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

Sepideh Abolghasem; Mehdi Toloo; Santiago Amézquita

doi:10.1016/j.dib.2019.104239

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

Sepideh Abolghasem^*, Mehdi Toloo, Santiago Amézquita

^*Corresponding author for this work

Mechanical and Industrial Engineering

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

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.

Original language	English
Article number	104239
Journal	Data in Brief
Volume	25
DOIs	https://doi.org/10.1016/j.dib.2019.104239
Publication status	Published - Aug 2019

Keywords

Data envelopment analysis
Efficiency measure
Healthcare system

ASJC Scopus subject areas

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10.1016/j.dib.2019.104239

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title = "A dataset of healthcare systems for cross-efficiency evaluation in the presence of flexible measure",

abstract = "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.",

keywords = "Data envelopment analysis, Efficiency measure, Healthcare system",

author = "Sepideh Abolghasem and Mehdi Toloo and Santiago Am{\'e}zquita",

note = "Funding Information: This research was supported by the 2019 grant of the school of engineering at Universidad de los Andes Bogot{\'a}, Colombia and the Czech Science Foundation through project No. 17-23495S . Funding Information: This research was supported by the 2019 grant of the school of engineering at Universidad de los Andes Bogot?, Colombia and the Czech Science Foundation through project No. 17-23495S. Publisher Copyright: {\textcopyright} 2019 The Authors",

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volume = "25",

journal = "Data in Brief",

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AU - Amézquita, Santiago

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PY - 2019/8

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N2 - 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.

AB - 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.

KW - Data envelopment analysis

KW - Efficiency measure

KW - Healthcare system

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

Abstract

Keywords

ASJC Scopus subject areas

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