Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Extinderea Intervențiilor în Sănătate× | Cadrul RE-AIM× | |
|---|---|---|
| Domeniu | Știința implementării | Știința implementării |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 2007 | 1999 |
| Autorul original≠ | Simmons, R., Fajans, P., Ghiron, L. (World Health Organization) | Glasgow, R. E., Vogt, T. M., and colleagues |
| Tip | Framework | Framework |
| Sursa seminală≠ | Simmons, R., Fajans, P., & Ghiron, L. (Eds.). (2007). Scaling Up Health Service Delivery: From Pilot Innovations to Policies and Programmes. World Health Organization, Geneva. link ↗ | 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 ↗ |
| Denumiri alternative≠ | scaling up, expansion, scale, dissemination | RE-AIM, REAIM, Glasgow framework |
| Înrudite | 5 | 5 |
| Rezumat≠ | Scaling Up is the deliberate expansion of successful health interventions from pilot sites to entire health systems, regions, or countries. Formalized by the World Health Organization (WHO) and Simmons et al. (2007), scaling up is distinct from simple dissemination; it requires systematic planning, financial modeling, capacity building, and policy alignment to ensure interventions work at scale. A pilot that succeeds brilliantly with champion leadership, dedicated funding, and motivated staff may fail when scaled to routine settings with limited resources. Scaling Up frameworks help practitioners anticipate and overcome these challenges. | 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. |
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