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.

Department of Industrial Engineering Universidad de los Andes Bogotá Colombia

Department of Systems Engineering Faculty of Economics VŠB Technical University of Ostrava Czech Republic

000      

00000naa a2200000 a 4500

001      

bmc19035870

003      

CZ-PrNML

005      

20210209124527.0

007      

ta

008      

191007s2019 ne f 000 0|eng||

009      

AR

024    7_

$a 10.1016/j.dib.2019.104239 $2 doi

035    __

$a (PubMed)31367665

040    __

$a ABA008 $b cze $d ABA008 $e AACR2

041    0_

$a eng

044    __

$a ne

100    1_

$a Abolghasem, Sepideh $u Department of Industrial Engineering, Universidad de los Andes, Bogotá, Colombia.

245    12

$a A dataset of healthcare systems for cross-efficiency evaluation in the presence of flexible measure / $c S. Abolghasem, M. Toloo, S. Amézquita,

520    9_

$a 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.

655    _2

$a časopisecké články $7 D016428

700    1_

$a Toloo, Mehdi $u Department of Systems Engineering, Faculty of Economics, VŠB-Technical University of Ostrava, Czech Republic.

700    1_

$a Amézquita, Santiago $u Department of Industrial Engineering, Universidad de los Andes, Bogotá, Colombia.

773    0_

$w MED00188041 $t Data in brief $x 2352-3409 $g Roč. 25, č. - (2019), s. 104239

856    41

$u https://pubmed.ncbi.nlm.nih.gov/31367665 $y Pubmed

910    __

$a ABA008 $b sig $c sign $y a $z 0

990    __

$a 20191007 $b ABA008

991    __

$a 20210209124523 $b ABA008

999    __

$a ind $b bmc $g 1452530 $s 1074420

BAS    __

$a 3

BAS    __

$a PreBMC

BMC    __

$a 2019 $b 25 $c - $d 104239 $e 20190706 $i 2352-3409 $m Data in brief $n Data Brief $x MED00188041

LZP    __

$a Pubmed-20191007