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

^*المؤلف المقابل لهذا العمل

Mechanical and Industrial Engineering

نتاج البحث: المساهمة في مجلة › Article › مراجعة النظراء

4 اقتباسات (Scopus)

ملخص

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.

اللغة الأصلية	English
رقم المقال	104239
دورية	Data in Brief
مستوى الصوت	25
المعرِّفات الرقمية للأشياء	https://doi.org/10.1016/j.dib.2019.104239
حالة النشر	Published - أغسطس 2019

ASJC Scopus subject areas

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الوصول إلى المستند

10.1016/j.dib.2019.104239

الملفات والروابط الأخرى

قم بذكر هذا

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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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doi = "10.1016/j.dib.2019.104239",

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journal = "Data in Brief",

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AU - Abolghasem, Sepideh

AU - Toloo, Mehdi

AU - Amézquita, Santiago

N1 - Funding Information: This research was supported by the 2019 grant of the school of engineering at Universidad de los Andes Bogotá, 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: © 2019 The Authors

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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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