השוואת שיטות

	מסגרת RE-AIM	טקסונומיית תוצאי יישום
תחום	מדע היישום	מדע היישום
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1999	2011
הוגה השיטה	Glasgow, R. E., Vogt, T. M., and colleagues	Proctor, E. K., Silmere, H., Raghavan, R., et al.
סוג	Framework	Taxonomy
מקור מכונן	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.	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.
כינויים	RE-AIM, REAIM, Glasgow framework	implementation outcomes, Proctor framework, implementation success measures
קשורות	5	5
תקציר	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.	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.