Imprecise DEA framework for evaluating health-care performance of districts

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dc.authoridKarsak, E. Ertugrul/0000-0002-3921-6189|Karadayi, Melis Almula/0000-0002-6959-9168
dc.authorwosidKarsak, E. Ertugrul/AAB-2947-2020
dc.contributor.authorKarsak, E. Ertugrul
dc.contributor.authorKaradayi, Melis Almula
dc.date.accessioned2024-07-18T20:47:16Z
dc.date.available2024-07-18T20:47:16Z
dc.date.issued2017
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractPurpose - This paper aims to address performance measurement in the health-care sector, which gains increasing importance for most countries because growing health expenditures and increased quality and competition in the health sector require hospitals to use their resources efficiently. Health policy-makers and health-care managers stress the need for developing a robust performance evaluation methodology for health-care organizations. Design/methodology/approach - This paper presents an imprecise data envelopment analysis (DEA) framework for evaluating the health-care performance of 26 districts in Istanbul, a metropolis with nearly 15 million inhabitants. The proposed methodology takes into account both quantitative and qualitative data represented as linguistic variables for performance evaluation. Moreover, this study reckons that weight flexibility in DEA assessments can lead to unrealistic weighting schemes for some inputs and outputs, which are likely to result in overstated efficiency scores for a number of decision-making units (in here, districts). To overcome this problem, a weight restricted imprecise DEA model that constrains weight flexibility in DEA is proposed. Findings - The proposed imprecise DEA approach sets forth a more realistic decision methodology for evaluating the relative health-care performance and also enables to determine the best district in terms of health-care performance in Istanbul. Originality/value - This paper includes the quality dimension, which has been overlooked in previous studies, into the health-care performance evaluation of districts. Moreover, it circumvents unrealistic weight flexibility which may distort the relative evaluation of health-care performance.en_US
dc.identifier.doi10.1108/K-05-2015-0139
dc.identifier.endpage727en_US
dc.identifier.issn0368-492X
dc.identifier.issn1758-7883
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85016833960en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage706en_US
dc.identifier.urihttps://doi.org/10.1108/K-05-2015-0139
dc.identifier.urihttps://hdl.handle.net/11411/7754
dc.identifier.volume46en_US
dc.identifier.wosWOS:000401121400008en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Ltden_US
dc.relation.ispartofKybernetesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEfficiencyen_US
dc.subjectQualityen_US
dc.subjectPerformance Evaluationen_US
dc.subjectHealth-Care Performanceen_US
dc.subjectImprecise Deaen_US
dc.subjectWeight Restrictionsen_US
dc.subjectData Envelopment Analysisen_US
dc.subjectFlexible Manufacturing Systemsen_US
dc.subjectFuzzy Efficiency Measuresen_US
dc.subjectTechnical Efficiencyen_US
dc.subjectHospital Efficiencyen_US
dc.subjectWeight Flexibilityen_US
dc.subjectModelen_US
dc.subjectImpacten_US
dc.subjectScaleen_US
dc.subjectUnitsen_US
dc.titleImprecise DEA framework for evaluating health-care performance of districts
dc.typeArticle

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