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

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 rel...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712525/
https://www.ncbi.nlm.nih.gov/pubmed/33267819
http://dx.doi.org/10.1186/s12874-020-01179-5
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author 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.
author_facet 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.
author_sort Mokkink, L. B.
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-020-01179-5.
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spelling pubmed-77125252020-12-03 COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study 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. BMC Med Res Methodol Research Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-020-01179-5. BioMed Central 2020-12-03 /pmc/articles/PMC7712525/ /pubmed/33267819 http://dx.doi.org/10.1186/s12874-020-01179-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
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.
COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study
title COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study
title_full COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study
title_fullStr COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study
title_full_unstemmed COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study
title_short COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study
title_sort cosmin risk of bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a delphi study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712525/
https://www.ncbi.nlm.nih.gov/pubmed/33267819
http://dx.doi.org/10.1186/s12874-020-01179-5
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