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

Da a A icle A da ase o heal hca e sys ems o c oss-e ficiency e alua ion in he p esence o flexible measu e Sepideh Abolghasem a , * , Mehdi Toloo b , San iago Am ezqui a a a Depa men o Indus ial Enginee ing, Uni e sidad de los Andes, Bogo  a, Colombia b Depa men o Sys ems Enginee ing, Facul y o Economics, V  SB-Technical Uni e si y o Os a a, Czech Republic a icle in o A icle his o y: Recei ed 24 Feb ua y 2019 Recei ed in e ised o m 2 June 2019 Accep ed 1 July 2019 A ailable online 6 July 2019 Keywo ds: Heal hca e sys em E ficiency measu e Da a en elopmen analysis abs ac This a icle p esen s he da ase o he heal hca e sys ems indica o s o 120 coun ies du ing 2010e2017, which is ela ed o he esea ch a icle “C oss-e ficiency e alua ion in he p esence o flexible measu es wi h an applica ion o heal hca e sys ems”[1]. The da a is collec ed om he Wo ld Bank and selec ed o he 120 coun ies. Depending on hei ole in he pe o mance o he heal hca e sys ems, he indica o s a e ca ego ized in o inpu (I), ou pu (O) and flexible measu e (FM) whe e he FM measu e can play ei he ole o inpu o ou pu in he heal hca e sys em. The da ase can be used o pe o m e ficiency as well as c oss- e ficiency analysis o he heal hca e sys ems using me hods such as da a en elopmen analysis (DEA) in he p esence o flexible measu e. ©2019 The Au ho s. Published by Else ie Inc. This is an open access a icle unde he CC BY license (h p://c ea i ecommons. o g/licenses/by/4.0/). 1. Da a The da a comp ises a ious indica o s o he heal hca e sys ems in 120 coun ies which a e selec ed acco ding o hei a ailabili y o he da a in he Wo ld Bank [2] du ing 2010e2017. The dis ibu ion o *Co esponding au ho . E-mail add esses: ag.sepideh1[email p o ec ed],[email p o ec ed] (S. Abolghasem). Con en s lis s a ailable a ScienceDi ec Da a in b ie jou nal homepage: www.else ie .com/loca e/dib h ps://doi.o g/10.1016/j.dib.2019.104239 2352-3409/©2019 The Au ho s. Published by Else ie Inc. This is an open access a icle unde he CC BY license (h p:// c ea i ecommons.o g/licenses/by/4.0/). Da a in b ie 25 (2019) 104239 he selec ed coun ies among he con inen s is shown in Fig. 1. The indica o s and hei ype: inpu (I), ou pu (O), o flexible measu e (FM), as well as he summa y o desc ip i e s a is ics o he indica o s, a e p o ided in Tables 1e6 o each con inen . 2. Expe imen al design, ma e ials and me hods The da a o he heal hca e sys ems was collec ed om he Wo ld Bank [2] con aining in o ma ion o di e en indica o s. Then acco ding o he a ailabili y o he in o ma ion du ing 2010e2017, he da ase was selec ed and compiled o he 120 coun ies. The coun ies a e a anged in he ascending o de o hei Decision-Making Uni iden i y (DMU ID) in he fi s column. The DMU ID, s a ing om 1 o 120, co esponds o he coun y name o ganized in alphabe ical o de . Subsequen ly, o he pe - o mance analysis o he heal hca e sys ems using he da a en elopmen analysis (DEA) me hodology, he indica o s a e ca ego ized in o inpu (I), ou pu (O), and flexible measu e (FM) acco ding o Fig. 2. The heal hca e sys em measu es we e di ided in o h ee ca ego ies based on hei ole in he pe o mance o he heal hca e sys em. The popula ion, specialis su gical, bi h a e, o al e ili y a e, hospi al beds, nu ses and midwi es, physicians we e ca ego ized as he inpu o he s udy and mo - ali y was ea ed as he ou pu . The a o emen ioned ca ego iza ion is in acco dance wi h simila s udies on he heal hca e sys em pe o mance in li e a u e [3]. The ca ego iza ion o he indica o s was done