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Measuring with quality: the example of person-centred care

Qualitative data analysis should be embedded in routine health service measurement, management and organizational practices. The rigorous use of such analyses should become an institutional norm, comparable to the routine use of quantitative data. Our case is intended to have general relevance, but...

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Detalles Bibliográficos
Autores principales: Cribb, Alan, Woodcock, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950715/
https://www.ncbi.nlm.nih.gov/pubmed/35234545
http://dx.doi.org/10.1177/13558196211054278
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author Cribb, Alan
Woodcock, Thomas
author_facet Cribb, Alan
Woodcock, Thomas
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description Qualitative data analysis should be embedded in routine health service measurement, management and organizational practices. The rigorous use of such analyses should become an institutional norm, comparable to the routine use of quantitative data. Our case is intended to have general relevance, but we develop it by reference to person-centred care and patient-centred outcome measures (PCOMs). The increased use of qualitative data analysis of individualized PCOMs is a crucial complementary counterweight to steps towards the standardization of PCOMs. More broadly, our argument is that health care organizations cannot make confident judgements about whether they are offering appropriate care without collecting qualitative data on what matters to individual patients. Introducing properly supported and conducted qualitative data analyses is important in its own right, and also helps underpin the validity and usefulness of quantitative measurement.
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spelling pubmed-89507152022-03-26 Measuring with quality: the example of person-centred care Cribb, Alan Woodcock, Thomas J Health Serv Res Policy Concepts/Methods Article Qualitative data analysis should be embedded in routine health service measurement, management and organizational practices. The rigorous use of such analyses should become an institutional norm, comparable to the routine use of quantitative data. Our case is intended to have general relevance, but we develop it by reference to person-centred care and patient-centred outcome measures (PCOMs). The increased use of qualitative data analysis of individualized PCOMs is a crucial complementary counterweight to steps towards the standardization of PCOMs. More broadly, our argument is that health care organizations cannot make confident judgements about whether they are offering appropriate care without collecting qualitative data on what matters to individual patients. Introducing properly supported and conducted qualitative data analyses is important in its own right, and also helps underpin the validity and usefulness of quantitative measurement. SAGE Publications 2022-03-02 2022-04 /pmc/articles/PMC8950715/ /pubmed/35234545 http://dx.doi.org/10.1177/13558196211054278 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Concepts/Methods Article
Cribb, Alan
Woodcock, Thomas
Measuring with quality: the example of person-centred care
title Measuring with quality: the example of person-centred care
title_full Measuring with quality: the example of person-centred care
title_fullStr Measuring with quality: the example of person-centred care
title_full_unstemmed Measuring with quality: the example of person-centred care
title_short Measuring with quality: the example of person-centred care
title_sort measuring with quality: the example of person-centred care
topic Concepts/Methods Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950715/
https://www.ncbi.nlm.nih.gov/pubmed/35234545
http://dx.doi.org/10.1177/13558196211054278
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