
are the
influences that motivate
healthcare
faculty to engage in
interprofessional
education. Subjective
norms are
the
perceived social pressures to perform
a
behavior (Ajzen & Madden, 1986) and
were
identified in
Questions
17 and 18 on the Demographic Data Form. The exploration
of
SNs was
originally
proposed
to
include
two
open ended questions
to
identify
subjects'
perceptions
of SN. Through further development and refinement
of
the
research
proposal,
a decision was
made
to measure SN quantitatively. Therefore, two
7-point
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magnitude rating scale items
were added
to
measure
subjects' perceptions of
what they
believed their faculty colleagues (SN faculty colleagues) and their
school's
administrators
(SN
school's
administrators) thought they should
do
about engaging in
IPE.
Subjective norms were
HCF
self reports regarding
how
strongly faculty believed
their
faculty
colleagues and
school's
administrators think faculty should engage in IPE.
HCF
believed that their faculty colleagues and school'sadministrators think
they
should
engage in
IPE;
therefore, they perceived social pressure to engage in IPE. Believing that
faculty colleagues and school's administrators
want
HCF toengage in
IPE
is considered
social pressure
or
subjective
norms
within TRA.
Motivation
to
perform
a
behavior,
in
TRA, is related
to a
person's perception of what someone
of
influence wants them to do
(Fishbein & Ajzen,
1975).
Social and
situational surroundings
within TRA
are
considered the external influences that contribute
to
pressure to perform
a
behavior
(Fishbein & Ajzen).
Currently, IPE literature is expanding and
IPE is
the topic of
discussion and
debate
at
national and international conferences. HCF
are
becoming more exposed to
IPE through these and other methods
which
may affect
HCF
perceptions regarding
existing social pressures to
engage in IPE.
Research Question Three.
Intent
to engage in IPE is HCF'sdetermination to act
on and become involved in IPE.
Intent
to engage
in IPE
or continue to engage in IPE
within the next three years was measured on a 10-point Likert scale. On average, HCF
indicated
they are
very
likely
to
engage
in
or
continue to
engage
in IPE within the next
three years.
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The results of research question three are consistent with the results of research
questions one and two and the framework
of
TRA. HCF
demonstrated
positive attitudes
toward IPE, positive attitudes toward
BPHCT,
and
believed
that their faculty colleagues
and
school's
administrators think they should
engage
in IPE. Within
the TRA model,
the
combination of attitudes and subjective
norms
predict
behavioral
intentions. In this case,
together they predict the intention to
engage in IPE or
continue
to engage in IPE.
Currently, there is no
published
literature
that
explores faculty intent
to
engage in
IPE. Perhaps
HCF
indicated
they
were very likely
to
engage in
EPE
due
to the
benefits
the
literature proposes
such
as in
the
synthesis
of the
literature
by
Olenick et
al.
(2010a).
Perhaps the
fact
that
HCF
indicated
they are very
likely to
engage
in IPE may
be
attributed
to the fact that accrediting
bodies
such
as the NLNAC,
CCNE, LCME,
CAPTE, CSWE, ARC-PA, ACOTE, and ACPE
are
now including statements
in their
standards concerning IPE and interprofessional collaboration. HCF
may
be better aware
of the
importance
of and the
urgency
to
participate and
substantiate IPE in order to
meet
current
accreditation
standards
and
to
adequately
prepare students for practice in
emerging healthcare environments.
The
2010 IOM report describes
its vision of
future healthcare systems
with
nursing playing a fundamental role. Based on
the
findings of this study, the nurse faculty
group, while still positive, are the least likely to engage in
IPE
within the next three years
compared to the other
HCF
disciplines.
This
does not put nursing in position to take the
lead and
transform
healthcare
education
as the IOM
recommends.
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IPE is an undertaking that
requires
curricular integration, scheduling, time, and
effort that is beyond the control
of
any one HCF member. HCF volitional control or
control over their own behaviors with regard to
DPE
implementation may be difficult, if
not
impossible, to achieve.
Perhaps the
question
asking
HCF if
they
intended to
implement IPE
within
three years
would
have been
better written
as an open ended
question inquiring
how
long it
would take
to engage in IPE. Perhaps a three year time
frame was not seen as reasonable by HCF. Engaging in IPE
is
not
an individual decision,
it requires system wide changes and support.
Within
TRA, attitudes are
proposed
to be a good
predictor
of intent to behave.
Given that HCF groups demonstrated positive attitudes towards IPE, the question "why
aren't more HCF currently engaging
in
IPE?"
remains unanswered.
Within TRA,
behavior
is
not as well explained
as
intent
to
behave.
This
is
due to
the recognition
that
situational factors may limit behavioral actions even
when
a strong positive attitude and
desire to behave-is present. The additional analyses section in Chapter IV presented
negative factors that posed barriers to
HCF
engagement in IPE. The negative factors
identified serve as potential barriers to IPE engagement even
with
the most positive
of
attitudes.
Research
Question Four. In answering the question, "What are relationships
among HCF attitudes toward IPE, attitudes toward IPHCT, and intent
to engage
in
IPE?"
a stepwise
multiple regression analysis was computed.
Faculty intentions to engage
in
IPE were proposed to be
a
result of the combined influence of attitudes toward IPE and
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attitudes toward
IPHCT. Attitudes
toward EPE were found to be the single best attitude
predictor
of
intent to engage
in
IPE.
TRA research
has shown that
attitude
is
a very
strong
predictor of behavior
(O'Keefe, 1990). However, the correlations in this study, although statistically
significant, were weak. This researcher offers several plausible explanations
for
the
current finding. It is
possible that,
despite
positive attitudes
toward
IPE and IPHCT,
the
negative
factors HCF identified served as strong barriers that adversely influenced their
intent
to engage or
continue
to engage
in
IPE.
Perhaps the colleges and universities
where
HCF were
employed were
not requiring,or
even
encouraging,
IPE.
It
is also
possible that
TRA,
while a
well
respected and confirmed
theory
in many instances,
does
not work as
well in
the context
of
IPE.
Nursing faculty in this study responded sooner and in higher numbers than any of
the other HCF. Nurses were
very
quick to participate
yet they had
the least IPE
experience
and
the
lowest scores
on intent
to
engage
in IPE
within the next three
years.
The
IOM report
(2010),
which calls
for
interprofessional collaboration,
has
attracted the
attention of
the
nursing
profession.
The
IOM's vision of future healthcare depends on
nursing to incorporate
IPE
early and continuously in the curriculum (IOM).
The fact
that
nursing faculty scored lower on intent to engage in
DPE
within the next three years may
be due,
in part,
to the time it takes to make curricular
changes in traditional nursing
programs and the time they anticipate needed
to find
and
form
partnerships with other
healthcare
disciplines.
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Research
Question
Five. To answer the question,
"What
are thedifferences
in
attitudes toward IPE and IPHCT among healthcare faculty from various professional
healthcare
programs?" MANOVA was
computed. The
seven
HCF
groups did not
differ
significantly on attitudes
toward
IPE or IPHCT. On average,
they
all had positive
attitudes
toward
IPE
and
IPHCT.
Based
on the TRA framework,
positive
attitudes
contribute
to
HCF
intent to engage in IPE.
Contrary to Curran's et
al.
(2007) finding that medicine faculty
had
significantly
lower mean scores on attitudes toward
EPE
and IPHCT than nursing faculty, in this
research
study there
were
no significant differences
among
the
groups
of
seven HCF.
There are no other studies on faculty attitudes
toward
IPE and EPHCT in the
current
literature.
