Confronta i metodi
Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| Theoretical Domains Framework (TDF)× | Tassonomia degli Esiti di Implementazione× | |
|---|---|---|
| Campo | Scienza dell'implementazione | Scienza dell'implementazione |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 2005 | 2011 |
| Ideatore≠ | Michie, S., Johnston, M., Abraham, C., et al. | Proctor, E. K., Silmere, H., Raghavan, R., et al. |
| Tipo≠ | Framework | Taxonomy |
| Fonte seminale≠ | Michie, S., Johnston, M., Abraham, C., Lawton, R., Parker, D., & Walker, A. (2005). Making psychological theory useful for implementing evidence based practice: A consensus approach. Quality and Safety in Health Care, 14(1), 26-33. 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 | TDF, theoretical domains, behaviour change framework | implementation outcomes, Proctor framework, implementation success measures |
| Correlati | 5 | 5 |
| Sintesi≠ | The Theoretical Domains Framework (TDF) is a 14-domain model that integrates constructs from 33 behavior change and implementation theories to identify barriers and facilitators to professional and public behavior change. Developed by Michie et al. (2005) to provide a practical tool for implementation scientists and behavior change specialists, the TDF helps systematically assess 'why' healthcare professionals or patients do (or do not) adopt evidence-based practices, and guides the design of tailored behavior change interventions. | 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. |
| ScholarGateInsieme di dati ↗ |
|
|