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Composite measures of quality of health care: Evidence mapping of methodology and reporting

BACKGROUND: Quality indicators are used to quantify the quality of care. A large number of quality indicators makes assessment of overall quality difficult, time consuming and impractical. There is consequently an increasing interest for composite measures based on a combination of multiple indicato...

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Autores principales: Kara, Pinar, Valentin, Jan Brink, Mainz, Jan, Johnsen, Søren Paaske
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098058/
https://www.ncbi.nlm.nih.gov/pubmed/35552561
http://dx.doi.org/10.1371/journal.pone.0268320
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author Kara, Pinar
Valentin, Jan Brink
Mainz, Jan
Johnsen, Søren Paaske
author_facet Kara, Pinar
Valentin, Jan Brink
Mainz, Jan
Johnsen, Søren Paaske
author_sort Kara, Pinar
collection PubMed
description BACKGROUND: Quality indicators are used to quantify the quality of care. A large number of quality indicators makes assessment of overall quality difficult, time consuming and impractical. There is consequently an increasing interest for composite measures based on a combination of multiple indicators. OBJECTIVE: To examine the use of different approaches to construct composite measures of quality of care and to assess the use of methodological considerations and justifications. METHODS: We conducted a literature search on PubMed and EMBASE databases (latest update 1 December 2020). For each publication, we extracted information on the weighting and aggregation methodology that had been used to construct composite indicator(s). RESULTS: A total of 2711 publications were identified of which 145 were included after a screening process. Opportunity scoring with equal weights was the most used approach (86/145, 59%) followed by all-or-none scoring (48/145, 33%). Other approaches regarding aggregation or weighting of individual indicators were used in 32 publications (22%). The rationale for selecting a specific type of composite measure was reported in 36 publications (25%), whereas 22 papers (15%) addressed limitations regarding the composite measure. CONCLUSION: Opportunity scoring and all-or-none scoring are the most frequently used approaches when constructing composite measures of quality of care. The attention towards the rationale and limitations of the composite measures appears low. DISCUSSION: Considering the widespread use and the potential implications for decision-making of composite measures, a high level of transparency regarding the construction process of the composite and the functionality of the measures is crucial.
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spelling pubmed-90980582022-05-13 Composite measures of quality of health care: Evidence mapping of methodology and reporting Kara, Pinar Valentin, Jan Brink Mainz, Jan Johnsen, Søren Paaske PLoS One Research Article BACKGROUND: Quality indicators are used to quantify the quality of care. A large number of quality indicators makes assessment of overall quality difficult, time consuming and impractical. There is consequently an increasing interest for composite measures based on a combination of multiple indicators. OBJECTIVE: To examine the use of different approaches to construct composite measures of quality of care and to assess the use of methodological considerations and justifications. METHODS: We conducted a literature search on PubMed and EMBASE databases (latest update 1 December 2020). For each publication, we extracted information on the weighting and aggregation methodology that had been used to construct composite indicator(s). RESULTS: A total of 2711 publications were identified of which 145 were included after a screening process. Opportunity scoring with equal weights was the most used approach (86/145, 59%) followed by all-or-none scoring (48/145, 33%). Other approaches regarding aggregation or weighting of individual indicators were used in 32 publications (22%). The rationale for selecting a specific type of composite measure was reported in 36 publications (25%), whereas 22 papers (15%) addressed limitations regarding the composite measure. CONCLUSION: Opportunity scoring and all-or-none scoring are the most frequently used approaches when constructing composite measures of quality of care. The attention towards the rationale and limitations of the composite measures appears low. DISCUSSION: Considering the widespread use and the potential implications for decision-making of composite measures, a high level of transparency regarding the construction process of the composite and the functionality of the measures is crucial. Public Library of Science 2022-05-12 /pmc/articles/PMC9098058/ /pubmed/35552561 http://dx.doi.org/10.1371/journal.pone.0268320 Text en © 2022 Kara et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kara, Pinar
Valentin, Jan Brink
Mainz, Jan
Johnsen, Søren Paaske
Composite measures of quality of health care: Evidence mapping of methodology and reporting
title Composite measures of quality of health care: Evidence mapping of methodology and reporting
title_full Composite measures of quality of health care: Evidence mapping of methodology and reporting
title_fullStr Composite measures of quality of health care: Evidence mapping of methodology and reporting
title_full_unstemmed Composite measures of quality of health care: Evidence mapping of methodology and reporting
title_short Composite measures of quality of health care: Evidence mapping of methodology and reporting
title_sort composite measures of quality of health care: evidence mapping of methodology and reporting
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098058/
https://www.ncbi.nlm.nih.gov/pubmed/35552561
http://dx.doi.org/10.1371/journal.pone.0268320
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