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Tailoring the CFIR to Medication Adherence Interventions: A Delphi and Living Lab Study
Mirthe A M Oude Lansink1,2,3, Bart J F van den Bemt1,2,3, Caroline H P A van de Steeg-van Gompel4
1Department of Research, Sint Maartenskliniek, Postbus 9011, 6500 GM Nijmegen, The Netherlands.
Improving medication adherence interventions requires understanding implementation challenges. This study tailored a framework to predict intervention success, finding expert opinions only partially aligned with real-world practice.
Area of Science:
- Implementation Science
- Health Services Research
- Pharmacy Practice
Background:
- Medication adherence interventions are often poorly implemented.
- Existing implementation frameworks need context-specific tailoring for effective use.
- Predicting intervention success requires understanding key implementation determinants.
Purpose of the Study:
- To tailor the Consolidated Framework for Implementation Research (CFIR) for medication adherence interventions.
- To assess the predictive accuracy of expert opinion on implementation determinants.
- To compare expert assessments with real-world implementation outcomes.
Main Methods:
- A Delphi study was conducted with experts rating CFIR determinants for medication adherence interventions.
- Four Dutch living labs prospectively evaluated these determinants during intervention implementation.
- Expert ratings were compared against observed importance in practice.
Main Results:
- 16 out of 40 CFIR determinants were identified as important across living labs, primarily related to inner setting, individuals, and process.
- Expert opinions matched real-world practice for only 18 of 40 determinants (45%) regarding importance.
- The CFIR framework was adapted for primary care medication adherence interventions.
Conclusions:
- Tailored determinant frameworks can aid in assessing intervention implementability prior to rollout.
- Expert predictions of implementation importance have limitations; real-world data is crucial.
- Integrating practice-based evidence enhances the utility of implementation frameworks.
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