Over
the past few years, medicine has become
very
proactive with regard to IPE
implementation. This may
have
contributed
to
the MD group's
positive attitudes toward
IPE and
demonstrated difference from the Curran etal.
(2007)
finding.
Currently,
according to this study's results, MD faculty
are
implementing IPE at the highest rate
while
nursing
is implementing it
at the
lowest rate. Barker,
Bosio,
and Oandasan
(2005)
suggested that regulation
of
medical
education and support for IPE from the medicine
accrediting bodies
may
facilitate a positive shift
in perception
of
IPE
in MD faculty.
Accrediting bodies for most
of
the
HCF
groups in this study require
interprofessional teamwork and collaboration
as
part of their guidelines. Accreditation
requirements,
in addition
to the
positive
benefits of
IPE described in the literature, may
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explain
why
all HCF groups in
this
study
demonstrated positive attitudes toward IPE and
IPHCT.
Discussion of
Research Question Findings
Plausible
reasons
why HCF
indicated
strong positive attitudes
toward
DPE and
IPHCT, strong
subjective norms,
and strong
intent
to engage or continue to engage
in
IPE
over
the next three years may be due in part to social desirability and acquiescence
(Dillman et al., 2009).
Social
desirability happens when subjects answer
questions
based
on what they know the researcher is hoping to hear. Acquiescence happens when
subjects
tend
to
agree
with others.
Acquiescence
is a
function
of subjective
norms. HCF,
in response
to the
influence from SN faculty
colleagues
and
SN
school's administrators,
may
perceive
and report that they should engage in IPE because they feel they should be
in agreement with their
peers and
organizational leaders. Social
desirability
and
acquiescence should
be
considered
when
explaining
why
subjects
reported
strong
positive
attitudes
toward
IPE
and IPHCT, beliefs that
their
faculty colleagues
and
school's administrators think
they should
engage
in
IPE, and strong
intent
to engage or
continue to engage in
IPE
over the next three years, yet are
not actually
implementing
IPE in
their curricula.
Additional
Analyses
Significant Findings
In
TRA,
the combination of attitudes and subjective norms lead to behavioral
intentions (Fishbein & Ajzen, 1975). In this study, the combination of scores on attitudes
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towards IPE and IPHCT
and scores on
SN faculty colleagues
and SNschool's
administrators
were
explored
as predictors
of
scores on intent
to
engage in IPE.
Scores
on the
two SN
variables,
"My faculty colleagues
think I
should/should
not
engage in
IPE" and "My school's administrators think I
should/should
not
engage in
IPE"
were significantly
related
to
scores
on intent
to
engage
in
IPE. A multiple regression
analysis was computed for
the
two attitude variables
and the
two
SN
variables on
intent
to engage in IPE scores. The analysis revealed
that SN
school's
administrators
was the
single best
predictor
and
the combination
of
SN school's
administrators plus
attitudes
toward
IPE was
the best
multiple
regression
predictor
of
intent to
engage in IPE.
While
research
based
on TRA (O'Keefe,
1990)
has
shown attitude
is a
stronger
and more
accurate predictor of behavior
than
subjective norms, the data from the current
research
refutes
O'Keefe's conclusion. In
this
study, SNs
were
stronger
and
better
predictors
of
intention
than
attitudes. While
this
outcome is inconsistent
with
O'Keefe's
findings, it
is
consistent with
and
supportive
of
TRA since it was
the
combination
of
attitude
and
SN
that was the best predictor of intent. The revised application of the TRA model based on
statistical findings
in this
study
is
presented in Figure 6. All correlations presented
were
statistically
significant. The linear
combination
of the best predictors is
emphasized
in
bold print.
These findings are
consistent
with the
meta-analysis
by
Wallace
et
al. (2005)
which
found that social
pressures or
subjective norms
moderated the
relationship
between
attitudes and behavior.
When behaviors were
desirable
and politically correct,
people
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Intent to
Engage
in
IPE
SN School s
Administrators
0* =
,52)
SN Faculty
Colleagues
Attitude Toward
IPHCF
r=.23)
Attitude
Toward IPE
(r
=
.31)
Figure
6
Revised application of the TRA
model
based on study
findings
tended
to
perform
the behaviors. Attitudes
predicted
behaviors better
when
there
were
weak
social
pressures
surrounding
the
situation.
Independent /-tests computed to compare teaching faculty and administrative
faculty
on intent to engage in
IPE
scores
revealed
a
statistically
significant
difference.
Administrative
faculty
reported
that
they
were more
likely
to intend to engage
in
EPE
than
teaching
faculty. This may be
due, in part,
to
administrators
being more
involved
in
accreditation processes and having greater awareness of the EPE requirements
of
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accrediting bodies.
It is also possible that administrative faculty are
more acutely
aware
of
IOM recommendations since they
are
more likely
to
be responsible for carrying them
out. There have been no studies reported in the literature about this finding; therefore,
explanations at
this
time are only speculative.
Independent r-tests were computed for HCF who were currently engaged in IPE
versus those who were not
and those HCFwho
were
previously engage
in
EPE and those
who were not for
all
research variables. There
were
statistically significant differences
for all
variables.
HCF who were currently
engaged
in
IPE or previously
engaged in IPE
had
more positive attitudes toward IPE and IPHCT,
were
more likely to
engage
or
continue to engage
in IPE, and had beliefs
that
their faculty colleagues and school's
administrators believe
they should engage in BPE.
These
findings are consistent with
Curran et al. (2007) who found that faculty with prior IPE experience had better attitudes
toward
DPE and IPHCT. This is also consistent
with
TRA which proposes that attitudes
and
subjective
norms
predict behavioral intention. Positive attitudes
and motivation
to
engage
in EPE
lead
to increased
IPE
engagement and continuation
of
engagement in IPE.
Perhaps familiarity
and
a
real world sense of IPE's
benefits
contributed to the
likelihood
for
engaging in
or
continuing
to engage
in
IPE. HCF
faculty quotes support their
perception that IPE has both patient
and
student benefits.
Non-Significant Findings
Pearson's
correlations were computed for age, years experience as
a
health
professional,
and years experience as
a
health professional educator for the research
variables
attitudes toward IPE,
attitudes
toward IPHCT,
SN
faculty colleagues,
SN
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school's
administrators, and intent
to
engage
in IPE. None
of
the Pearson correlations
were
statistically significant. Age,
years
experience
as
a
healthcare
professional,
and
years
experience as
a
health
professional
educator are
not related
to any
of the research
variables. The findings
of
this
study are consistent
with Curran
et al.
(2007)
findings that
indicated age, years of
practice experience,
and years of
experience
as
an
educator
were
not
significantly
related to
attitudes
toward EPE.
Curran
et al. did not
study
all of the
research variables included in this current
research.
Curran
et
al.
focused on
attitudes
toward IPE and IPHCT but did not include
SNs or
intent to engage in IPE
as
part
of
their
research.
Findings
regarding HCF
age
and
experience suggest
that HCF
should not meet
generational resistance
in
implementation
of
IPE since all
ages
of faculty were supportive
of IPE. This is a
positive
interpretation and should facilitate IPE implementation.
Independent
r-tests
were computed
to
compare
teaching
faculty and
administrative faculty on
attitudes toward
IPE, attitudes
toward
IPHCT, intent
to engage
in IPE, SN colleagues, and
SN
administrators.
There were no
statistically
significant
differences found
for
any
of
these variables. Independent
r-tests
were also computed
to
compare groups on demographic variables for
all
research
variables. There
were
no
statistically significant differences among gender
type, employment
status, current
faculty position,
and
highest level
of
education
on
the
research variables.
