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Assessing hospital performance indicators. What dimensions? Evidence from an umbrella review

BACKGROUND: Patients’ increasing needs and expectations require an overall assessment of hospital performance. Several international agencies have defined performance indicators sets but there exists no unanimous classification. The Impact HTA Horizon2020 Project wants to address this aspect, develo...

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Autores principales: Carini, Elettra, Gabutti, Irene, Frisicale, Emanuela Maria, Di Pilla, Andrea, Pezzullo, Angelo Maria, de Waure, Chiara, Cicchetti, Americo, Boccia, Stefania, Specchia, Maria Lucia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663881/
https://www.ncbi.nlm.nih.gov/pubmed/33183304
http://dx.doi.org/10.1186/s12913-020-05879-y
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author Carini, Elettra
Gabutti, Irene
Frisicale, Emanuela Maria
Di Pilla, Andrea
Pezzullo, Angelo Maria
de Waure, Chiara
Cicchetti, Americo
Boccia, Stefania
Specchia, Maria Lucia
author_facet Carini, Elettra
Gabutti, Irene
Frisicale, Emanuela Maria
Di Pilla, Andrea
Pezzullo, Angelo Maria
de Waure, Chiara
Cicchetti, Americo
Boccia, Stefania
Specchia, Maria Lucia
author_sort Carini, Elettra
collection PubMed
description BACKGROUND: Patients’ increasing needs and expectations require an overall assessment of hospital performance. Several international agencies have defined performance indicators sets but there exists no unanimous classification. The Impact HTA Horizon2020 Project wants to address this aspect, developing a toolkit of key indicators to measure hospital performance. The aim of this review is to identify and classify the dimensions of hospital performance indicators in order to develop a common language and identify a shared evidence-based way to frame and address performance assessment. METHODS: Following the PRISMA statement, PubMed, Cochrane Library and Web of Science databases were queried to perform an umbrella review. Reviews focusing on hospital settings, published January 2000–June 2019 were considered. The quality of the studies selected was assessed using the AMSTAR2 tool. RESULTS: Six reviews ranging 2002–2014 were included. The following dimensions were described in at least half of the studies: 6 studies classified efficiency (55 indicators analyzed); 5 studies classified effectiveness (13 indicators), patient centeredness (10 indicators) and safety (8 indicators); 3 studies responsive governance (2 indicators), staff orientation (10 indicators) and timeliness (4 indicators). Three reviews did not specify the indicators related to the dimensions listed, and one article gave a complete definition of the meaning of each dimension and of the related indicators. CONCLUSIONS: The research shows emphasis of the importance of patient centeredness, effectiveness, efficiency, and safety dimensions. Especially, greater attention is given to the dimensions of effectiveness and efficiency. Assessing the overall quality of clinical pathways is key in guaranteeing a truly effective and efficient system but, to date, there still exists a lack of awareness and proactivity in terms of measuring performance of nodes within networks. The effort of classifying and systematizing performance measurement techniques across hospitals is essential at the organizational, regional/national and possibly international levels to deliver top quality care to patients.
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spelling pubmed-76638812020-11-13 Assessing hospital performance indicators. What dimensions? Evidence from an umbrella review Carini, Elettra Gabutti, Irene Frisicale, Emanuela Maria Di Pilla, Andrea Pezzullo, Angelo Maria de Waure, Chiara Cicchetti, Americo Boccia, Stefania Specchia, Maria Lucia BMC Health Serv Res Research Article BACKGROUND: Patients’ increasing needs and expectations require an overall assessment of hospital performance. Several international agencies have defined performance indicators sets but there exists no unanimous classification. The Impact HTA Horizon2020 Project wants to address this aspect, developing a toolkit of key indicators to measure hospital performance. The aim of this review is to identify and classify the dimensions of hospital performance indicators in order to develop a common language and identify a shared evidence-based way to frame and address performance assessment. METHODS: Following the PRISMA statement, PubMed, Cochrane Library and Web of Science databases were queried to perform an umbrella review. Reviews focusing on hospital settings, published January 2000–June 2019 were considered. The quality of the studies selected was assessed using the AMSTAR2 tool. RESULTS: Six reviews ranging 2002–2014 were included. The following dimensions were described in at least half of the studies: 6 studies classified efficiency (55 indicators analyzed); 5 studies classified effectiveness (13 indicators), patient centeredness (10 indicators) and safety (8 indicators); 3 studies responsive governance (2 indicators), staff orientation (10 indicators) and timeliness (4 indicators). Three reviews did not specify the indicators related to the dimensions listed, and one article gave a complete definition of the meaning of each dimension and of the related indicators. CONCLUSIONS: The research shows emphasis of the importance of patient centeredness, effectiveness, efficiency, and safety dimensions. Especially, greater attention is given to the dimensions of effectiveness and efficiency. Assessing the overall quality of clinical pathways is key in guaranteeing a truly effective and efficient system but, to date, there still exists a lack of awareness and proactivity in terms of measuring performance of nodes within networks. The effort of classifying and systematizing performance measurement techniques across hospitals is essential at the organizational, regional/national and possibly international levels to deliver top quality care to patients. BioMed Central 2020-11-12 /pmc/articles/PMC7663881/ /pubmed/33183304 http://dx.doi.org/10.1186/s12913-020-05879-y 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
Carini, Elettra
Gabutti, Irene
Frisicale, Emanuela Maria
Di Pilla, Andrea
Pezzullo, Angelo Maria
de Waure, Chiara
Cicchetti, Americo
Boccia, Stefania
Specchia, Maria Lucia
Assessing hospital performance indicators. What dimensions? Evidence from an umbrella review
title Assessing hospital performance indicators. What dimensions? Evidence from an umbrella review
title_full Assessing hospital performance indicators. What dimensions? Evidence from an umbrella review
title_fullStr Assessing hospital performance indicators. What dimensions? Evidence from an umbrella review
title_full_unstemmed Assessing hospital performance indicators. What dimensions? Evidence from an umbrella review
title_short Assessing hospital performance indicators. What dimensions? Evidence from an umbrella review
title_sort assessing hospital performance indicators. what dimensions? evidence from an umbrella review
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663881/
https://www.ncbi.nlm.nih.gov/pubmed/33183304
http://dx.doi.org/10.1186/s12913-020-05879-y
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