a nationwide qi project towards mdg 4
TRANSCRIPT
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Title: A nationwide quality improvement project to accelerate Ghanas
progress towards Millennium Development Goal Four: design and
implementation of innovation and scale-up
Authors: Nana A. Y. Twum-Danso,1 George B. Akanlu,2 Enoch Osafo,2 Sodzi Sodzi-
Tettey,1 Richard O. Boadu,2 George A. Adjei,2 J. Koku Awoonor-Williams,3 Alexis
Nang-Beifubah,3 Akwasi Twumasi,3,3 C. Joseph McCannon,1 Pierre M. Barker1,4
1 Institute for Healthcare Improvement
20 University Road, 7th Floor
Cambridge, MA 02138
USA
2 National Catholic Health Service
P. O. Box KA 9712
Airport, Accra
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University of North Carolina at Chapel Hill
Chapel Hill, NC 27516
USA
Corresponding Author:
Pierre M. Barker MD
Institute for Healthcare Improvement
20 University Road, 7th floor
Cambridge, MA 02138, USA
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The gap between evidence-based guidelines and practice of care is particularly
evident in low- and middle-income countries, as reflected by high maternal and child
mortality rates. We designed a phased, rapid, national scale-up quality improvement
(QI) intervention to accelerate the achievement of Millennium Development Goal Four
in Ghana.
Methods
We used QI approaches that emphasize systems thinking, motivation of frontline
providers, generating and testing of change ideas and learning from data at the local
level, transparent data reporting, and sustainability. Working within an adaptable
framework to address the underlying drivers of child survival, we redesigned
implementation strategies in an iterative manner based on the lessons learned.
Results
After 50 months of implementation, we have completed two prototype learning
phases, each of 18-month duration, and have begun regional spread phases that
cover all 38 districts of the three northernmost regions of Ghana, serving a population
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prototype phases for innovation and learning by frontline health staff, and scaling up
rapidly over time and space with support from their managers and senior leaders.
Keywords: quality improvement, health systems strengthening, large-scale
improvement, maternal newborn and child health, Millennium Development Goal
Four, low-resource setting
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Introduction
The gap between evidence-based guidelines and practice in health care is
particularly wide in low- and middle-income countries (LMICs), where maternal and
child mortality rates are high despite the availability of cost-effective interventions .
In 2010, only 19 of 68 countries were on track to achieve Millennium Development
Goal Four (two-thirds reduction in mortality in children less than five years old (Under-
5) from rates in 1990 by 2015) . Efforts to implement child survival programs in sub-
Saharan countries have not had the expected effect of reducing child mortality (7).
Even when pilot projects are well implemented, they are rarely designed with scale-
up as an explicit design strategy. Thus, many may scale up well in environments that
are similar to the test circumstances, but are challenged by limited ability to adapt to
local context. Likewise, unless designed carefully, scale-up may be challenged by the
need for additional resources and the lack of a mechanism to sustain the intervention.
Other scale-up design considerations include supervision, monitoring, evaluation, and
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Design
Quality Improvement Approach
The QI methods used in this project are based on well-described health system
improvement approaches . Starting with a hypothesis that we could improve the
drivers of preventable causes of death for children Under-5 (Figure 1), we
challenged the status quo through development of transparent data reporting
systems, generation and testing of local ideas for improvement, scale-up designs
that rely on rapidly spreading locally-tested successful innovations, use of existing
resources, and developing local capacity. This improvement approach emphasizes
systems thinking, motivation of frontline providers and their managers,
contextualization of implementation strategies, analysis and learning from data at
the local level, redesigning strategies in an iterative manner based on lessons
learned, reliability principles, local ownership, and sustainability .
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members of the ICN. The QI teams were multidisciplinary and varied in number from
four to 10. In health centres, the QI team was typically led by a midwife, while in
hospitals, it was typically a doctor.
At Learning Sessions, project facilitators taught QI methods and helped health staff
analyze their local health systems and processes, identify process failures or
implementation gaps and reasons for them, and develop and plan the testing of
specific changes that they believed were likely to lead to improvement, using the
Model for Improvement as their guiding framework. In between Learning Sessions,
project facilitators accompanied Change Agents - typically public health nurses,
disease control officers, and health information officers from the regional, district,
and diocesan health management teams - to regularly visit each QI team in their
facility. The facilitators and change agents coached teams to test their changes,
analyse their data to assess whether their changes were resulting in improvement,
and developing new changes to accelerate and sustain improvement. The successful
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integrate these visits with other district field supervisory activities. Additional
technical support was provided by telephone between site visits.