The
finding
based
on
gender
is
not
consistent with
Curran
et
al.
(2007),
who found
that
female faculty
had
significantly
better attitudes toward IPE and IPHCT than male faculty.
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ANOVA were computed
for
faculty
rank and
tenure status
for all research
variables. There were no statistically significant differences among any
of
the faculty
rank or tenure groups on the research variables. Since
faculty
rank and tenure did not
influence attitudes, SNs, or intent to engage in EPE, future research on IPE should include
all HCF.
Discussion ofPositive and Negative Factors that Influence HCF Engagement in
IPE
Within the
model
of TRA,
positive and negative factors influencing
engagement
in IPE may be considered as internal and external
influences
on attitudes. A review
of
the literature revealed only one article by Barker et al. (2005) regarding factors that affect
IPE implementation.
Positive
factors.
Factors in this
category
were organized
into
three major
categories. Subject responses most often
identified improved
patient care,
student
benefits, and healthcare teams as the most common factors
that
influenced their intent to
engage in IPE.
Category One: Patientcare. When
the
words patient
and
care occurred
in
the
quotes,
they most
frequently occurred together and
most
commonly referred to improved
patient
care
or
optimal patient
care. According to the responses, subjects in this study
believed that IPE contributes to better, patient centered, quality healthcare for patients,
which
supports
a
proposition
that
was made
by D'Amour
and Oandasan
(2005).
Improved patient
care
is
central to the
vision
and
goals of
healthcare, healthcare
professionals, and healthcare organizations.
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Positive factors
associated
with
IPE
are supported in
the literature. Available
literature identifies
improved patient
outcomes as a result
of
IPE
and
or
interprofessional
teams.
Morey
et
al. (2002) described a
significant
reduction in the amount of clinical
errors as a
result
of
an
interprofessional teamwork program. The non- empirical literature
also cites improved patient
outcomes
as a benefit of IPE; however,
there
is a
large
gap in
the
empirical literature
to support this claim.
Despite
the lack of
scientific evidence that
patients
benefit from IPE, it was clear from the quotes in this study that HCF continue
to
believe this
is
true.
Category Two:
Student learning. When
the
words student and
learning
occurred
in the quotes, they most frequently occurred in the contextof student
benefits,
learning
opportunities,
learning
other
perspectives,
and learning
experiences.
According to the
responses, subjects
in this study
believed that IPE contributes to
overall
enhanced student
learning. Optimal student
learning
is central to
the vision and goals
of
HCF
and
educational institutions. "The interface between the learner and the educator is an
essential element
of IPE" (D'Amour
& Oandasan, 2005,
p.
12). Socializing students into
IPE will affect their
performance in
healthcare teams
(D'Amour
& Oandasan).
Category Three: Healthcare
teams. When the words healthcare and team
occurred in the quotes, they most frequently occurred in the context of integrated
healthcare teams,
working
in
teams, and
preparation
for actual practice as
healthcare
providers since providers
function
in
teams. According
to the
responses, subjects in
this
study believed
that IPE
contributes to
embracing a team approach
to healthcare for
the
betterment
of patient
outcomes.
There
is
an interdependency
between EPE and
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collaborative
practice
in
the
form
of
healthcare
teams (D'Amour &
Oandasan, 2005).
"IPE requires collaborative
practice
settings where learners can
be exposed
to educational
experiences" (D'Amour &
Oandasan,
p. 12).
Negative
factors.
Factors
in this category were
organized
into two major
categories. Subject
responses
most often
identified
scheduling and coordination, and
discipline culture as the
most common
factors that prevent
them from engaging
in
IPE.
Category One: Scheduling and coordination. According
to
the
responses,
the
coordination of
schedules
with other healthcare professional programs and
students can
be a
daunting
task
especially when territorial, turf, and
non-optimal
cooperation
between
disciplines exists. According to the responses, subjects in this study believed that the
time,
work,
effort,
challenges, difficulties,
and
logistics
in
combination
with the
levels of
cooperation between professionals
in differing
disciplines
is the number
one
reason
why
IPE is not implemented effectively.
Negative factors
identified in this study
are consistent with
reports in
the literature
where logistics, including timetabling, geography, and physical space
were
identified
as
factors that presented barriers
to
IPE implementation. Curran et al.
(2005)
identified
scheduling
as
a
perceived major
barrier to IPE implementation.
Awareness of
factors that
inhibit EPE
will allow
for
generation of
solutions to
known problems or issues.
Scheduling and coordination are
logistical
challenges, however, not
impossible
for
school's
administrators
and general HCF to
overcome
if they wish
to engage
in
IPE.
Category Two: Discipline culture.
According
to the responses, territorial
issues,
and attitudes between and toward other disciplines were the main factors that prevented
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HCF
from effectively engaging in IPE. Subjects in this study cited territorial disputes,
the lack
of
cooperation
between disciplines, and
discipline elitism as factors impeding
IPE.
Issues such as
ultimate
accountability for patient care,
reimbursement
for
patient
care services, compensation for
IPE
efforts, and territorial concerns perpetuate
miscommunications, disagreements, and disrespect between healthcare providers.
The
natural
overlap
of healthcare providers
should be nurtured
and supported
in
education and
in the healthcare industry if there is
ever
to be
a shift
in discipline culture.
Negative factors identified in this study
are
consistent with those reported in the
literature
where
professional cultural beliefs were identified as factors
that
presented
barriers to IPE implementation that prevent
healthcare
professional
groups from
cooperating and collaborating
(Barker et al.,
2005). Curran
et al.
(2005)
also identified
curriculum turf concerns, and perceived value of IPE as barriers to IPE implementation.
Positive and
Negative
Factors
Discussion
Traditionally, healthcare disciplines were taught within their own silos where they
were grouped
within
their own ontologic perspectives, where
they related
within
a
hierarchy,
and were
subdivided
according
to
similarities and differences among them.
Based
on TRA, IPE
is an
entirely new
way
of considering education cooperatively among
the
various HCF disciplines.
The
positive and negative factors
revealed
in this study are
consistent
with the available
literature and
may
affect attitudes and subjective norms as
internal and
external factors.
They include HCF perceptions about skills, abilities,
information, and emotions and perceptions about situational and environmental factors
that contribute to
the way
HCF act or
react
in relation to IPE.
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Nurses
and
physicians reported the lowest
percentages
of negative factors
about
IPE.
Occupational therapists
and physician
assistants
reported
the highest
percentages of
negative factors about IPE.
U.S.
HCF
identified
negative factors
that
have
or
would have
prevented them
from
engaging in
IPE.
Attitudes
toward IPE
and
EPHCT
were
not
factors
identified
as
preventing faculty from engaging
in
IPE.
HCF in this study
reported
positive
attitudes toward IPE and
IPHCT. Negative
factors impact the implementation of IPE. The identification of these negative factors
that impede IPE
in
the U.S. is
the
first step
in overcoming them.
However, shifts in
beliefs regarding
territory
and
turf
concerns may take time and energy and displays of
improved
cooperativeefforts between and
among disciplines
before these
types
of
negative
factors start to dissolve. The
Barker
et al.
(2005) article
offered an
analogy
stating
that
changing curriculum in the healthcare disciplines is similar to trying to move
a
graveyard, in
that
it
is
not
the
physical
movement
of
the
graveyard that
is
the issue,
rather
it
is the attitudes and perceptions
of
the move
held by
friends
of the
dead.
