Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Marco conceptual RE-AIM× | Taxonomía de Resultados de Implementación× | |
|---|---|---|
| Campo | Ciencia de la implementación | Ciencia de la implementación |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1999 | 2011 |
| Autor original≠ | Glasgow, R. E., Vogt, T. M., and colleagues | Proctor, E. K., Silmere, H., Raghavan, R., et al. |
| Tipo≠ | Framework | Taxonomy |
| Fuente seminal≠ | 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. DOI ↗ | 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. DOI ↗ |
| Alias | RE-AIM, REAIM, Glasgow framework | implementation outcomes, Proctor framework, implementation success measures |
| Relacionados | 5 | 5 |
| Resumen≠ | 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. |
| ScholarGateConjunto de datos ↗ |
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