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The GRADE approach is reproducible in assessing the quality of evidence of quantitative evidence syntheses

  • Reem A. Mustafa
  • , Nancy Santesso
  • , Jan Brozek
  • , Elie A. Akl
  • , Stephen D. Walter
  • , Geoff Norman
  • , Mahan Kulasegaram
  • , Robin Christensen
  • , Gordon H. Guyatt
  • , Yngve Falck-Ytter
  • , Stephanie Chang
  • , Mohammad Hassan Murad
  • , Gunn E. Vist
  • , Toby Lasserson
  • , Gerald Gartlehner
  • , Vijay Shukla
  • , Xin Sun
  • , Craig Whittington
  • , Piet N. Post
  • , Eddy Lang
  • Kylie Thaler, Ilkka Kunnamo, Heidi Alenius, Joerg J. Meerpohl, Ana C. Alba, Immaculate F. Nevis, Stephen Gentles, Marie Chantal Ethier, Alonso Carrasco-Labra, Rasha Khatib, Gihad Nesrallah, Jamie Kroft, Amanda Selk, Romina Brignardello-Petersen, Holger J. Schünemann
  • McMaster University
  • SUNY Buffalo
  • University of Copenhagen
  • Case Western Reserve University
  • Agency for Healthcare Research and Quality
  • Mayo Clinic Rochester, MN
  • Norwegian Knowledge Centre for Health Services
  • RTI International
  • Canadian Agency for Drugs and Technologies in Health
  • Kaiser Permanente
  • National Collaborating Centre for Mental Health
  • Post voor Zorg
  • University of Calgary
  • University for Continuing Education Krems
  • Duodecim Medical Publications Ltd
  • University of Freiburg
  • University Health Network Toronto General Hospital
  • University of Toronto
  • Universidad de Chile
  • Population Health Research Institute, Ontario
  • Humber River Regional Hospital

Research output: Contribution to journalArticlepeer-review

319 Scopus citations

Abstract

Objective: We evaluated the inter-rater reliability (IRR) of assessing the quality of evidence (QoE) using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach. Study Design and Setting: On completing two training exercises, participants worked independently as individual raters to assess the QoE of 16 outcomes. After recording their initial impression using a global rating, raters graded the QoE following the GRADE approach. Subsequently, randomly paired raters submitted a consensus rating. Results: The IRR without using the GRADE approach for two individual raters was 0.31 (95% confidence interval [95% CI] = 0.21-0.42) among Health Research Methodology students (n = 10) and 0.27 (95% CI = 0.19-0.37) among the GRADE working group members (n = 15). The corresponding IRR of the GRADE approach in assessing the QoE was significantly higher, that is, 0.66 (95% CI = 0.56-0.75) and 0.72 (95% CI = 0.61-0.79), respectively. The IRR further increased for three (0.80 [95% CI = 0.73-0.86] and 0.74 [95% CI = 0.65-0.81]) or four raters (0.84 [95% CI = 0.78-0.89] and 0.79 [95% CI = 0.71-0.85]). The IRR did not improve when QoE was assessed through a consensus rating. Conclusion: Our findings suggest that trained individuals using the GRADE approach improves reliability in comparison to intuitive judgments about the QoE and that two individual raters can reliably assess the QoE using the GRADE system.

Original languageEnglish
Pages (from-to)736-742.e5
JournalJournal of Clinical Epidemiology
Volume66
Issue number7
DOIs
StatePublished - Jul 2013

Keywords

  • Evidence-based medicine
  • GRADE
  • Inter-rater reliability
  • Levels of evidence
  • Reproducibility
  • Validation studies

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