Professional cultural
beliefs
protect disciplinary territory,
protect
disciplinary bodies
of
knowledge, are difficult to
change within
entrenched programs, and require sensitization
because professionals within entrenched programs
hold
specific
beliefs
about who they
are
and have great difficulty accepting
that
anything about them
should be changed
or
different (Barker
et al.).
Methodological
Issues
One possible explanation for the low response rate
of
8.6% is
that
the emails were
sent out in bulk through Survey Monkey™ .
Some
emails may
have
been screened out as
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spam or
quarantined
for a
time
before they were released
into
HCF
email inboxes.
This
was noted
because
this researcher, after
the
survey was
closed and
no
invitations
were
being sent out any longer,
received
emails from
potential participants
saying they
just
received the email with
the
link
and
note
that the survey is
now closed. In the future, as
a
recommendation, emails should be
sent out
individually to avoid identification
as
potential spam and quarantine. Spam filterscan prevent many potential subjects from
receiving a survey (Dillman et al.,
2009).
Another
possible
explanation for the low response rate
may
have been the non-
response error (Dillman et al., 2009) mentioned
earlier
in this
chapter. Perhaps only
HCF
interested in EPE
responded
to
this
survey.
If that
were true, then that
would mean
over
90%
of
potential subjects who received emails are not at
all
interested in
DPE.
A
recommendation for future research would be an opt out
from
the survey
where
potential
subjects state
that
they do not
wish
to
fill
out
the
survey because
it
is not
of
interest to
them.
Another recommendation
for
future
research would
be the use
of
incentives.
Incentives
reduce non-response bias because
they pull
in
those
who would not have
otherwise
answered (Dillman et al.).
In addition, Dillman et al.
(2009)
recommend the stop, return,
and go
back
features in
surveys even
if
only
a
few subjects use it.
The
option
to
stop,
return, or
go
back was not available
in
this
research
study.
In light
of the low response
rate, perhaps
subjects
were interrupted when completing the survey and had to stop. The survey would
not allow pausing
or
re-entering the survey even
if
internet connection was
lost
or
interrupted; therefore, potential subjects
may
have
been lost in this way
also.
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Generalizability
of the Findings
Generalizability
of
this
study's
findings is
limited
to
a
sample
of
the seven
healthcare
professional
groups, who were primarily female, doctorally
prepared
and
between the ages of 46 and 54.
Generalizability
is also
limited to
primarily
full time,
non-tenured,
assistant and
associate professors with an average
of
20 to 31 years of health
professional experience and
11 to
17
years of
experience
as
a
health professional
educator.
Conclusions of the
Study
The researcher drew the following
conclusions based
on
the findings
of
this
study:
1) HCF have positive attitudes
toward
EPE.
2)
HCF
have positive attitudes toward IPHCT.
3) HCF
have
less
positive attitudes toward
BPHCT
than they do about IPE.
4)
HCF believe their faculty colleagues
(SN
faculty colleagues) and
school's
administrators (SN
school's
administrators)
think they should engage
in
IPE.
5)
Most
HCF report that they are
very likely
to engage in IPE
or
continue to engage
in IPE within the
next
three years.
6)
Attitudes
toward
IPE are the best attitude
predictor
of
intent
to engage in IPE.
7) Subjective norms for school's
administrators
are the best SN
predictor of
intent to
engage
in
IPE.
8) The combination
of
SN school's administrators and attitudes toward IPE predict
intent
to engage
in IPE
better than
any
one variable
alone.
9)
There are
no differences in
attitudes
toward IPE or
IPHCT among HCF.
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10)There
are
no
differences in SN faculty colleagues, SN school'sadministrators
among HCF.
11)
Administrative faculty
are
more likely
to engage
or
continue
to engage in
IPE than
teaching faculty.
12) HCFwho are currently engaged in
IPE
or
have previously been engaged in IPE
have better attitudes toward IPE, attitudes toward
IPHCT,
and are more likely
to
engage in or
continue to engage in IPE.
13)HCF who are currently engaged in IPE
or
have previously been engaged in IPE
report that faculty colleagues and school's administrators believe they should
engage in IPE.
14) Age, years experience as
a
healthcare professional, and years experience as
a
health
professional
educator are not related to attitudes
toward IPE, attitudes
toward IPHCT, SN facultycolleagues,
SN school's
administrators, or intent to
engage in
IPE
or continuing to engage in IPE.
15)
Groups
on
faculty rank and tenure, gender, employment status, current faculty
position, and
level of
education
do
not differ on attitudes toward IPE, attitudes
toward
BPHCT,
SN faculty colleagues,
SN school's
administrators,
or intent to
engage
in
IPE
or
continuing to
engage in
IPE.
16) Most HCF identify enhanced patient
care
and improved patient outcomes as
positive factors relating
to
IPE
that
influence
them
to engage in
IPE.
17) Most
HCF
identify scheduling
issues
as
a
negative factor
preventing them from
engaging in IPE.
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18)
The
use of TRA in this study was very relevant and appropriate.
Nursing
Implications
IPE intentions and effective engagement in
IPE
are influenced by attitudes toward
IPE, attitudes toward
BPHCT,
and subjective norms.
This
study
is
the first and only study
to explore faculty attitudes toward
IPE
and DPHCT in
the U.S.
and has
a
nationwide
sample from
seven
HCFdisciplines with analysis of data from 439 respondents. A large
gap
in
the literature still exists
concerning
IPE
in American health professions education.
Contribution to
Nursing Education
In this study, IPE generated categories
of
positive collegial relationships, giving
students
a
broader perspective, positive socialization, improvement in communication
among healthcare professionals, sharing of knowledge
within
and between disciplines,
and improving understanding
of
differing discipline contributions to patient care.
Participants reported beliefs that IPE isengaging and
beneficial
for students, improves
student outcomes and experiences, and that
IPE is
consistent
with
actual practice
expectations.
In relation
to
IPE implementation in nursing, IPE requires the co-operation of
several healthcare disciplines. Schools may benefit from doing gap analyses and/or
needs assessments
to
determine the inventory
of
resources they have and the
resources
they need to acquire. They
may
also wish to consider the negative factors that were
identified
in the
additional analysis findings
in
this study
in an
effort to try to
overcome
existing barriers to IPE implementation. Barriers such
as
scheduling and
coordination
may be overcome by identifying physical space, cooperating when creating course
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semester schedules,
and identifying
opportunities
when
various
healthcare
discipline
students are available
in the community
or clinical situations to bring
them together.
Specific efforts to nurture an interprofessional culture
may
include efforts to avoid
miscommunications,
disagreements,
and disrespect
among
healthcare
providers.
In
IPE,
students
from different
disciplines
learn from one
another,
have a more
holistic
view of patients, improve
their own role
development,attain a
better
understanding and appreciation of the roles
of
other
healthcare providers, attain access
to
multiple perspectives
and shared
resources,
develop student
leadership, demonstrate
value
of other
professionals in
healthcare.
The
many positive outcomes associated with IPE are posited to be positive
student
attitudes toward other
healthcare disciplines,
increased
confidence,
better valuing
of other professionals, less negative stereotyping, improved socialization and
relinquishment
of
professional prejudices.
This is especially
important in nursing
since
IPE
may
counteract the negative
nursing stereotypical images, decenter
the healthcare
environment allowing
nursing
to overcome the long time social, political, and economic
forces that
led to the
inequities
and
hierarchies
that
have,
for so
long,
overshadowed
nursing's contributions
to
healthcare
(Olenick
et
al.,
2010a).
