Comparer des méthodes

	Évaluation de la fidélité dans la mise en œuvre	Cadre Consolidé pour la Recherche sur la Mise en Œuvre (CFIR)
Domaine	Science de l'implémentation	Science de l'implémentation
Famille	Process / pipeline	Process / pipeline
Année d'origine	2004	2009
Auteur d'origine	National Institutes of Health Behavior Change Consortium; Bellg et al.	Damschroder, L. J., Aron, D. C., et al.
Type	Method	Framework
Source fondatrice	Bellg, A. J., Borrelli, B., Resnick, B., Hecht, J., Minicucci, D. S., Ory, M., ... & Treatment Fidelity Workgroup of the National Institutes of Health Behavior Change Consortium. (2004). Enhancing treatment fidelity in health behavior change studies: Best practices and recommendations from the NIH Behavior Change Consortium. Health Psychology, 23(5), 443-451.	Damschroder, L. J., Aron, D. C., Keith, R. E., Kirsh, S. R., Alexander, J. A., & Lowson, E. (2009). Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implementation Science, 4, 50.
Alias	fidelity, treatment fidelity, protocol adherence, implementation fidelity	CFIR, CFIR model, consolidated framework
Apparentées	5	5
Résumé	Fidelity Assessment is the systematic measurement of the degree to which an intervention is delivered as designed in real-world practice. Formalized by the National Institutes of Health Behavior Change Consortium (Bellg et al. 2004) and expanded in MRC guidance (Moore et al. 2015), fidelity assessment is critical to implementation science because it answers: 'Did we deliver the intervention correctly?' A clinical trial may show a treatment works, but if delivered poorly in practice, benefits disappear. Fidelity assessment prevents misattribution of failure (was the intervention weak, or was implementation poor?) and guides coaching to improve quality.	The Consolidated Framework for Implementation Research (CFIR) is a five-domain model designed to systematically evaluate the factors influencing implementation success of evidence-based interventions in health systems. Developed by Damschroder et al. (2009) and refined through extensive use across health domains, CFIR provides a structured vocabulary and taxonomy of 39 constructs that identify implementation barriers and facilitators across intervention characteristics, organizational context, individual factors, and implementation process.