presentation_thesis defense _thi ha vo. 16.12.2015
TRANSCRIPT
Assessment of the potential impact of pharmacist interventions: development and validation of the CLEO multidimensional tool
Thi Ha VOPharmacist, PhD Student
Director: Assoc.Prof. Pierrick BedouchCodirecteur: Prof. Benoit AllenetLaboratory TIMC-IMAG UMR CNRS 5525
PhD Defense - 16 December 2015
1. Introduction
2. Development of a new tool
2.1. Review of models and tools
2.2. Development of the CLEO tool
3. Validation of the CLEO tool
3.1. Test in a general practice
3.2. Test in a specific clinical service
4. Discussion & Perspectives
5. Conclusion
Plan
Drug-related problems (DRP) 2-27%2 of hospital admission
50%1 DRPs are preventable
Solution = team working with clinical pharmacists
Introduction – What’s clinical pharmacists’ roles Introduction – What’s role of clinical pharmacists?
1. McKenney JM et al. Drug-related hospital admission. Am J Hosp Pharm. 1976;33(8):792-52. Kohn LT et al. To Error is Human. 1999
Collect patient information
Identify DRPs
Suggest Pharmacist interventions (PIs)
Medication Review
Pharmacist intervention (PI): «any action by a clinical pharmacist that directly results in a change in patient management or therapy»1. (Dooley at al. BJCP 2004)
Introduction – What’s pharmacist interventions ?Introduction – What’s a pharmacist intervention?
Introduction – How to evaluate impacts of PIs ?
Impacts of the
PI
When ?Potential or
actual impacts
Where ?Hospital,
community pharmacy
How ?Models, tools,
process of evaluation… What ?
Clinical, economic,
humanistic…
For whom ?Patient,
physician, nurse, pharmacist,
hospital, society
Evaluation of impacts of PIs is essential for demonstrating the added value of pharmacists, continuing quality improvement, research and education…
Introduction – How to evaluate PIs?
Reponses to these questions are important to develop a new tool for assessing impacts of PIs
Overhage and Lakes, USA,1999
5 distinct tools found in 10 studies from a review of articles from 1966 to 1997
Overhage and Lakes. Practical, reliable, comprehensive method for characterizing pharmacists’ clinical activities. Am J Health-Syst Pharm. 1999; 56:2444-50
Introduction – Tools to evaluate PIs?
Conduct an updated systematic review of tools for assessing
potential impacts of PIs
Review models of evaluations and develop an optimal model for
evaluation of PIs
Objectives
Develop and validate a multidimensional tool for assessing potential impact of PIs
1. Introduction
2. Development of a new tool
2.1. Review of models and tools
2.2. Development of the CLEO tool
3. Validation of the CLEO tool
3.1. Test in a general practice
3.2. Test in a specific clinical service
4. Discussion & Perspectives
5. Conclusion
Plan
A systematic review
873 Abstracts scanned
Exclusion criteria:• Specific type of DRPs/PIs only• Actual impacts only• Economic impact only• Non-accessible and review
articles
82 tools in 133 studies: models & content, structure, validity
A systematic review – Method
Keywords: DRP* AND PI*Inclusion criteria :• Langue: English, French• Abstract available• Peer review journals• Pharmacists involved• Explicit description of tools
Databases- Pubmed (1986-2013)- PsycINFO (1999-2013)- PASCAL (1997-2013)- CINAHL (1993-2013)
Review of tools for assessing potential impacts of PIs
Hand searchs- References of (review) articles- Thesis of Quélennec
• Model of Donabedian
• Model of Kozma et al.
• Pharmacoeconomic model
• Risk assessment matrix
SP(ECH)O-P model
Models of evaluations
A systematic review – Results & Discussion
Indicators of content of tools
• Structure
• Process
• Outcome
- Clinical
- Humanistic
- Economic
• Probability
A. Models & content of tools
A systematic review – Results & Discussion
STRUCTURE
SettingsStaffs: trained pharmacistsEquipmentsInformation resourcesFinancal stability….NOT FOUND IN TOOLS
PROCESS
TechnicalConsistency to standardsInformational interventionAcceptance by HCPs…
InterpersonalSatisfaction of HCPsCollaboration between HCPsContinuation of care…
OUTCOME
Clinical Humanistic Economic…
1. Model of Donabedian 1966 Quality of a pharmacist intervention
Donabedian et al (1966). Evaluating the quality of medical care. Milbank Mem Fund Q.