IPE
has become necessary for meeting
accreditation
standards in healthcare
professional education.
Positive
factors generated by
IPE,
as
identified
by subjects in
this
study, included
IPE's
importance for gaining
university
and curricular support for
the
purpose of more relevant and effective use of resources in healthcare.
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In
a
recent
non-empiric article,
Salfi,
Solomon, Allen, Mohaupt, and Patterson
(2012) proposed a framework for
integrating
IPE competencies into
nursing
curriculum.
"Nurses are an integral part of the health care team, so it is critical that their education
prepare them for
interprofessional
collaborative practice" (p. 106). The framework
describes the four following focus levels: 1. Know about own
role
as nurse and
know
about groups and
group
dynamics; 2. Know
how
by knowing
own role
as nurse and
knowing
when
and how to involve other
healthcare
professionals
in patient
care;
3.
Show
how by demonstrating collaboration with other health professionals; and 4. Do by
consistently demonstrating
collaboration and
contributing
to the overall healthcare
team.
IPE
is
challenging todeliver since differences in professional cultures, beliefs,
and
prior healthcare
experiences
exist
(Barnsteiner, Disch,
Hall, Mayer,
& Moore, 2007).
Barnsteiner et al. state "Developing a
culture
for
IPE
requires
faculty from multiple
disciplines who value IPE and are
willing
to
work
together to co-create a
shared
vision,
common goals,
and
a
curriculum" (p. 147). The
authors describe
IPE
strategies
they
identified
in a
review
of the
literature
such as
creating interprofessional common clinical
experiences,
facilitating
teamwork
and
joint problem solving, matching
faculty interest
and expertise,
and promoting
the
value
of shared learning.
Criteria to
promote
full
engagement in
DPE
include:
creating
an explicit IPE philosophy that is observable,
measurable,
and permeates the educational organization;
requiring faculty from
differing
disciplines to
collaborate
oncreation
of
learning experiences; creating
integrated and
experiential learning opportunities for collaboration, teamwork,
and
safe
patient
care;
embedding IPE into curriculum and student caseloads; creating and utilizing
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interprofessional
competencies such as
those promoted
by
the
IOM; and creating an
organization
infrastructure
that
fosters
IPE.
Flynn, Michalska, Ham, and Gupta (2012)
suggested
that IPE experience in
healthcare education
should occur at an early stage and with
multiple
exposures.
Their
study sample included family
medicine,
occupational
therapy,
clinical psychology,
nursing
theology,
and behavioral psychology
students (N
= 123)
from
bachelor's master's
and
residency
programs
in Canada.
Subjects attended a one day
interprofessional
cognitive behavioral therapy workshop
and
answered
a
14-item questionnaire to evaluate
the
interprofessional
experience. The family
medicine
group scores were
significantly
lower on appreciating learning
with
peers
of
other disciplines (p
<
.001) and appreciating
the
roles
of other
groups members (p
=
.01).
The family
medicine group
also scored
significantly
lower
(p
.002) on
their evaluation of
the
interprofessional
learning
experience. Findings indicated
that
initiating IPE
at later
stages in curricula, such
as in
residency, compared
to bachelor's and master's
level, may limit healthcare professionals'
abilities to learn with, from, and about one another. At
later
stages in education,
identities have developed and are more difficult to change.
The findings of this study are important because they provide nurses and nurse
educators with an awareness of other HCF attitudes toward IPE and IPHCT and the
perceived
positive
and negative factors that facilitate
or
inhibit engagement
in BPE.
Knowledge
of
these
attitudes and factors can
help
guide
nurses
and
nurse
educators in
stressing the
positive
value
of IPE and
overcoming
the
negative
barriers to
effective IPE
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implementation
by
HCF.
Nursing
faculty
will
be able to develop and implement
strategies
that
encourage IPE implementation.
The
NLN
(2012) has
begun an
Interprofessional
Education
webinar series
consisting of three topics: an overview of IPE, interprofessional obstetrics and pediatric
simulation learning, and interprofessional exemplars from pharmacy.
The
NLN
webinars
are based on
a
teamwork system to promote patient safety. The first of
the
webinar series
slides are available and directed toward nurse educators in an effort to
clarify
understanding
of
IPE.
Contribution
to
Nursing Research and
Science
IPE research is
a
way
to discover, explain,
and
gather information
about
IPE
and
HCF attitudes that affect its delivery. Determining faculty attitudes toward IPE and
IPHCT, and identifying subjective norms that influence behavioral intent may
be
the first
step in understanding behavioral intentions for effective IPEdelivery.
In this study, research was
a
category that
was
generated under the positive
factors that contribute to engaging in IPE. Participants stated that engaging in research
with other healthcare professionals
was
essential and leads
to
improved solutions and
outcomes for patients.
Identification of the negative factors that prevent HCF from engaging in
IPE
are
essential since addressing those factors may facilitate the
possibility
to reduce negative
factors or barriers. In this study,
HCF
identified
that increased
workload and the lack
of
administrative
support contribute
to the negative factors that
prevent
them
from
engaging
in
IPE.
Other
factors
that
have negatively
affected faculty and
prevented
them from
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engaging in IPE include lack
of
availability or opportunity
of
interacting with other
health professions.
Perhaps
varied
healthcare
disciplines
do not exist at
their
particular
school
or perhaps
other disciplines
do not show interest in
collaborating to initiate
IPE.
Lack of communication,
issues
with the
way
curriculum
is set up
including finding space
within
current curriculum, clinical demands,
barriers and resistance
when dealing with
various health professionals secondary to historical
or
stereotypical perceptions, attitudes
toward other
disciplines,
lack of funding
or
monetary support for IPE,
and no incentive
or
reward for engaging
in IPE were
also factors. Logistics,
planning,
time, and
scheduling
were very commonly identified as barriers to engaging in IPE. Politics and resistance of
change
were
other factors
identified
by the participants in this study
as negative
factors
that
prevented them
from engaging
in IPE.
Lack of ability or knowledge about
IPE
was also identified as a factor that affects
engagement in IPE. Most faculty have not
previously
been subject to orhave
not
taught
in an interprofessional education
type
educational system since
traditionally
healthcare
professionals were taught in
their
own professional silo from their
own ontological
viewpoint.
IPE
is
very different
from
the
traditional method of learning
ontologic
elements from an instructor
and
being
socialized
exclusively into one defining role.
Carper (1978) described ways of knowing in nursing as empiric, aesthetic,
personal, and moral
knowing.
This
study
was
significant
to nursing
science because
it
generated empiric and
aesthetic
knowledge about IPE and
DPE's
social
and collaborative
nature.
Empirically, this study
of
nurse faculty
attitudes toward IPE and
IPHCT,
perceptions
of IPE subjective norms, and intentions to engage in
IPE was
the first study
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on nurse faculty in the U.S. Aesthetically, this study explored the expressive components
of
IPE
which included
attitudes, perceptions, and intentions.
In
IPE,
shared
values,
shared
decisions, and
a sense
of respectfulness between disciplines is
essential.
Contribution to
Nursing Practice
This
study found
that many HCF
believed
that
IPE has
the potential to influence
patient safety, quality of care,
and
health systems improvement. HCF
indicated
that IPE
enhances patient centered care, enhances patient care
in
general, contributes
to
improved
continuity of care, contributes to healthcare cost savings and the future
of
team
based
healthcare, and enhances patient outcomes.
HCF
indicated
that
EPE prepares healthcare
professional students for practice. HCF identified personal and
professional
experiences
are consistent with the concept
that IPE
improves patient
outcomes and improves patient
safety.