An explicit data quality improvement (DQI) component was also designed into the
project to improve the routine health information system (RHIS) of the GHS. The
health information officers in the hospitals and the district health offices formed a
separate ICN focused on DQI. They were trained and coached in general QI methods
as well as specific DQI strategies focused on the completeness, timeliness, and
accuracy of the data collected and reported in the RHIS.
Capacity Building in Quality Improvement
Capacity building in QI methods and facilitation skills was provided in a phased
manner. In Phase 1, the project staff received an introduction to QI. This was followed
by a 10-month in-depth longitudinal professional development course in QI,
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1. Increase in the number of project staff supporting the QI teams in Phase 2 by
only three-fold while scaling up the number of QI teams by more than 10-fold
as we relied more heavily on the Change Agents to implement and sustain the
QI intervention;
2. Joint facilitation of Learning Sessions and site visits between the project staff
and the Change Agents;
3. Convening of Learning Sessions by the regional, district, and diocesan health
leaders independently of the project staff;
4. Quarterly review meetings for the Change Agents, led by the regional health
leadership team, to review progress, successes, and challenges;
5. Funding and integration of Change Agents QI coaching site visits into routine
monitoring and supervision of their MNCH work;
6. Inclusion of QI presentations and discussions in the agenda of the already
established district and regional health twice-yearly performance review
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Phase 0 An eight-month assessment and planning phase, during which we
collected detailed baseline MNCH performance data and identified early
adopter sites for the prototype phase (Phase 1). A crucial period of will-
building, where the project was explained in detail to regional, district, and
diocesan health leaders, ensued.
Phase 1 Prototype phase including 25 health centres and two hospitals across
three rural districts and one Catholic diocese in the three northernmost regions
of Ghana, to test and develop a change package to improve MNCH care
processes for use in the scale-up phases.
Phase 2 Initial scale-up phase including all the health facilities (both public
and private sector) in the 38 districts of the north (population: five million), in
addition to the three districts in Phase 1.
Phase 3 To develop a change package to improve care for infants and
children admitted to hospital, and test the unique role of a faith-based health
system in a nationwide improvement initiative we enrolled all the Catholic
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Using Everett Rogerss model of the diffusion of innovations , we theorized that the
project staff would be the innovators, while the early adopters would be those
health staff in the prototyping phases (i.e., Phases 1 and 3a). The rest of the health
staff/facilities would represent the early majority and the late majority (i.e.,
Phases 2, 3b, 3c and 4). The small-scale prototype phases were designed to achieve
the objectives of demonstration, advocacy, and building more will for the next phase.
Evaluation
Independent evaluation of this project was undertaken by a third party, which worked
in a facilitative but independent manner from the project implementation team. Their
evaluation, which covers the changes in process performance and outcomes will be
reported elsewhere.
Data Collection
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2. Detailed description of the specific change ideas tested by each QI
team, including the dates testing began and ended, dates on which change
ideas were modified, and observations and insights gained from the testing.
These were documented by the project staff in notebooks during site visits and
transferred subsequently to an electronic database, termed a change
tracker.
3. Health process indicators reflecting the changes in the care processes for
pregnant women and the Under-5 in both outpatient and inpatient settings.
The majority of these were already being collected and reported to the RHIS,
although a few new indicators (e.g., interval between identification of a sick
child and initiation of definitive treatment) were developed. Most of the new
indicators were in the clinical registers, while a few had to be developed de
novo. QI teams also collected context-specific indicators based on the change
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4. Health outcome indicators focused primarily on mortality, not morbidity,
because the former were more likely to be present in the RHIS. Based on
specific change ideas being tested, several QI teams collected morbidity data
or case fatality data that were not required for the RHIS but were needed to
determine whether change ideas were leading to improvement. In addition, we
collected data from GHSs community-based surveillance volunteer data which
captures births, deaths, and notifiable diseases that occur at the community
level; these data are reported monthly by the volunteers to the health centres.
All the data reported into the RHIS are summarized at the sub-district, district, or
regional level and are de-identified as are the other data collected by the QI teams,
community volunteers, and project staff.
Data Analysis
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tracker were used to confirm the exact nature of the change, when it was initiated
or modified, and when it was terminated.
Ethics
No institutional review board approval was required for this work, as the
implementation and monitoring of the QI interventions to improve the MNCH
program were considered part of the established and ongoing MNCH program of the
GHS which is based on existing policies of the Ghanaian Ministry of Health. Program
evaluation used routinely collected de-identified aggregate data of process
performance and outcomes.