A systematic review – Results & Discussion
STRUCTURE
SettingsStaffs: trained pharmacistsEquipmentsInformation resourcesFinancal stability
….
PROCESS
TechnicalN° DRPs/PIsConsistency to standardsAgreement between HCPsAcceptance
InterpersonalSatisfaction of HCPsCollaboration btw HCPs
OUTCOME
CLINICAL
• Severity of DRPs: harm, ADR…
• Significance of PIs: Health care resources avoided (emergency visit, hospitalization…)
ECONOMIC
• Direct costs: cost of implementation of the PI cost saving, cost avoidance
• Indirect costs: missing working
• Intangible costs: pain, suffering…
HUMANISTIC
• Patient’s satisfaction• Knowledge• Medication compliance• Quality of life…
2. Model of Kozma et al. 1993 Outcomes of a pharmacist intervention
Kozma et al (1993). Economic, clinical, and humanistic outcomes: a planning model for pharmacoeconomic research. Clin Ther.
STRUCTURE
SettingsStaffs: trained pharmacistsEquipmentsInformation resourcesFinancal stability
….
PROCESS
TechnicalN° DRPs/PIsConsistency to standardsAgreement between HCPsAcceptance
InterpersonalSatisfaction of HCPsCollaboration between HCPs
CLINICAL
• Severity of DRPs: harm, ADR, therapeutic failure
• Significance of PIs: Health care resources avoided (eg., emergency visit, hospitalization…)
ECONOMIC
• Direct costs: cost of implementation of the PI cost saving, cost avoidance
• Indirect costs: missing working
• Intangible costs: pain, suffering…
• HUMANISTIC
• Patient’s satisfaction• Knowledge• Medication compliance• Quality of life• …
3. Pharmacoeconomic model Value of a PI
Value = Differences between the scenarios without and with the PI
A systematic review – Results & Discussion
Schumock GT et al. (2000). Method to assess the economic outcomes of clinical pharmacy services. Pharmacotherapy.
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STRUCTURE
SettingsStaffs: trained pharmacistsEquipmentsInformation resourcesFinancal stability
….
PROCESS
TechnicalN° DRPs/PIsConsistency to standardsAgreement between HCPsAcceptance
InterpersonalSatisfaction of HCPsCollaboration between HCPs
CLINICAL
• Severity of DRPs: harm, ADR, therapeutic failure
• Significance of PIs: Health care resources avoided(eg., emergency visit, hospitalization…)
ECONOMIC
• Direct costs: cost of implementation of the PI cost saving, cost avoidance
• Indirect costs: missing working
• Intangible costs: pain, suffering…
HUMANISTIC
• Patient’s satisfaction• Knowledge• Medication compliance• Quality of life• …
Severity X Probability = Risk Matrix
4. Risk assessment matrix
A systematic review – Results & Discussion
National patient safety agency (2008). A risk matrix for risk managers.
STRUCTURE
SettingsStaffs: trained pharmacistsEquipmentsInformation resourcesFinancal stability
….
PROCESS
TechnicalN° DRPs/PIsConsistency to standardsAgreement between HCPsAcceptance
InterpersonalSatisfaction of HCPsCollaboration between HCPs
OUTCOME
Clinical Humanistic Economic…
CLINICAL
• Severity of DRPs: harm, ADR, therapeutic failure
• Significance of PIs: Health care resources avoided (eg., emergency visit, hospitalization…)
ECONOMIC
• Direct costs: cost of implementation of the PI cost saving, cost avoidance
• Indirect costs: missing working
• Intangible costs: pain, suffering…
HUMANISTIC
• Patient’s satisfaction• Knowledge• Medication compliance• Quality of life• …
Value = Differences between the scenarios without and with the PI
Severity X Probability = Risk Matrix
An optimal model of evaluation of impacts of PIs: SP(ECH)O-P
Multi- or mono-dimensional
Independent/Integrated
Ordinal/Nominal
Numeric/Non-numeric
Explicit/Implicit
Opened/closed
B. Properties of structure of tools
A systematic review – Results & Discussion
Few tools have these optimal properties of structure
A. Models & content of tools
C. Properties of validation of tools
A systematic review – Results & Discussion
Inter-rater reliability
• Agreement between raters
• 48/133 studies
Intra-rater reliability
• Agreement of same raters between times
• 2/133 studies
Validity
• Agreement between raters’ and gold standard ratings
• 8/133 studies
A. Models & content of tools
B. Properties of structure of tools
Need of test inter-rater, intra-rater reliability and validity of a new tool
1. Introduction
2. Development of a new tool
2.1. Review of models and tools
2.2. Development of the CLEO tool
3. Validation of the CLEO tool
3.1. Test in a general practice
3.2. Test in a specific clinical service
4. Discussion & Perspectives
5. Conclusion
Plan
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Development of the CLEO toolPROCESS OF DEVELOPMENT
• GROUP: 7 pharmacists of the working
group of SFPC (French Society of Clinical
Pharmacy)
• WHY ? A simple, comprehensive, reliable
tool
• WHERE ? Hospital
• WHAT ? clinical, humanistic, economic,
process-related. No probability.
