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Manifesto: towards a clinically-oriented psychometrics

BACKGROUND: New technologies to collect patient - reported outcomes have substantially solved the challenge of integrating a questionnaire in a busy clinical practice. At Memorial Sloan Kettering, we have been collecting patient reported outcomes electronically for many years. Our experience confirm...

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Detalles Bibliográficos
Autores principales: Vickers, Andrew J., Chen, Ling Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5406935/
https://www.ncbi.nlm.nih.gov/pubmed/28446213
http://dx.doi.org/10.1186/s12955-017-0655-3
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author Vickers, Andrew J.
Chen, Ling Y.
author_facet Vickers, Andrew J.
Chen, Ling Y.
author_sort Vickers, Andrew J.
collection PubMed
description BACKGROUND: New technologies to collect patient - reported outcomes have substantially solved the challenge of integrating a questionnaire in a busy clinical practice. At Memorial Sloan Kettering, we have been collecting patient reported outcomes electronically for many years. Our experience confirms the predicted benefits of obtaining patient reported outcomes but has also raised serious concerns about whether instruments developed for the research setting are appropriate for routine clinical use. DISCUSSION: We summarize four principles for a clinically - relevant psychometrics. First, minimize patient burden: the use of a large number of items for a single domain may be of interest for research but additional items have little clinical utility. Secondly, use simplified language: patients who do not have good language skills are typically excluded from research studies but will nonetheless present in clinical practice. Third, avoid dumb questions: many questionnaire items are inappropriate when applied to a more general population. Fourth, what works for the group may not work for the individual: group level statistics used to validate survey instruments can obscure problems when applied to a subgroup of patients. CONCLUSION: There is a need for a clinically-oriented psychometrics to help design, test, and evaluate questionnaires that would be used in routine practice. Developing statistical methods to optimize questionnaires will be highly challenging but needed to bring the potential of patient reported outcomes into widespread clinical use.
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spelling pubmed-54069352017-04-27 Manifesto: towards a clinically-oriented psychometrics Vickers, Andrew J. Chen, Ling Y. Health Qual Life Outcomes Commentary BACKGROUND: New technologies to collect patient - reported outcomes have substantially solved the challenge of integrating a questionnaire in a busy clinical practice. At Memorial Sloan Kettering, we have been collecting patient reported outcomes electronically for many years. Our experience confirms the predicted benefits of obtaining patient reported outcomes but has also raised serious concerns about whether instruments developed for the research setting are appropriate for routine clinical use. DISCUSSION: We summarize four principles for a clinically - relevant psychometrics. First, minimize patient burden: the use of a large number of items for a single domain may be of interest for research but additional items have little clinical utility. Secondly, use simplified language: patients who do not have good language skills are typically excluded from research studies but will nonetheless present in clinical practice. Third, avoid dumb questions: many questionnaire items are inappropriate when applied to a more general population. Fourth, what works for the group may not work for the individual: group level statistics used to validate survey instruments can obscure problems when applied to a subgroup of patients. CONCLUSION: There is a need for a clinically-oriented psychometrics to help design, test, and evaluate questionnaires that would be used in routine practice. Developing statistical methods to optimize questionnaires will be highly challenging but needed to bring the potential of patient reported outcomes into widespread clinical use. BioMed Central 2017-04-26 /pmc/articles/PMC5406935/ /pubmed/28446213 http://dx.doi.org/10.1186/s12955-017-0655-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Commentary
Vickers, Andrew J.
Chen, Ling Y.
Manifesto: towards a clinically-oriented psychometrics
title Manifesto: towards a clinically-oriented psychometrics
title_full Manifesto: towards a clinically-oriented psychometrics
title_fullStr Manifesto: towards a clinically-oriented psychometrics
title_full_unstemmed Manifesto: towards a clinically-oriented psychometrics
title_short Manifesto: towards a clinically-oriented psychometrics
title_sort manifesto: towards a clinically-oriented psychometrics
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5406935/
https://www.ncbi.nlm.nih.gov/pubmed/28446213
http://dx.doi.org/10.1186/s12955-017-0655-3
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