Results
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The first eight months of the project included a major focus on building will. We
established the partnership between IHI and NCHS, and strengthened the existing
partnership between NCHS and GHS at the corporate level. We introduced the project
design to stakeholders at all levels of the health system. We visited hospitals and
clinics and spoke to the health staff to ensure that we understood contextual factors
affecting the quality of health care, supervision and management at the facility,
district, and regional levels, and how the QI intervention could improve upon it.
After launching the project, we continued to build and maintain will through regular
feedback sessions with the frontline providers and their managers after each round of
coaching visits and Learning Sessions. We disseminated the results of the project at
GHSs performance review meetings at district, regional, and national levels, as well
as at national and international conferences. Four months before launching Phase 2,
the project held a dissemination meeting for the three northernmost regions, sharing
results to date and discussing readiness for scale-up. In Phase 3, the NCHSs annual
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and then tested and analyzed during the innovation phase of the project. By the end
of Phase 1, the 27 QI teams had tested 104 specific change ideas, while by the end of
Phase 3a, the nine hospital QI teams had tested 47 specific change ideas. These
change ideas spanned pregnancy identification and registration for antenatal care
(ANC) in the first trimester of pregnancy, receiving quality care during at least for four
ANC visits, accessing skilled delivery on time and receiving quality perinatal care and
postnatal care, early care-seeking for sick children and women in labor, triage,
adherence to protocols for the most common causes of childhood illnesses in their
local context, and DQI protocols.
We developed the description of drivers that we hypothesized would lead to better
outcomes in the Under-5 population. Throughout the project we sought to better
understand the contextual factors underlying preventable deaths in the Under-5s in
both the community and health facilities. We summarized these factors into a
construct known as a driver diagram, which we then populated with broad change
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subsequent Learning Sessions. To date, we have provided eight separate QI training
and coaching sessions for district Change Agents. The DQI initiative with the health
information officers in Phase 2 began five months after the launch of Phase 2. As of
December 2011, 26 out of 38 (68%) districts were actively working on improving the
accuracy, completeness, and timeliness of the data reported to them by the frontline
providers in the clinics and hospitals.
Phase 3a was launched in the nine worst-performing hospitals in the NCHS (see Table
1) in October 2009 and ended in April 2011 (18 months duration), with the
development of a second change package (Table 3) using the same approach as in
Phase 1. We promoted this change package to the remaining 20 NCHS hospitals in
the south in Learning Sessions grouped according to three Catholic provinces over the
course of six weeks starting in June 2011. We also promoted this change package
to all 36 hospitals in Phase 2 during Learning Sessions which began in June 2011. As
of December 2011, all 29 hospitals in this scaled-up phase of the NCHS, Phase 3b,
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Our approach, which emphasized creating of partnerships across the health sector,
engaging frontline providers and their managers and senior leaders, and
demonstrating and disseminating early results regularly to all stakeholders, served to
build will, secure buy-in for the current work, enhance preparation for subsequent
phases of the project, and engage in policy dialogues at all levels of the health
system. Our intervention drew heavily on change ideas generated by frontline
providers, taking account of local context and working within the boundaries of the
national MNCH program. Frontline staff and managers were empowered to test those
changes and learn from them, resulting in the assembly of locally proven adaptable
change packages that could be credibly spread to exponentially larger numbers of
frontline providers working in similar and different contexts during the scale-up
phases, using Everett Rogerss model for diffusion of innovations .
In addition to the project execution design, two QI methods evolution of adaptive
driver diagrams and development of change packages proved to be powerful tools
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The projects explicit aim for large-scale implementation was conceptualized right
from inception. We embedded a sustainability strategy into the design that included
ownership of the change process by regional, district, and diocesan leaders,
development and coaching of large numbers of local health system supervisors
(Change Agents). Through a rapid weaning strategy, we progressively decreased
reliance of Change Agents on project staff (e.g., increasing the hand-over of
independent site visits as the Change Agents became more skilled in QI and
facilitation).
Iterative learning and testing of the project design itself was a key part of executing
this project. In addition to the continuous internal assessment of results, which has
allowed for design flexibility and rapid improvement of performance, a formal
evaluation of the project is underway, undertaken by an external evaluator, using
quasi-experimental techniques .
