A dataset of healthcare systems for cross-efficiency evaluation in the presence of flexible measure

This article presents the dataset of the healthcare systems indicators of 120 countries during 2010–2017, which is related to the research article “Cross-efficiency evaluation in the presence of flexible measures with an application to healthcare systems” [1]. The data is collected from the World Ba...

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Detalles Bibliográficos
Autores principales: Abolghasem, Sepideh, Toloo, Mehdi, Amézquita, Santiago
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Decision Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646926/
https://www.ncbi.nlm.nih.gov/pubmed/31367665
http://dx.doi.org/10.1016/j.dib.2019.104239
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author Abolghasem, Sepideh
Toloo, Mehdi
Amézquita, Santiago
author_facet Abolghasem, Sepideh
Toloo, Mehdi
Amézquita, Santiago
author_sort Abolghasem, Sepideh
collection PubMed
description This article presents the dataset of the healthcare systems indicators of 120 countries during 2010–2017, which is related to the research article “Cross-efficiency evaluation in the presence of flexible measures with an application to healthcare systems” [1]. The data is collected from the World Bank and selected for the 120 countries. Depending on their role in the performance of the healthcare systems, the indicators are categorized into input (I), output (O) and flexible measure (FM) where the FM measure can play either role of input or output in the healthcare system. The dataset can be used to perform efficiency as well as cross-efficiency analysis of the healthcare systems using methods such as data envelopment analysis (DEA) in the presence of flexible measure.
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spelling pubmed-66469262019-07-31 A dataset of healthcare systems for cross-efficiency evaluation in the presence of flexible measure Abolghasem, Sepideh Toloo, Mehdi Amézquita, Santiago Data Brief Decision Science This article presents the dataset of the healthcare systems indicators of 120 countries during 2010–2017, which is related to the research article “Cross-efficiency evaluation in the presence of flexible measures with an application to healthcare systems” [1]. The data is collected from the World Bank and selected for the 120 countries. Depending on their role in the performance of the healthcare systems, the indicators are categorized into input (I), output (O) and flexible measure (FM) where the FM measure can play either role of input or output in the healthcare system. The dataset can be used to perform efficiency as well as cross-efficiency analysis of the healthcare systems using methods such as data envelopment analysis (DEA) in the presence of flexible measure. Elsevier 2019-07-06 /pmc/articles/PMC6646926/ /pubmed/31367665 http://dx.doi.org/10.1016/j.dib.2019.104239 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Decision Science
Abolghasem, Sepideh
Toloo, Mehdi
Amézquita, Santiago
A dataset of healthcare systems for cross-efficiency evaluation in the presence of flexible measure
title A dataset of healthcare systems for cross-efficiency evaluation in the presence of flexible measure
title_full A dataset of healthcare systems for cross-efficiency evaluation in the presence of flexible measure
title_fullStr A dataset of healthcare systems for cross-efficiency evaluation in the presence of flexible measure
title_full_unstemmed A dataset of healthcare systems for cross-efficiency evaluation in the presence of flexible measure
title_short A dataset of healthcare systems for cross-efficiency evaluation in the presence of flexible measure
title_sort dataset of healthcare systems for cross-efficiency evaluation in the presence of flexible measure
topic Decision Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646926/
https://www.ncbi.nlm.nih.gov/pubmed/31367665
http://dx.doi.org/10.1016/j.dib.2019.104239
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