手法を比較

	実装アウトカム分類	RE-AIM フレームワーク
分野	実装科学	実装科学
系統	Process / pipeline	Process / pipeline
提唱年	2011	1999
提唱者	Proctor, E. K., Silmere, H., Raghavan, R., et al.	Glasgow, R. E., Vogt, T. M., and colleagues
種類	Taxonomy	Framework
原典	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.	Glasgow, R. E., Vogt, T. M., & Boles, S. M. (1999). Evaluating the public health impact of health promotion interventions: The RE-AIM framework. American Journal of Public Health, 89(9), 1322-1327.
別名	implementation outcomes, Proctor framework, implementation success measures	RE-AIM, REAIM, Glasgow framework
関連	5	5
概要	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.	The RE-AIM framework (Reach, Effectiveness, Adoption, Implementation, Maintenance) is a five-dimension evaluation tool designed to assess the public health impact of evidence-based interventions in real-world settings. Developed by Glasgow et al. (1999) to address the gap between efficacy trials (controlled conditions) and effectiveness in practice, RE-AIM provides a comprehensive set of metrics to determine whether an intervention is 'worth it' from both scientific and practical perspectives. It has become the standard framework for evaluating implementation success across health domains.