• WHEN? Potential impact
• FOR WHOM ? For the patient, hospital,
HCPs
• HOW ? 3 dimensions, 4-7 categories,
opened
• RESULTS: 6 direct meetings, 5 versions of
the CLEO tool
SCORE IMPACTS
CLINICAL (CL)
-1C Negative
0C Null
1C Positive – Humanistic
2C Favorable – Minor
3C Favorable – Major
4C Favorable – Vital
ND Non-determined
ECONOMIC (E) -1E Negative
0E Null
1E Positive
ND Non-determined
ORGANIZATIONAL (O) -1O Negative
0O Null
1O Positive
ND Non-determined
Score (CL, E, O)
Score Impact The clinical impact is evaluated according to the most likely case expected, not the worst/best case
-1C Nuisible The PI can lead to adverse outcomes on clinical status, knowledge, satisfaction, patient adherence and/or quality of life of the patient.
0C Null The PI can have no influence on the patient regarding the clinical status, knowledge, satisfaction, patient adherence and or quality of life of the patient.
1C Minor The PI can improve knowledge, satisfaction, medication adherence and/or quality of life of the patient OR the IP can prevent damage that does not require monitoring/treatment.
2C Moderate The PI can prevent harm that requires further monitoring/treatment, but does not lead or dose extend a hospital stay of the patient.
3C Major The PI can prevent harm which causes or lengthens a hospital stay OR causes permanent disability or handicap.
4C Lethal The PI can prevent an accident that causes a potentially intensive care or death of the patient.
ND Non-determined
The available information does not determine the clinical impact.
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1. CLINICAL IMPACT6 levels of Hatoum’s tool
Severity categories from the NCC MERP Index
Humanistic indicators = low levels from the Williams et al.’s tool
Development of the CLEO tool
The « Clinical impact » focuses on clinical and humanistic impacts of the PI for the patient.
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2. ECONOMIC IMPACT
Score Impact Definition
-1E Increase of cost The PI increases the cost of the drug treatment of the patient.
0E No change The PI does not change the cost of drug treatment of the patient.
1E Decrease of cost The PI saves the cost of drug treatment of the patient.
ND Non-determined The available information does not allow determining the economic impact.
The cost of drug therapy contains two main elements:• The cost of drugs• The cost of monitoring of drug therapy (e.g., clinical, kinetic, biological
monitoring ...). The cost of drug therapy is based on the financial cost of a hospital.
Development of the CLEO tool
The « Economic impact » dimension focuses on cost savings of PIs based on the financial cost for a hospital
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3. ORGANIZATIONAL IMPACT
Score Impact Definition
-1O Negative The PI reduces the quality of care process.
0O Null The PI does not change the quality of the care process.
1O Positive The PI increases the quality of the care process.
ND Non-determined The available information does not identify the organizational impact.
The organizational impact is coded regarding the overall impact on the quality of the care process from the perspective of health care providers (eg, time savings, improved security, knowledge, job satisfaction of nursing staff; facilitating professional tasks or teamwork, continuity of care, etc.)
Development of the CLEO tool
The « Organizational impact » dimension focuses on benefits of PIs on process of care for HCPs
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Development of the CLEO toolA CASE STUDY
• Description: Woman 85 years old was
treated by AUGMENTIN (amoxicillin +
clavulanic acid) IV for sinusitis.
• PM: the patient was known to be
allergic to beta-lactams
(angioedema).
• IP: change to PYOSTACINE
(pristinamycin) 500mg tablet.