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paper, as the project design continues to iterate and the full benefit of this design is
yet to be realized. Another limitation is the focus on the progress of implementation
of the project design without inclusion of health process and outcome data; as such,
we have yet to demonstrate that this QI intervention is on track to achieve its
intended aim of accelerating the achievement of MDG 4 in Ghana. A formal evaluation
is underway, and interim process and outcome results will be reported shortly.
Acknowledgements
We would like to express our gratitude to Patrick Ansu and Linda Azumah for data
collection and analysis and to Jane Roessner for copy-editing.
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References
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Figure 1. Conceptual framework of the underlying drivers of preventable deaths in children Under-5 in Ghana
Legend: NHI=National Health Insurance
25
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Table 1. Implementation progress of Phases 1, 2, 3a and 3b of the QI interventions
Phase(timing)
Health Facilities No. ofdistric
ts
Learning Sessions asof December 2011
Joint Site Visits as ofDecember 2011
No. ofhealth
posts/centres
No. ofhospitals Total
Total no.of
sessions
Mean no.
ofparticipants persession
Total no.of visits
Mean no.of visitsper QIteam
Phase 1(07/2008 to
12/2009) 25 2 27 3 10 85 394 14.6Phase 2
(09/2009 topresent) 540 36 576 38 35 54 1424 5.5
Phase 3a(10/2009 to04/2011) 0 9 9 4 35 77 8.6Phase 3b
(06/2011 topresent) 0 29 29 3 47 54 1.9
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Table 2. Summary of changes found to be effective in improving processes of care
for the antenatal, perinatal and postnatal periods after Phase 1
Care Pathway Successful Change Idea(s) Facility
Type*
ANTENATAL1. Regi
stration in
1st
Trimester
1A. Community stakeholder meetings with opinion leaders and other
influential groups about the importance of early and regular ANC
1B. Community stakeholder meetings followed by registration of
pregnant women by community volunteers on monthly basis
C
C
2. At
least 4
visits
before
delivery
2A. Increase number of days ANC is offered at static site AND re-
design clinic processes to reduce visit duration per client to < 1hr
2B. Offer ANC as outreach service as well as at static site AND re-
design clinic processes to reduce visit duration per client to < 1hr
C & H
C
PERINATAL3. Skill
ed
Delivery
&
Immediat
e
Postnatal
Care
3A. Video show in communities on the risks of labour & delivery
3B. Male advocacy group in communities to promote skilled delivery
3C. TBA engagement on risks of unskilled delivery and provide
incentives3D. Use ANC register to identify women at 36+ weeks gestation for
home visits to remind them & family members about skilled delivery &
confirm transport plan
3E. Provide domiciliary delivery if, upon notification by mobile phone,
labour too advanced, woman has no means of transport from
community or health staff cannot arrange transport from clinic or
hospital
3F. Create a welcoming, patient-friendly environment in health facility
for labouring women
3G. Create systems to ensure consistent and correct use of
C
C
C
C
C
C & H
C & H
C & H
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5C. If woman lives in distant community without CHO AND return
facility visit not possible AND health staff home visit not possible, train
IMCI volunteers to provide Day 6/7 care.
Legend: *C=Health centre, clinic or health post; H=hospital
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Table 3. Summary of changes found to be effective in improving processes of care in the hospital outpatient and
inpatient setting after Phase 3a
Driver Area of
Clinical/
CommunityCare Change Concept
Package # Description of Successful Change Ideas
Delay in
Seeking
Care
Care-
seeking
behaviour
Targeted health
education
1A Targeted health education on early care-seeking using interactive
platforms (e.g. radio)
1B Community engagement and education via durbar or place of worship
ReferralEngaging primary
providers1C Engagement with health providers (both traditional and allopathic) on need
for early referral and early warning signs
Prompt
Diagnosis
and
Treatment
Triage
2A
Triage system for screening and emergency treatment of critically ill
children
Separate Under-5 OPD services from adult OPD service
Prioritize Under-5 outpatient care
Prioritize Under-5 inpatient care
Delay in
Providing
CareFast Track
Non-
Adherence
to
Protocols
Adherenceto Protocols
Training/Coaching/
Mentoring
3A Training staff on protocols followed by regular coaching and mentoring
which include ad hoc testing on site with immediate feedback
3B Training postpartum women and other care givers on hygienic cord care
through demonstration, practice and immediate feedback
3C Mother-to-mother support group on food choices and frequency of feeding
while on admission under mentoring of nurses
Task-shifting 3D Empowering nurses to start acting on standard treatment protocols before
doctor arrives
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