These
findings are also consistent with the literature
(Ladden
et al., 2006; Reeves
et al., 2009).
Baerg
and Lake
(2012) found common themes related to
the
skills and knowledge
required
for
interprofessional collaboration. They
stated
that
providing
interprofessional
collaboration
education
and training to improve
communication
skills
and
interpersonal
relationships,
address practice
issues such as knowledgeof other
disciplines
and their
roles in practice, develop leadership
skills that
include
problem
solving and negotiation,
develop
professionalism, improve and maintain interprofessional goals,
and
garnish
appropriate
resources
will contribute to the development
of
interprofessional
collaborative practice.
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The
2010 IOM report called for and specifically
cited
the need for
interprofessional collaboration. The report described a
vision
of
the
future
of healthcare
in the
U.S.
with interprofessional collaboration
as
the
norm. The role of
nurses in this
vision
is very
specific.
The
IOM recommended that nurses design and implement early
and continuous IPE
through
collaborative
classroom
and clinical opportunities
and
recognizes that IPE can only be
achieved through
committed collaborative partnerships
across professions.
The importance
of
collaborative cultures
in
this IOM vision will be
vital in sustaining
and
continuing improvements
in
quality
of care.
In
an
editorial about
the
IOM report, Gennaro (2012) pointed out
that many U.S.
nursing
organizations and
nurse residency programs are
now
promoting interprofessional collaboration.
Nurses have had longstanding issues and non-optimal working relationships with
physicians and
other
healthcare providers which has led
to a
lack
of
appreciation
of
nursing's contribution to
optimal patient
care (Miller
et
al.,
2008). Participants
in
this
study identified mutual
respect and
understanding,
teamwork
and collaborative
practice,
and breaking down barriers
between
and among healthcare disciplines as positive factors
that encouraged
them to
engage
in IPE.
With IPE,
the
status of the
healthcare
environment
can become
a shared,
collaboratively focused entity where nurses become members
of
highly integrated teams
and add value
to the optimal care of the patient. IPE may decrease fragmentation in
healthcare delivery,
and relinquish
hierarchies, misperceptions,
and
miscommunications.
IPE contributes
to
a
holistic
approach
where
all
healthcare providers recognize one
another's contributions.
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Recommendations
for
Future Research
As
a
result
of
this
study,
the following recommendations for future
research are
suggested:
1.
Replicate this study based on TRA model measuring
HCF
actual engagement in
IPE.
2. Explore
IPE
and IPHCT in
relation to
actual
patient
outcomes.
If patient
safety,
quality
of
care,
and enhanced patient outcomes
can be
linked
to
IPE this
would
begin to build
a
base
of empirical literature to support its
incorporation
into
healthcare professional curriculum.
3. Explore
HCF
perceptions
of SNs
concerning accreditation requirements.
4. Identify strategies that
are
most effective
in
eliminating barriers
and negative
factors related to IPE.
5. Identify strategies
to
effective IPE implementation.
6.
Investigate
faculty attitudes in
countries outside
the
U.S.
where socialized
medicine and healthcare exist and where IPE seems
to
flourish.
7.
Identify
healthcare professional
attitudes (those
who
are employed in healthcare
and
not
teaching)
toward
IPE
and
IPHCT and determine
if
they differ
from
faculty
attitudes
since
full
time
faculty may not
be
actively practicing.
Chapter Summary
Discussion of
the
findings, methodological issues, generalizability of the findings,
conclusions of the study,
nursing
implications, and recommendations
for
future
research
were
presented
in
this chapter.
Research
variables of attitudes toward IPE,
attitudes
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toward EPHCT,
subjective norms
regarding faculty
colleagues, subjective norms
regarding
school's
administrators,
and
intent
to engage
in
IPE
were
explored
and
discussed.
The
findings of this study contributed to the body of knowledge
for
the nursing
profession
about IPE. Nurses responded favorably
regarding
their attitudes toward IPE
and IPHCT. IPE is promising for the profession of nursing since it has the potential to
influence patient
quality
of
care and lead to better working
relationships
with other
healthcare providers.
Recommendations
from this
study provide an
opportunity for
further scholarly
research
related to IPE.
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Appendix A
Letter of Explanation
Dear Potential Research Participant,
Purpose: You are
being
asked to
take part
in a study because you are
faculty in
a
healthcare discipline
program.
The aims of this study are to explore healthcare faculty
(HCF)
attitudes
toward interprofessional education (IPE) and interprofessional healthcare
teams
(IPHCT), to
explore
HCF
perceptions of subjective
norms'
influence on
HCF
intent to
engage
in IPE,
to explore HCF
intent
to engage
in
IPE,
and
to explore
differences among types of HCF
in
attitudes
toward
IPE
and
DPHCT and
intent to engage
in IPE.
Procedures:
It
will
take
you
approximately 20 minutes to complete
a
total survey
including demographic questions
and
questions
about
your
attitudes toward IPE
and
IPHCT. Your informed consent
is
implied
when you enter the
Survey Monkey™ website
and submit
your
completed survey.
Risks and
Benefits:
There are no
anticipated
risks associated
with participation in this
study.
You
are free to exit the survey
at
any time for
any
reason. There are no
anticipated
direct benefits
to you for your participation in
this
study. However,
participation in the study may encourage some faculty to actively consider IPE if
they
have not
considered
it
previously.
Data from this study will advanced nursing's and
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other
health
professions'
knowledge
of
faculty attitudes toward
IPE
and IPHCT.
This
information may assist
in
the advancement
of
interprofessional education
within
health
professions.
Costs: There
is
no cost to participate in this study.
Compensation. Incentives and/or Payment to Participant:
You will
not
receive any
compensation, payment
or
incentives for participating in this study.
Confidentiality:
All
documents
and information pertaining to this research study will be
kept confidential in accordance
with all
applicable federal,
state,
and local laws and
regulations. Data generated by the study
may
be reviewed by Widener University's
Institutional Review Board, which
is
the committee responsible
for
ensuring research
participant welfare and rights,
to assure proper
conduct of
the
study and compliance
with
university
regulations.
Any presentations
or
publications resulting
from
this research
will
not identify
participants
by name. SPSS
raw
data
files
will be accessible to the
membersof
the
researcher's dissertation
committee.
Your anonymity and confidentiality
will
be
preserved
since
your name will not be
attached
to the online submitted surveys.
Alternatives and Rieht to Withdraw: The alternative is
not to participate in the
study.
Participation in this study is voluntary.
You
have the right to withdraw, skip
any
questions
or exit
the survey at any time without penalty. However, once
you
submit the
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survey online, you are then unable to withdraw from the study. Your completionand
submission of the survey constitutes
your
consent to be
a participant
in the
study. Please
print a copyof this letter for your records.
Thank you for your participation. It is
greatly appreciated.
If you have
any
questions,
please feel free
to
contact me
at
the telephone number or email listed below.
If you
have
questions
about
your rights as a research
participant,
you
should
contact the
Chairperson
of
the
Widener
IRB
at (610) 499-4110.
Participants
may also email
this
researcher
and
request study results.
Sincerely,
Maria Olenick MS, CRNP, PhD (candidate)
Widener
University
chool
of
Nursing
(305) 919-4420 or email at [email protected]
Widener
University's
IRB
has
approved the solicitation of participants for the study
until
.
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Appendix
B
Demographic
Data
As
part
of
the above
project,
this
survey
will assess
faculty
attitudes towards
interprofessional education, interprofessional health care
teams
and interprofessional
learning in academic settings. Your responses are anonymous. Thank you for your
participation.
