Defining decision thresholds for judgments on health benefits and harms using the grading of recommendations assessment, development, and evaluation (GRADE) evidence to decision (EtD) frameworks: a randomized methodological study (GRADE-THRESHOLD)

Decision thresholds (DTs) help with determining if effects of interventions should be considered absent, small, moderate or large. In this study we derived an overarching approach for these thresholds across conditions and outcomes. The results of this study, a randomized experiment, will help guideline developers and other decision-makers to make these judgments objectively. They will be particularly relevant for the use in Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence to decision (EtD) frameworks.

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Publication Details

Journal
Journal of Clinical Epidemiology
Published
2024-12-10
DOI
https://doi.org/10.1016/j.jclinepi.2024.111639
Citations
9
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
10.16
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article

Defining decision thresholds for judgments on health benefits and harms using the grading of recommendations assessment, development, and evaluation (GRADE) evidence to decision (EtD) frameworks: a randomized methodological study (GRADE-THRESHOLD)

Stefanos Bonovas, Lawrence C. E. Mbuagbaw, Pablo Alonso‐Coello, Elie A. Akl et al.
9 citations
Journal of Clinical Epidemiology
Health Systems, Economic Evaluations, Quality of Life
10.16
article

Defining decision thresholds for judgments on health benefits and harms using the grading of recommendations assessment, development, and evaluation (GRADE) evidence to decision (EtD) frameworks: a randomized methodological study (GRADE-THRESHOLD)

Stefanos Bonovas, Lawrence C. E. Mbuagbaw, Pablo Alonso‐Coello, Elie A. Akl, Robby Nieuwlaat, Wojtek Wiercioch, Antonio Bognanni, Daniele Piovani, Grigorios I. Leontiadis, Gian Paolo Morgano, Reem A. Mustafa, Thomas Piggott, Holger J. Schünemann, Kevin Pottie, Natalia Celedón, Marta Rigoni, Ignacio Neumann
article en
9 citations

Abstract

Decision thresholds (DTs) help with determining if effects of interventions should be considered absent, small, moderate or large. In this study we derived an overarching approach for these thresholds across conditions and outcomes. The results of this study, a randomized experiment, will help guideline developers and other decision-makers to make these judgments objectively. They will be particularly relevant for the use in Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence to decision (EtD) frameworks.

Journal of Clinical EpidemiologyVol. 179
Western University (CA), Humanitas University (IT), University of Milan (IT), European Commission (BE), McMaster University Medical Centre (CA), Hospital de Sant Pau (ES), San Sebastián University (CL), Queens University (BD), Ministry of Health (CL), Iberoamerican Cochrane Centre (ES), Impact (CA), IRCCS Humanitas Research Hospital (IT), McMaster University (CA), American University of Beirut (LB)
Peace, Justice and strong institutions
Openalex Percentile: Top 2%
Health Systems, Economic Evaluations, Quality of Life
10.16
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