Details

Autor(en) / Beteiligte

• Zeng, Linan
• Helsingen, Lise M.
• Bretthauer, Michael
• Agoritsas, Thomas
• Vandvik, Per O.
• Mustafa, Reem A.
• Busse, Jason
• Siemieniuk, Reed A.C.
• Lytvyn, Lyubov
• Li, Shelly-Anne
• Yang, Mengting
• Yan, Lijiao
• Zhang, Lingli
• Brignardello-Petersen, Romina
• Guyatt, Gordon H.

Titel

A novel framework for incorporating patient values and preferences in making guideline recommendations: guideline panel surveys

Ist Teil von

• Journal of clinical epidemiology, 2023-09, Vol.161, p.164-172

Ort / Verlag

United States: Elsevier Inc

Erscheinungsjahr

2023

Quelle

MEDLINE

Beschreibungen/Notizen

• Universally acknowledged standards for trustworthy guidelines include the necessity to ground recommendations in patient values and preferences. When information is limited – which is typically the case - guideline panels often find it difficult to explicitly integrate patient values and preferences into their recommendations. Our objective was to develop and evaluate a framework for systematically navigating guideline panels in incorporating patient values and preferences in making recommendations. In the context of developing a guideline for colorectal cancer screening, we generated an initial framework for creating panel surveys to elicit guideline panelists’ views of patient values and preferences and to inform panel discussions on recommendations. With further applications in guidelines of diverse topic areas, we dynamically refined the framework through iterative discussions and consensus. The finial framework consists five steps for creating and implementing panel surveys. The surveys can serve three objectives following from the quantitative information regarding patient values and preferences that guideline panels usually require. An accompanying video provides detailed instructions of the survery. The framework for creating and implementing panel surveys offers explicit guidance for guideline panels considering transparently and systematically incorporating patient values and preferences into guideline recommendations.