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An evidence-based framework to measure quality of allied health care

BACKGROUND: There is no standard way of describing the complexities of allied health (AH) care, or its quality. AH is an umbrella term which excludes medicine and nursing, and variably includes disciplines which provide therapy, diagnostic, or scientific services. This paper outlines a framework for...

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Autores principales: Grimmer, Karen, Lizarondo, Lucylynn, Kumar, Saravana, Bell, Erica, Buist, Michael, Weinstein, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015500/
https://www.ncbi.nlm.nih.gov/pubmed/24571857
http://dx.doi.org/10.1186/1478-4505-12-10
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author Grimmer, Karen
Lizarondo, Lucylynn
Kumar, Saravana
Bell, Erica
Buist, Michael
Weinstein, Philip
author_facet Grimmer, Karen
Lizarondo, Lucylynn
Kumar, Saravana
Bell, Erica
Buist, Michael
Weinstein, Philip
author_sort Grimmer, Karen
collection PubMed
description BACKGROUND: There is no standard way of describing the complexities of allied health (AH) care, or its quality. AH is an umbrella term which excludes medicine and nursing, and variably includes disciplines which provide therapy, diagnostic, or scientific services. This paper outlines a framework for a standard approach to evaluate the quality of AH therapy services. METHODS: A realist synthesis framework describing what AH does, how it does it, and what is achieved, was developed. This was populated by the findings of a systematic review of literature published since 1980 reporting concepts of quality relevant to AH. Articles were included on quality measurement concepts, theories, debates, and/or hypothetical frameworks. RESULTS: Of 139 included articles, 21 reported on descriptions of quality potentially relevant to AH. From these, 24 measures of quality were identified, with 15 potentially relating to what AH does, 17 to how AH delivers care, 8 relating to short term functional outcomes, and 9 relating to longer term functional and health system outcomes. CONCLUSIONS: A novel evidence-based quality framework was proposed to address the complexity of AH therapies. This should assist in better evaluation of AH processes and outcomes, costs, and evidence-based engagement of AH providers in healthcare teams.
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spelling pubmed-40155002014-05-10 An evidence-based framework to measure quality of allied health care Grimmer, Karen Lizarondo, Lucylynn Kumar, Saravana Bell, Erica Buist, Michael Weinstein, Philip Health Res Policy Syst Review BACKGROUND: There is no standard way of describing the complexities of allied health (AH) care, or its quality. AH is an umbrella term which excludes medicine and nursing, and variably includes disciplines which provide therapy, diagnostic, or scientific services. This paper outlines a framework for a standard approach to evaluate the quality of AH therapy services. METHODS: A realist synthesis framework describing what AH does, how it does it, and what is achieved, was developed. This was populated by the findings of a systematic review of literature published since 1980 reporting concepts of quality relevant to AH. Articles were included on quality measurement concepts, theories, debates, and/or hypothetical frameworks. RESULTS: Of 139 included articles, 21 reported on descriptions of quality potentially relevant to AH. From these, 24 measures of quality were identified, with 15 potentially relating to what AH does, 17 to how AH delivers care, 8 relating to short term functional outcomes, and 9 relating to longer term functional and health system outcomes. CONCLUSIONS: A novel evidence-based quality framework was proposed to address the complexity of AH therapies. This should assist in better evaluation of AH processes and outcomes, costs, and evidence-based engagement of AH providers in healthcare teams. BioMed Central 2014-02-26 /pmc/articles/PMC4015500/ /pubmed/24571857 http://dx.doi.org/10.1186/1478-4505-12-10 Text en Copyright © 2014 Grimmer et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Review
Grimmer, Karen
Lizarondo, Lucylynn
Kumar, Saravana
Bell, Erica
Buist, Michael
Weinstein, Philip
An evidence-based framework to measure quality of allied health care
title An evidence-based framework to measure quality of allied health care
title_full An evidence-based framework to measure quality of allied health care
title_fullStr An evidence-based framework to measure quality of allied health care
title_full_unstemmed An evidence-based framework to measure quality of allied health care
title_short An evidence-based framework to measure quality of allied health care
title_sort evidence-based framework to measure quality of allied health care
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015500/
https://www.ncbi.nlm.nih.gov/pubmed/24571857
http://dx.doi.org/10.1186/1478-4505-12-10
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