More work needed on decision analysis for shared decision-making: A scoping review

Brittany Humphries, Montserrat León-García, Ena Niño de Guzman Quispe, Carlos Canelo-Aybar, Claudia Valli, Kevin Pacheco-Barrios, Arnav Agarwal, Susan Mirabi, Mark H. Eckman, Gordon Guyatt, Shannon M. Bates, Feng Xie, Pablo Alonso-Coello

Resultado de la investigación: Contribución a una revistaArtículo de revisiónrevisión exhaustiva

Resumen

Objective: To explore and characterize published evidence on the ways decision analysis has been used to inform shared decision-making. Study Design and Setting: For this scoping review, we searched five bibliographic databases (from inception until February 2021), reference lists of included studies, trial registries, a thesis database and websites of relevant interest groups. Studies were eligible if they evaluated the application of decision analysis in a shared decision-making encounter. Pairs of reviewers independently screened and selected studies for inclusion, extracted study information using a data extraction form developed by the research team and assessed risk of bias for all studies with an experimental or quasi-experimental design. Data were narratively synthesized. Results: We identified 27 studies that varied greatly with regard to their patient population, design, content and delivery. A range of outcomes were evaluated to explore the effectiveness and acceptability of decision analytic interventions, with little information about the implementation process. Most studies found that decision analysis was broadly beneficial. Conclusion: Despite the compelling rationale on the potential for decision analysis to support shared decision-making, rigorous randomized controlled trials are needed to confirm these interventions' effectiveness, while qualitative studies should seek to understand their potential implementation.

Idioma originalInglés
Páginas (desde-hasta)106-120
Número de páginas15
PublicaciónJournal of Clinical Epidemiology
Volumen141
DOI
EstadoPublicada - ene 2022

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