SCORE IMPACTS
CLINICAL (CL)
-1C Negative
0C Null
1C Positive – Humanistic
2C Favorable – Minor
3C Favorable – Major
4C Favorable – Vital
ND Non-determined
ECONOMIC (E) -1E Negative – Increase of cost
0E Null – No change
1E Positive – Decrease of costs
ND Non-determined
ORGANIZATIONAL (O) -1O Negative
0O Null
1O Positive
ND Non-determined
Score (3C, -1E, 1O)
1. Introduction
2. Development of a new tool
2.1. Review of models and tools
2.2. Development of the CLEO tool
3. Validation of the CLEO tool
3.1. Test in a general practice
3.2. Test in a specific clinical service
4. Discussions & Perspectives
5. Conclusions
Plan
Test in a general practice - Method
1st rating
2nd rating
3rd rating
50 PIs from the Act-IP®database
30 PIs from the 6 pharmacists’ hospital practice
10 PIs from the same 30 PIs
The CLEO v1
The CLEO v2
The CLEO v2
Raters TestScenarios Tool
InTER-rater reliability
InTER-rater reliability
InTRA-rater reliability
7 pharmacists of the group of SFPC
The SP(ECH)O-P model The CLEO
Test in a specific practice - Method
Kappa value – Agreement< 0 : poor0.00-0.20: slight0.21-0.40: fair0.41-0.60: moderate0.61-0.80: substantial 0.81-1.00: almost perfect
Agreement: %
Validity/Reliability: Weighted kappa (kw)
Statistical test
Gisev et al (2013). Interrater agreement and interrater reliability: key concepts, approaches, and applications. Res Social Adm Pharm.
Expected weighted kappa: kw ≥ 0.41 (moderate agreement)
Interpretation of kappa value by Landais & Koch:
Test in a general practice - Results
1st rating
2nd rating
3rd rating
The CLEO v1
The CLEO v2
The CLEO v2
Raters TestTool
InTER-rater reliabilityCL: 36%, kw = 0.34 XE: 65%, kw = 0.53 O: 57%, kw = 0.26 X
InTER-rater reliabilityCL: 39%, kw = 0.41 E: 90%, kw = 0.93 O: 62%, kw = 0.39 !
InTRA-rater reliabilityCL: 33%, kw = 0.38 ! E: 80%, kw = 0.70
The CLEO v2 CL nearly validatedE validatedO nearly validated
Expected weighted kappa: kw ≥ 0.41 (moderate agreement)
1. Introduction
2. Development of a new tool
2.1. Review of models and tools
2.2. Development of the CLEO tool
3. Validation of the CLEO tool
3.1. Test in a general practice
3.2. Test in a specific clinical service
4. Discussion & Perspectives
5. Conclusions
Plan
Test in a specific practice - Method
Objective: To assess validity and reliabilty of the CLEO tool used in daily practice in a Centralized Preparation Unit of Anticancer Drugs (CPU) at the Grenoble University Hospital
Type of study: mono-center, prospective
Services included : • Complete Hospitalisation in hematology and oncology• One-day Hospital in hematology, oncology, pneumology, hepato-
gastroenterology and radiotherapy
Period of study : 10 weeks (July 2014 to September 2014)
Sample: 214 PIs related to 167 patients.
