Structured decision-making drives guidelines panels' recommendations "for" but not "against" health interventions.


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:
06 2019
Historique:
received: 08 07 2018
revised: 24 01 2019
accepted: 07 02 2019
pubmed: 20 2 2019
medline: 19 5 2020
entrez: 20 2 2019
Statut: ppublish

Résumé

The determinants of guideline panels' recommendations remain uncertain. The objective of this study was to investigate factors considered by members of 8 panels convened by the American Society of Hematology (ASH) to develop guidelines using Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. Web-based survey of the participants in the ASH guidelines panels. two-level hierarchical, random-effect, multivariable regression analysis to explore the relation between GRADE and non-GRADE factors and strength of recommendations (SOR). In the primary analysis, certainty in evidence [OR = 1.83; (95CI% 1.45-2.31)], balance of benefits and harms [OR = 1.49 (95CI% 1.30-1.69)] and variability in patients' values and preferences [OR = 1.47 (95CI% 1.15-1.88)] proved the strongest predictors of SOR. In a secondary analysis, certainty of evidence was associated with a strong recommendation [OR = 3.60 (95% CI 2.16-6.00)] when panel members recommended "for" interventions but not when they made recommendations "against" interventions [OR = 0.98 (95%CI: 0.57-1.8)] consistent with "yes" bias. Agreement between individual members and the group in rating SOR varied (kappa ranged from -0.01 to 0.64). GRADE's conceptual framework proved, in general, to be highly associated with SOR. Failure of certainty of evidence to be associated with SOR against an intervention, suggest the need for improvements in the process.

Sections du résumé

BACKGROUND AND OBJECTIVES
The determinants of guideline panels' recommendations remain uncertain. The objective of this study was to investigate factors considered by members of 8 panels convened by the American Society of Hematology (ASH) to develop guidelines using Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system.
STUDY DESIGN AND SETTING
Web-based survey of the participants in the ASH guidelines panels.
ANALYSIS
two-level hierarchical, random-effect, multivariable regression analysis to explore the relation between GRADE and non-GRADE factors and strength of recommendations (SOR).
RESULTS
In the primary analysis, certainty in evidence [OR = 1.83; (95CI% 1.45-2.31)], balance of benefits and harms [OR = 1.49 (95CI% 1.30-1.69)] and variability in patients' values and preferences [OR = 1.47 (95CI% 1.15-1.88)] proved the strongest predictors of SOR. In a secondary analysis, certainty of evidence was associated with a strong recommendation [OR = 3.60 (95% CI 2.16-6.00)] when panel members recommended "for" interventions but not when they made recommendations "against" interventions [OR = 0.98 (95%CI: 0.57-1.8)] consistent with "yes" bias. Agreement between individual members and the group in rating SOR varied (kappa ranged from -0.01 to 0.64).
CONCLUSION
GRADE's conceptual framework proved, in general, to be highly associated with SOR. Failure of certainty of evidence to be associated with SOR against an intervention, suggest the need for improvements in the process.

Identifiants

pubmed: 30779950
pii: S0895-4356(18)30616-4
doi: 10.1016/j.jclinepi.2019.02.009
pmc: PMC7268742
mid: NIHMS1594305
pii:
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, P.H.S. Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

23-33

Subventions

Organisme : AHRQ HHS
ID : R01 HS024917
Pays : United States

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

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Auteurs

Benjamin Djulbegovic (B)

Department of Supportive Care Medicine, City of Hope, 1500 East Duarte Rd, Duarte, CA, USA; Department of Hematology, City of Hope, 1500 East Duarte Rd, Duarte, CA, USA. Electronic address: bdjulbegovic@coh.org.

Tea Reljic (T)

Department of Medicine, University of South Florida, 12901 Bruce B Downs Blvd, Tampa, FL, USA.

Shira Elqayam (S)

Department of Medicine, De Montfort University, Leicester, UK.

Adam Cuker (A)

Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Iztok Hozo (I)

Department of Mathematics, Indiana University, Gary, IN, USA.

Qi Zhou (Q)

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

Shelly-Anne Li (SA)

Faculty of Nursing, University of Toronto, Canada.

Paul Alexander (P)

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

Robby Nieuwlaat (R)

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

Wojtek Wiercioch (W)

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

Holger Schünemann (H)

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

Gordon Guyatt (G)

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

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