Definition
of Terms:
Interprofessional health care teams (IPHCT)consist
of
health professionals from
two or more different
disciplines
or professions who share a common purpose
and
work
together collaboratively and
interdependently
to serve a specific
patient/client population and achieve the team s and organization s goals and
objectives.
Interprofessional
education (IPE)
is an interactive experiential learning and
socialization
process. IPE occurs when two or more members
of
a
healthcare
team
(who participate in either patient assessment and/or management) learn
with, from,
and about each other as they collaboratively
focus on
patient centered
care.
In IPE, knowledge and value
sharing
occurs within
and across
disciplines.
1. Are you:
•
emale
•
male
2. What
is
your age? years
3.
Your highest
level of
education completed?
•
Bachelor's
degree
•Master's degree
•Doctoral degree
4. How
many years experience
do you have as a
health professional? years
5.
In
which health professional program(s) area do
you primarily
teach and/or
supervise students?
•
Nursing
•Medicine
•
Pharmacy
•Physical Therapy
•
Occupational Therapy
•
Physician Assistant
•
ocial Work
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6.
At What
level
do you primarily teach? (check
all that
apply)
•Bachelor
•
Master
•Doctoral
7.
What
is your
employment
status?
(check all
that apply)
•
Part-time
•
Full-time
•
ermanent
•emporary
8. How
many years experience
do
you have as a health professional educator?
years
9.
What
is
your current faculty position?
•
eaching
Faculty
•
Administrative Faculty
10. What
is
the nature
of your
academic appointment?
•
Full
Professor
•
Associate Professor
•
Assistant Professor
•
Clinical faculty/Instructor/Lecturer
•
Other
11.
What is
the nature
of your academic
appointment
with
regard
to tenure?
•Tenured
•
Tenure
track
•Non-tenure track
12. How
likely
are
you
to
engage
in
or to
continue
to engage in
IPE
within
the
next
3
years
using the rating
scale from 1
(not
at
all likely
to engage in
EPE
within the
next 3 years) to
10
(very
likely to engage
in IPE within
the next 3 years)?
scale
rating
13. Are
you
currently implementing IPE
as
defined above?
• es
•o
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14. Have
you
previously implemented IPE
as
defined above?
•
es
•
o
15. How
much
experience
do you
have
with
interprofessional education?
•
None
•ess than 1
year
• - 2
e a r s
• - 4
e a r s
• years or more
16. How
much experience do you have with
interprofessional healthcare
teams?
•
None
•
ess
than
1
year
•
- 2
e a r s
•
- 4
e a r s
•
years or
more
For items #17 and #18 please place
a
mark :_Xj on the scale
to
indicate the strength and
direction
of
your response. A mark
closer
to
either
end indicates
a
stronger response
towards that
statement.
If
your response
is neutral_you
should place
your mark
in the
middle
space.
17. Mv faculty colleagues think
I should
: : : : : : : :
I should not engage in IPE
18. My school's administrators
think
I should : : : : : : : : I should
not
engage in IPE
19. What are the POSITIVE
factors that have influenced/would influence
you to
engage
in interprofessional
education?
20. What are the NEGATIVE factors that have prevented/would prevent you from
engaging in interprofessional
education
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Appendix
C
Attitudes Toward IPE
Please read
the
statements
below
and indicate
your agreement with each of
the
statements, by checking the space
following
each
statement.
Use
the
scale:
SD = strongly disagree
D
= disagree
N neutral
A
=
agree
SA = strongly agree
STATEMENT:
SD
D
N
A
SA
1.
Interprofessional
learning
will help students think
positively about other
health
care professionals.
2. Interprofessional learning before qualification
will
help
health professional students
to
become
better
team-workers.
3.
Patients
would
ultimately benefit if health
care
students worked
together to solve patient
problems.
4.
Students in my professional group would benefit
from working onsmall group projects with other
health
care students.
5.
Communication skills should
be
learned
with
integrated classes of health care students.
6.
Interprofessional learning
will
help to
clarify
the
nature
of
patient problems for
students.
7.
It is
not necessary for undergraduate health
care
students to learn together.
8.
Learning with
students in other health
professional schools helps undergraduates to
become
more
effective
members
of a
health
care
team.
9.
Interprofessional learning among health
care
students will
increase their ability to understand
clinical problems.
10.
Interprofessional learning will help students to
understand
their own professional
limitations.
11.
For small-group learning to work, students
need
to
trust
and respect
each
other.
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176
STATEMENT:
SD D N A SA
12. Interprofessional learning among health
professional students
will
help them to
communicate
better
with patients
and
other
professionals.
13.
Team-working skills are essential for
all
health
care students to learn.
14. Learning between health care students before
qualification would improve working
relationships after qualification.
•
Adapted from: Parsell, G., & Bligh, J. (1999). The development
of
a questionnaire to
assess the
readiness
of
health
care students for
interprofessional
learning
(RIPLS).
Medical Education,
33,
95-100.
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177
Appendix D
Attitudes Toward Interprofessional Health Care Teams
Please read
the
statements below and indicate your agreement with
each
of the
statements, by checking
the
space
following
each statement.
Use the scale:
SD
=
strongly
disagree
D
= disagree
N
= neutral
A
= agree
SA
=
strongly agree
STATEMENT:
SD D
N
A
SA
1.
Patients/clients
receiving interprofessional
care are more
likely than others to be treated as whole persons.
2. Developing an interprofessional
patient/client
care plan is
excessively time consuming.
3. The give and take among team
members helps
them make
better
patient/client
care decisions.
4.
The
interprofessional approach
makes
the
delivery
of care
more efficient.
5. Developing a patient/client care plan with other team
members
avoids
errors
in
delivering care.
6.
Working in
an
interprofessional manner unnecessarily
complicates things most of the time.
7. Working in an
interprofessional environment keeps
most
health professionals enthusiastic and interested in their
jobs.
8. The
interprofessional approach improves the quality
of
care to
patients/clients.
9. In
most instances,
the
time
required
for interprofessional
consultations could be better spent in other ways.
10. Health professionals working as teams are more
responsive
than
others
to
the emotional and financial
needs
of
patients/clients.
11.
The
interprofessional approach permits
health
professionals to meet the needs of
family
caregivers as
well
as
patients.
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STATEMENT:
SD
D
N
A
SA
12. Having
to
report
observations to a
team helps
team
members better understand the work of other health
professionals.
13.
Hospital patients who receive interprofessional team care
are better
prepared for
discharge than other patients.
14. Team meetings foster communication among team
members
from different
professions
or
disciplines.
Adapted from: Heinemann,
G. D.,
Schmitt,
M.
H., & Farrell, M. P. (2002). Attitudes
toward
health
care
teams. In G.
D
Heinemann
and
A.
M. Zeiss (Eds.).
Team
performance
in health care: Assessment
and
development,
(pp. 155-159). New York, NY: Kluwer
Academic/ Plenum.
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179
Appendix E
Institutional Review
Board
Approval
Widener University
Officeof the Provost
emorandum
To:
Maria
Olenick
Date:
From:
Dr.
Barbara Patterson
Chairperson,
Widener University Institutional Review Board
January 3,2012
RE:
Protection of RightsofHainan Subjects
Review
This letter serves
to
informyou
that
your research,
(70-12) Attitudes of Healthcare
Faculty
Toward
Interprofessional
Education
and
InterprofessionalTeams hasbeen reviewed and
approved
bydie Widener University
Institutional
Review
Booed (IRB)
for the
protection ofrights
of humansubjects. You may begin data collection asproposed in your application.