1st rating
2nd rating
3rd rating
Ward-based pharmacist (P2)
Hematology43 PI
Oncology radiotherapy
146 PI
Pneumology33 PI
Hepatogastroenterology
15 PI
1 panel for each speciality 4 panels
Pharmacist at the CPU (P1)
Expert panel (EP)
Composition of each panel : 4 members (a specialist – physician, a clinical pharmacist, a pharmacist at the CPU and a pharmacist at a pharmacovigilance center)
The CLEO v2
The CLEO v2
The CLEO v2
InTER-rater reliability (P1-P2)
Validity (P1-EP)
Validity (P2-EP)
Raters TestTool
Test in a specific practice - MethodProcess of ratings
Test in a specific practice - Method
1st rating
2nd rating
3rd rating
Ward-bassed pharmacist (P2)
Pharmacist at the CPU (P1)
Expert panel (EP)
The CLEO v2
The CLEO v2
The CLEO v2
Inter-rater reliability (P1-P2)CL: 51%, kw = 0.48 E: 71%, kw = 0.61 O: 60%, 0.27 X
Validity (P1-EP)CL: 41%, kw = 0.32 ! E: 68%, kw = 0.53 O: 57%, kw = 0.17 X
Validity (P2-EP)CL: 54%, kw = 0.56 E: 81%, kw = 0.75 O: 49%, kw = 0.11 X
Raters TestThe tool
The CLEO v2 CL nearly validatedE validatedO NOT validated
Expected weighted kappa: kw ≥ 0.41 (moderate agreement)
1. Introduction
2. Development of a new tool
2.1. Review of models and tools
2.2. Development of the CLEO tool
3. Validation of the CLEO tool
3.1. Test in a general practice
3.2. Test in a specific clinical service
4. Discussion & Perspectives
5. Conclusion
Plan
A updated systematic review of tools of assessing
potential impacts of PIs was conducted with:
• 82 distinct tools found in 133 studies: rich resources for
development of new tools
• 6 models of evaluations
• 12 recommendations of methods of assessment of
potential impacts of PIs: theoretical, psychometric and
pragmatic properties
Discussion & Perspectives
1. Principal findings
The SP(ECH)O-P model:• The first specific model in literature for evaluation of PIs
• A comprehensive model including 6 main types of
indicators
• Relationships between types of indicators
Discussion & Perspectives
1. Principal findings
▷ Content & Structure: humanistic indicators included, health care resouces included, structure inspired the Hatoum’s tool, content inspired from NCC MERP, 7 categories
▷ Validation properties33-54%, Kw = 0.32-0.56 VALIDATED
▷ ▷ Content & Structure: cost savings
(drug, monitoring), 4 categories▷ Validation properties68-90% , Kw = 0.53-0.93 VALIDATED
▷ Content & Structure: integration of many organizational indicators and persepctives of HCPs, 4 categories
▷ Validation properties49-63% , Kw = 0.11-0.39 NOT VALIDATED
Economic impact
Test of the CLEO in 2 studies - Results
Clinical impact
Organizational impact
Content, Structure & Validity of the CLEO tool1. Principal findings
Discussion & Perspectives
Improvement of validation properties: training, examples Establisment relationship between potential and actual clinical
impact
Development of separate tools for measuring humanistic impacts
Specific study for improvement of organizational impact: eg., qualitative studies on perceptions of HCPs of organizational impacts
Estimation of direct costs (cost savings, cost avoidance and cost of implementation of a PI)
Adding estimation of probability
2. Validity of findings – Quality of the CLEO tool
Develop of assessment matrix (a global score)
Discussion – The CLEO tool2. Validity of findings – Validity of research method
Internal validity - Confounding: perceptions
of raters
- Maturation of raters:
familiarity with the tool
- Testing bias: awareness of
ratings
- Selection bias of PIs- Statistical test: %, kw
External validity- Raters: 7 raters involved to
develop another tool 10
years ago
- Ratings: requirement of
confirmations of ratings in
some cases
- Settings: a specific
practice (CPU)
- Tool: the French-written
CLEO tool for hospital
Database: Adding only the
« Clinical impact » and « Economic
impact » into the Act-IP® database.
French hospitals: test for daily use
in other services/hospitals (Lyon,
Annecy, Epernay…)
Community pharmacies:
modifications of the CLEO
Other langues/countries: Vietnam
276,851 documented PIs 1723 pharmacists
Senior 45% Resident 50% Student 6%
666 hospitals University 34% General 62% Psychiatric 4%
Act-IP© http://www.actip.sfpc.eu
Perspectives
1. Introduction
2. Development of a new tool
2.1. Review of models and tools
2.2. Development of the CLEO tool
3. Validation of the CLEO tool
3.1. Test in a general practice
3.2. Test in a specific clinical service
4. Discussion & Perspectives
5. Conclusion
Plan
The updated systematic review of tools for assessing of potential
impacts of PIs synthesized models, content, structure and
validation properties of tools.
The specific and comprehensive model for evaluations of PIs, named SP(ECH)O-P was developed.
The CLEO tool of assessing potential impacts of PIs (including 3
dimensions: Clinical Impact, Economic Impact, and
Organizational impact) was constructed and tested in 2 studies.
However, only « Clinical impact » and « Economic impact »
dimensions were validated.
Conclusion
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Discussion, conclusion
Working group “Standardizing and demonstrating the value of clinical pharmacy activities” of the SFPC (the French Society of Clinical Pharmacy)
Group of clinical practitioners (pharmacists, physicians) at the Grenoble University Hospital
Acknowledgements
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It is not hard to make decisions once you know what your values are. Roy E. Disney