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GRADE Guidance: Using Thresholds for Judgments on Health Benefits and Harms in Decision Making (GRADE Guidance 42)

  • Wojtek Wiercioch
  • , Gian Paolo Morgano
  • , Thomas Piggott
  • , Robby Nieuwlaat
  • , Ignacio Neumann
  • , Bernardo Sousa-Pinto
  • , Pablo Alonso-Coello
  • , Elie A. Akl
  • , Lawrence Mbuagbaw
  • , Fuad Mirzayev
  • , Lorenzo Moja
  • , Reem Mustafa
  • , Daniele Piovani
  • , Elena Parmelli
  • , Zuleika Saz-Parkinson
  • , Samuel G. Schumacher
  • , Ilse Verstijnen
  • , Stefanos Bonovas
  • , Holger J. Schünemann
  • McMaster University
  • European Commission Joint Research Centre
  • Universidad San Sebastián
  • University of Porto
  • Research Institute of the Santa Creu i Sant Pau Hospital
  • American University of Beirut
  • World Health Organization
  • University of Kansas
  • Humanitas University
  • European Commission

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Users of GRADE (Grading of Recommendations Assessment, Development and Evaluation) make judgments about the size of intervention effects on desirable and undesirable people-important health outcomes or on benefits and harms. Benchmarking effect sizes by using decision thresholds (DTs) can help to facilitate these judgments and the process. This article provides GRADE guidance for use of DTs for judgments about the magnitude of desirable and undesirable health effects, such as in a health guideline or health technology assessment. Through iterative discussions and refinement in in-person and online meetings of a GRADE project group and through e-mail communication, the authors developed guidance for using DTs in Evidence-to-Decision (EtD) frameworks. The authors applied the approach and used these examples from guidelines and the results of a randomized methodological study to develop official GRADE guidance. Several alternatives for determining and using DTs are presented. In the first main approach, outcome-specific DTs for trivial, small, moderate, and large effects are determined through a calculation using empirically derived generic coefficients and the outcome’s utility value and are compared with the effect estimate obtained from an evidence synthesis. In the second main approach, outcome-specific DTs are also determined, but through direct surveying of decision makers to explicitly assign thresholds for the prioritized health outcomes. The article also describes how these approaches can be combined. The suggested approaches provide transparency for judgments in EtD frameworks that are based on findings from evidence syntheses.

Original languageEnglish
Pages (from-to)1644-1652
Number of pages9
JournalAnnals of Internal Medicine
Volume178
Issue number11
DOIs
StatePublished - Nov 2025

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