Cited by 588Reliability and Agreement in MeasurementDelphi Technique in ResearchMeta-analysis and systematic reviews

COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study

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Mokkink, L. B., Boers, M., van der Vleuten, C. P. M., Bouter, L. M., Alonso, J., Patrick, D. L., de Vet, H. C. W., Terwee, C. B.·2020·BMC Medical Research Methodology

Published version of a preprint

Abstract

Background: Scores on an outcome measurement instrument depend on the type and settings of the instrument used, how instructions are given to patients, how professionals administer and score the instrument, etc. The impact of all these sources of variation on scores can be assessed in studies on reliability and measurement error, if properly designed and analyzed. The aim of this study was to develop standards to assess the quality of studies on reliability and measurement error of clinician-reported outcome measurement instruments, performance-based outcome measurement instrument, and laboratory values. Methods: We conducted a 3-round Delphi study involving 52 panelists. Results: Consensus was reached on how a comprehensive research question can be deduced from the design of a reliability study to determine how the results of a study inform us about the quality of the outcome measurement instrument at issue. Consensus was reached on components of outcome measurement instruments, i.e. the potential sources of variation. Next, we reached consensus on standards on design requirements ( n = 5), standards on preferred statistical methods for reliability ( n = 3) and measurement error ( n = 2), and their ratings on a four-point scale. There was one term for a component and one rating of one standard on which no consensus was reached, and therefore required a decision by the steering committee. Conclusion: We developed a tool that enables researchers with and without thorough knowledge on measurement properties to assess the quality of a study on reliability and measurement error of outcome measurement instruments.

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Authors
Mokkink, L. B., Boers, M., van der Vleuten, C. P. M., Bouter, L. M., Alonso, J., Patrick, D. L., de Vet, H. C. W., & Terwee, C. B.
Affiliations
  • Amsterdam Public Health (NL)
  • Universitat Pompeu Fabra (ES)
  • University of Washington (US)
Corresponding author
Mokkink, L. B.
Venue
BMC Medical Research Methodology
Published
2020-12
Volume
20
Issue
1
Pages
293-293
ISSN
1471-2288 (ISSN-L)
OpenAlex
W3107903990
Cited by
588
References
31
Citations by year
2026: 106 · 2025: 121 · 2024: 149 · 2023: 101 · 2022: 72 · 2021: 37 · 2020: 2
FWCI
32.32
Type
journal article
Language
en
Open access
Locations
  • BMC Medical Research Methodology (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion, cc-by)
  • VU Research Portal (publishedVersion, other-oa)
  • Pure Amsterdam UMC (submittedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion)
  • Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion, cc-by)
  • Research Publications (Maastricht University) (submittedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (91617098)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
  • Social Sciences › Sociology and Political Science › Delphi Technique in Research
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Keywords
COSMIN, risk of bias, reliability statistics, measurement error, outcome measurement instruments, clinician-reported outcomes, performance-based outcome measures, laboratory parameters, study quality assessment, Delphi consensus, measurement properties
MeSH terms
Delphi Technique, Humans, Reproducibility of Results, Bias, Consensus

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