acco ding o hei na u al impac on he pe o mance o he heal hca e sys em. Fo ins ance, popula ion, bi h a e and o al e ili y a e we e ca ego ized as inpu since i is supposed ha lowe le el o popula ion, bi h a e, and e ili y a e esul s in be e housing, nu i ion, and access o heal hca e. Besides, we ca ego ized specialis su gical, hospi al beds, nu ses and midwi es, and physicians as inpu since i is p e e ed ha he heal hca e sys em achie e he maximum pe o mance equi ing he minimum numbe o specialis su gical wo k o ce, hospi al beds, nu ses and midwi es, and physicians. Mo ali y was selec ed as he ou pu o he heal hca e sys em as by defini ion i is conside ed o be a di ec measu e on he pe o mance o he heal hca e sys em and finally, li e expec ancy was ca ego ized as he only flexible measu e o he s udy. Specifica ions able Subjec a ea Ope a ions esea ch and managemen science Mo e specific subjec a ea Da a en elopmen analysis Type o da a Table How da a was acqui ed Using a mac o de eloped in Excel Visual Basic o acqui e da a which is a ailable on Wo ld bank open da a Da a o ma Raw, analyzed wi h desc ip i e and s a is ical da a Expe imen al ac o s The mos upda ed da a o heal hca e sys ems o 120 coun ies a ailable om 2010 o 2017. Expe imen al ea u es indica o s o in e es we e selec ed and colla ed. Da a sou ce loca ion Global da a Da a accessibili y Da a is wi hin his a icle and also accessible om he da abase o he Wo ld Bank open da a: h ps:// da a.wo ldbank.o g Rela ed esea ch a icle S. Abolghasem, M. Toloo, S. Am ezqui a, “C oss-e ficiency e alua ion in he p esence o flexible measu es wi h an applica ion o heal hca e sys ems,”Heal h Ca e Manag. Sc., 2019, 1e22 [1]. Value o he da a The aw da a con ains he indica o s o heal hca e sys ems o 120 coun ies selec ed du ing 2010e2017, which can be used o pe o mance assessmen o he coun ies in e ms o hei e ficiency in hei heal hca e sys em in compa ison o hei pee s. The p o ided da a is use ul o decision make s o pe o m e ficiency analysis using me hodologies such as da a en el- opmen analysis on he heal hca e sys ems o he 120 coun ies. The da a is wo hwhile o he esea che s o e ficiency as well as c oss-e ficiency e alua ion o he heal hca e sys ems o he 120 coun ies unde conside a ion. The da a is use ul o e alua e a wide ange o e ficiency measu es o he 120 coun ies unde conside a ion besides compa a i e analysis o con inen al pe o mance and beyond. S. Abolghasem e al. / Da a in b ie 25 (2019) 1042392 Fig. 1. Dis ibu ion o coun ies wi hin he con inen s. Table 1 Desc ip i e s a is ics o inpu s, ou pu s and flexible measu es o A ica. Mean S d. De . Min Max Inpu s Popula ion 32237224.5 38877689.9 94677 185989640 Specialis su gical 5.41 11.96 0.17 50.08 Bi h a e 33.35 8.93 10.40 48.14 To al Fe ili y Ra e 4.43 1.38 1.40 7.24 Hospi al beds 1.39 1.27 0.10 6.30 Nu ses and midwi es 1.19 1.34 0.08 5.23 Physicians 0.45 0.80 0.02 3.06 Ou pu Mo ali y 0.52 0.18 0.32 0.93 Flexible Measu e Li e expec ancy 62.84 6.54 52.17 75.82 Table 2 Desc ip i e s a is ics o inpu s, ou pu s and flexible measu es o Asia. Mean S d. De . Min Max Inpu s Popula ion 86283051.8 247794083.2 427756 1324171354 Specialis su gical 36.21 36.03 0.03 125.01 Bi h a e 19.61 6.82 7.80 33.21 To al Fe ili y Ra e 2.41 0.84 1.24 4.64 Hospi al beds 4.08 3.61 0.50 13.70 Nu ses and midwi es 4.15 3.28 0.24 12.50 Physicians 1.84 1.25 0.08 4.78 Ou pu Mo ali y 0.83 0.10 0.43 0.97 Flexible Measu e Li e expec ancy 72.99 5.45 61.16 83.98 S. Abolghasem e al. / Da a in b ie 25 (2019) 104239 3 I is no ewo hy ha ega ding he selec ed