The authorization tosolicit
participants
for thisstudy is ineffect
for
one year from
the date
of
approvalcontained in this
letter
and iseligible
at
that time
for renewal.
The WidenerUniversity
IRB
must receive continuing reviewrequests
no
later than 14days prior to
the
meeting date before
the expirationof
approval
tobeplacedonthe IRBagenda. This form can be found on the
IRB
website
www.widener.edu/lib. Should you
fail to
obtain approval
of die
study prior to die
expiration
date, all
research
activity
must cease
until an approval
to extend
the
study
is
obtained.
If, for any reason, the approved research data
collection
method
changes,
regardless of how
minor,
except toeliminate
apparent immediate
hazards
to
subjects,
you
nrequited
tonotify
the
IRB, in
writing.
Please,
remember
that
the IRB
and
Widener University
accept
no
responsibility for
liabilities
associated
with this study. Ultimately, responsibility rests with the investigators).
Upon
completion of the study,
a
final written report of the research is to be submitted to the IRB.
This form can beobtainedondie IRB website. Themembersof the IRBextend
their
best wishes
for your successful
completion
of
this research
project. If you
have any
questions, please email
irtxgimail.vvidener.edu orcall
610-499-4110.
BarbaraPatterson,
RN,
PhD
CC:
Dr.
L.
Allen
WidenerUniversity,One
Univmity
Place, Chester,
PA 19013-5792
1610-499-4110 f:
610-499-4108
www.widener.edu
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Appendix F
Examples of Positive
IPE
Quotes of Initial 26 Categories
Discipline Quote
NU "ipE teams are learning to collaborate and make less errors in patient
care.
Students are also learning
about
roles and capabilities
of
students from other
disciplines."
NU "Broader
perspective
and better outcomes."
NU
"Students would
learn the importance
of
collaboration with other disciplines;
also recognize what
those
disciplines
do
hat their role
is
in the
care
of
patients as well as the other disciplines understand
what
nursing does."
NU "It's how
health
care
world
operates. I am
an NP and have been part
of
health
care
teams in that role, and even in the hospital, we worked together,
even if it wasn't overtly described as that."
NU "Growth,
positive attitudes and mutual understanding, benefits to
patients."
MD "Accelerated learning, better
team-based care,
better
development
of care
teams
of
this decade.
More
enthusiasm
in
the clinical learning enfironment,
better integrated learning across professions (horizontal spread
of
curricular
content."
MD
"Perceived improved patient outcomes."
MD
"I
have always collaborated with other disciplines to care for
my
patients.
Doesn't everyone?"
MD "More completecare of the patient."
MD
"Interdisciplinary
teamwork is
essential in
my field
eriatric
Medicine."
PH
"It is
important that all health professioansl learn
to
work together and
see
each others points of view
so
that patients benefits and
egos
do not get in the
way.
There
is too much waste in education and health care due
to turf
battles."
PH "Ultimately,
better patient
care.
Learning from other disciplines. Mimics
actual practice. Helps remove myths/misperceptions
about
other
professions."
PH
"Development of teamwork and
respect
between the
different
students."
PH
"Necesssary to teach students to work
together
as a team. Shows
them
each
their
role
and how they work collaboratively."
PH "The chance to
be part
of a team
positively affecting patient
care."
PT
PT
"Patient outcomes."
"Broadens the
scope
of students expertise
in treating
patients."
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PT "The opportunity to offer students a positive learning experience. The opportunity
to offer improved health care services to clients and patients."
PT "Student
learning
outcomes. Ultimately
patient
care outcomes."
PT "The
real
world
requires health
care
professionals
to
work
in teams
herefore
we
owe it to our
students
to give
them
some preparation
relative
to this."
OT "My
experience has
been
that the
potential exists
for improved patient outcomes
at
lower cost and with better cohesiveness
for
those served. All team members gain
skills in
clinical procedures/activities and
in
leadership/organization. These
factors
compel me to keep this model
on
my radar
as
I
engage in
program development."
OT "Getting
to
know coworkers
better; higher quality
patient care;
more appropriate
use of other professions expertise."
OT "Greater understanding of our
role
in the team and
to
pass this understanding along
to
our students."
OT
"Exposing
students to the real world "
OT "I can learn from
others'
expertise and perspectives. IPE enhances
quality
of care."
PA :The students find the experiences more engaging. They get more realistic learning
than
traditional classes."
PA
"Benefit
to students."
PA
"I feel
this
would
ultimately benefit
the
patient with better
care. Care
teams would
be
more knowledgeable about other professionals
on
the
team."
PA
"Mutual
benefit. Interprofessional respect."
PA "Critical to
my
profession. Better outcomes. Good modeling
of
IP teams for
students."
S
W
"Social
workers engage with other professionals
in their
jobs and must be able
to
interact effectively with other
healthcare
professionals.
Therefore,
students
need
to
learn how
to
work across
disciplines."
SW "Opportunity to coordinate
various perspectives, increased effectiveness in
teaching by
broadening
information
beyond my own
expertise, role
modeling
interdisciplinary
efforts/collaboration,
and
teaching
comprehensive
care for future
practitioners."
SW "Superior student training."
SW "Preparing students to be productive members
of
healthcare teams."
SW "There is a
need
to
share information across
disciplines."
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Appendix
G
Examples ofNegative IPE Quotes of Initial 26 Categories
Discipline Quote
NU "Time,
focus, logistics."
NU
"Time
is needed to include added curriculum in
courses."
NU "University departments are not completely integrated."
NU "Resistance to change
(not
personally, but generally) and time constraints for
making changes."
NU "Difficulty
in
scheduling issues with various disciplines. Changing the long
standing
belief
that all students
need
to get through IPE instead
of
focusing
on the
purpose
of IPE."
MD "Lack of cooperation among other professions."
MD
"Expensive."
MD "Lack of school
support, particularly
financially/administratively and lack of
buy-in by
some
departments."
MD
'Territory conflicts between different disciplines (eg
ENT
vs OMFS,
Orthopaedics vs Podiatry)."
MD "Lack
of functional care models
for
truly integrated patient centered care."
PH "We are the only health professionals on campus, so
it
is difficult to engage
in IPE."
PH "Work
load."
PH "Currently at
non-teaching
hospital. Separate
nursing,
pharmacy,
medical
schools. No
history
of IPE. Time commitment
to
setting up, maintaining,
assessing IPE."
PH
"Time
constraints, any bureaucratic issues involved in setting up
such
a
program."
PH "Scheduling. Resources."
PT
"Faculty
feel
that it
will take
a
lot
of
work and scheduling is difficult due to
different curriculum schedules. To me these are barriers
not
negative
factors."
PT "Time.
Accessibility."
PT "Administrative
complexity. Increase work
load."
PT "Time. Challenging
coordinating
different
programs for availability
at same
times."
PT "Extra
time/effort needed to work with faculty from other departments to
plan
experiences. Difficulty scheduling
experiences
involving
students
from
more than
one
program."
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OT "Scheduling."
OT "Politics, competition, steal ideas."
OT "Scheduling.
People being territorial. More interest on my part than on the
part
of
the other
person in another discipline."
OT "Lack of
time. Difficulty
coordinating schedules."
OT
"Lack
of time.
Lack
of
programs to alter schedules to include IPE
opportunities.
Lack
of support by some faculty."
PA
"Logistics."
PA
"At times, egos can
get
in the
way
of effective teams."
PA "Time
and
effort
(both
surmountable)."
PA
"Bad
attitudes
of
team
members."