GRADE summary of findings tables enhanced understanding of values and preferences evidence.

Evidence-Based Medicine Humans Pain Measurement
GRADE Quality of evidence Relative importance of outcomes Summary of findings User testing Value and preference

Journal

Journal of clinical epidemiology
ISSN: 1878-5921
Titre abrégé: J Clin Epidemiol
Pays: United States
ID NLM: 8801383

Informations de publication

Date de publication:
07 2022
Historique:
received: 27 11 2021
revised: 08 03 2022
accepted: 20 03 2022
pubmed: 2 4 2022
medline: 12 10 2022
entrez: 1 4 2022
Statut: ppublish

Résumé

We conceptualize patient values and preferences as the relative importance of health outcomes (RIO) which are often obtained through utility elicitation research. A transparent and structured approach to present synthesized RIO evidence and the certainty of this evidence is needed. This study aims to adapt the summary of findings (SoF) table to describe the RIO. We performed three interactive workshops with a protype version of the SoF table for RIO, evidence adapted from the SoF table for intervention effects. We then tested the new format through semi-structured interviews with professionals who interpret RIO evidence (e.g., systematic review authors and guideline developers). We adapted the SoF table for the presentation of RIO evidence. This SoF table may be easy to use, but bears one risk: some participants misunderstood the utility information and the variability around the RIO. We added a visual analogue scale to clarify the concept of utilities. Through a multi-stage process including brainstorming sessions and interviews, we adapted the SoF table to present RIO evidence. This table may enhance understanding of evidence synthesis of values and preferences, facilitating the incorporation of this type of evidence in decision-making.

Identifiants

DOI: 10.1016/j.jclinepi.2022.03.007 PMID: 35364232
pubmed: 35364232
pii: S0895-4356(22)00068-3
doi: 10.1016/j.jclinepi.2022.03.007
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

60-68

Informations de copyright

Copyright © 2022. Published by Elsevier Inc.

Auteurs

Yuan Zhang (Y)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; McMaster GRADE Centre, McMaster University, Hamilton, Ontario, Canada; Michael G DeGroote Cochrane Canada Centre, McMaster University, Hamilton, Ontario, Canada.

Shelly-Anne Li (SA)

Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada.

Juan Jose Yepes-Nuñez (JJ)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

Rebecca L Morgan (RL)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

Hector Pardo-Hernandez (H)

Iberoamerican Cochrane Centre, Biomedical Research Institute (IIB Sant Pau-CIBERESP), Barcelona, Spain.

Pablo Alonso Coello (P)

Iberoamerican Cochrane Centre, Biomedical Research Institute (IIB Sant Pau-CIBERESP), Barcelona, Spain; Barcelona GRADE Centre, Biomedical Research Institute (IIB Sant Pau-CIBERESP), Barcelona, Spain.

Melody Ren (M)

Department of Medicine, University of Toronto, Toronto, Ontario, Canada.

Reza D Mirza (RD)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Medicine, University of Toronto, Toronto, Ontario, Canada.

Gordon H Guyatt (GH)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Faculty of Health Science, Department of Medicine, McMaster University, Hamilton, Ontario, Canada.

Holger J Schünemann (HJ)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; McMaster GRADE Centre, McMaster University, Hamilton, Ontario, Canada; Michael G DeGroote Cochrane Canada Centre, McMaster University, Hamilton, Ontario, Canada; Faculty of Health Science, Department of Medicine, McMaster University, Hamilton, Ontario, Canada. Electronic address: schuneh@mcmaster.ca.

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Classifications MeSH

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