পদ্ধতির তুলনা করুন

	Consolidated Framework for Implementation Research	বাস্তবায়ন ফলাফল শ্রেণীবিন্যাস
ক্ষেত্র	বাস্তবায়ন বিজ্ঞান	বাস্তবায়ন বিজ্ঞান
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	2009	2011
প্রবর্তক	Damschroder, L. J., Aron, D. C., et al.	Proctor, E. K., Silmere, H., Raghavan, R., et al.
ধরন	Framework	Taxonomy
মৌলিক উৎস	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.	Proctor, E. K., Silmere, H., Raghavan, R., Hovmand, P., Aarons, G. A., Bunger, A., ... & Rojas, D. (2011). Outcomes for implementation research: Conceptual distinctions, measurement challenges, and research agenda. Administration and Policy in Mental Health and Mental Health Services Research, 38(2), 65-76.
অপর নাম	CFIR, CFIR model, consolidated framework	implementation outcomes, Proctor framework, implementation success measures
সম্পর্কিত	5	5
সারসংক্ষেপ	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.	The Implementation Outcome Taxonomy is a framework defining eight measurable dimensions for assessing implementation success: Acceptability, Adoption, Appropriateness, Feasibility, Fidelity, Implementation Cost, Penetration, and Sustainability. Developed by Proctor et al. (2011), it provides a standardized vocabulary and measurement approach to distinguish implementation process outcomes (how well was the intervention delivered?) from clinical outcomes (did patients get better?). This taxonomy is foundational to implementation science because it acknowledges that an evidence-based intervention can be effective (clinical outcome) but poorly implemented (implementation outcome), or feasible to deliver but not adopted by organizations.