inpu , we pe o med a Pea son co ela ion analysis, which is a measu e o he s eng h o he associa ion among he measu es. The esul s o he co e- la ion analysis e ealed no co ela ion among he inpu s. I should be no ed ha wi h he aim o p e en scaling p oblems o he da a, we ans o med all he da a, by di iding each alue o he da a se by he maximum alue o he co esponding indica o . Las ly, we would like o confi m ha he p o ided da a excludes any ype o s a is ical o scaling o ien ed modifica ion o he da a. The a o emen ioned modifica ions such as s anda diza ion o he da a was pe o med o he analysis execu ed in he main manusc ip and a e no eflec ed in he da a able p o ided he e. Table 3 Desc ip i e s a is ics o inpu s, ou pu s and flexible measu es o Eu ope. Mean S d. De . Min Max Inpu s Popula ion 20949260.07 32028667.21 437418 144342396 Specialis su gical 88.86 31.50 0.81 166.81 Bi h a e 10.59 1.28 7.80 32.22 To al Fe ili y Ra e 1.57 0.20 1.24 4.10 Hospi al beds 5.44 2.13 0.60 11.30 Nu ses and midwi es 8.69 3.99 0.70 18.23 Physicians 3.50 0.94 0.31 6.26 Ou pu Mo ali y 0.96 0.02 0.75 0.99 Flexible Measu e Li e expec ancy 78.82 3.84 64.74 82.90 Table 4 Desc ip i e s a is ics o inpu s, ou pu s and flexible measu es o No h Ame ica. Mean S d. De . Min Max Inpu s Popula ion 26023144.56 79772622.31 100963 45004645 Specialis su gical 19.37 12.80 3.40 113.12 Bi h a e 17.18 4.61 10.30 25.27 To al Fe ili y Ra e 2.12 0.45 1.40 2.97 Hospi al beds 2.28 1.56 0.60 9.00 Nu ses and midwi es 3.21 2.92 0.10 11.88 Physicians 1.05 0.80 0.10 4.19 Ou pu Mo ali y 0.86 0.07 0.69 0.96 Flexible Measu e Li e expec ancy 74.76 4.38 63.33 82.30 Table 5 Desc ip i e s a is ics o inpu s, ou pu s and flexible measu es o Oceania. Mean S d. De . Min Max Inpu s Popula ion 1442360.63 2715989.62 109643 323127513 Specialis su gical 3.70 2.00 2.30 54.71 Bi h a e 26.69 4.51 12.40 28.71 To al Fe ili y Ra e 3.76 0.84 1.75 3.85 Hospi al beds 2.49 1.68 1.30 5.20 Nu ses and midwi es 2.35 1.37 0.53 9.88 Physicians 0.32 0.27 0.06 2.57 Ou pu Mo ali y 0.77 0.12 0.66 0.95 Flexible Measu e Li e expec ancy 70.24 3.24 65.54 78.69 S. Abolghasem e al. / Da a in b ie 25 (2019) 1042394 Acknowledgemen s This esea ch was suppo ed by he 2019 g an o he school o enginee ing a Uni e sidad de los Andes Bogo  a, Colombia and he Czech Science Founda ion h ough p ojec No. 17-23495S. Conflic o in e es None. Appendix A. Supplemen a y da a Supplemen a y da a o his a icle can be ound online a h ps://doi.o g/10.1016/j.dib.2019.104239. Re e ences [1] S. Abolghashem, M. Toloo, S. Am ezqui a, C oss-e ficiency e alua ion in he p esence o flexible measu es wi h an appli- ca ion o heal hca e sys ems, Heal h Ca e Manag. Sci. (2019) 1e22. [2] The Wo ld Bank, 2018. h ps://da a.wo ldbank.o g/. [3] L. Asandului, M. Roman, P. Fa ulescu, The e ficiency o heal hca e sys ems in Eu ope: a da a en elopmen analysis app oach, P ocedia Econ. Financ. 10 (2014) 261e268, h ps://doi.o g/10.1016/S2212-5671(14)00301-3. Table 6 Desc ip i e s a is ics o inpu s, ou pu s and flexible measu es o Sou h Ame ica. Mean S d. De . Min Max Inpu s Popula ion 43378930.22 64011970.53 107122 207652865 Specialis su gical 27.97 17.59 0.58 61.12 Bi h a e 17.87 2.79 14.16 35.05 To al Fe ili y Ra e 2.23 0.30 1.73 5.50 Hospi al beds 2.04 1.10 1.00 5.90 Nu ses and midwi es 2.68 2.47 1.08 7.44 Physicians 1.95 1.19 0.08 3.91 Ou pu Mo ali y 0.86 0.05 0.56 0.90 Flexible Measu e Li e expec ancy 74.38 3.19 68.88 76.58 Fig. 2. Inpu , ou pu , and flexible measu es wi h coun ies as DMUs. S. Abolghasem e al. / Da a in b ie 25 (2019) 104239 5