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dc.contributor.authorAntunes, J.J.M.
dc.contributor.authorHadi-Vencheh, A.
dc.contributor.authorJamshidi, A.
dc.contributor.authorTan, Yong
dc.contributor.authorWanke, P.F.
dc.date.accessioned2023-03-24T11:47:00Z
dc.date.accessioned2023-03-29T09:08:25Z
dc.date.available2023-03-24T11:47:00Z
dc.date.available2023-03-29T09:08:25Z
dc.date.issued2023-08
dc.identifier.citationAntunes J, Hadi-Vencheh A, Jamshidi A et al (2023) TEA-IS: A hybrid DEA-TOPSIS approach for assessing performance and synergy in Chinese health care. Decision Support Systems. 171: 113916.en_US
dc.identifier.urihttp://hdl.handle.net/10454/19381
dc.descriptionYes
dc.description.abstractThis paper presents an assessment of the Chinese healthcare system in 31 provinces for a 10-year period in light of relevant physical and human resource variables. First, a novel TEA-IS (Trigonometric Envelopment Analysis for Ideal Solutions) model is developed to assess healthcare efficiency at the province level. Machine learning methods are also employed to predict high-low performance and the synergistic Chinese healthcare province in terms of contextual variables. The results indicate that synergy has played a pivotal role in the Chinese healthcare systems, not only by triggering higher performance levels due to the progressive adoption of best practices over the course of time, but also by being closely related to different socioeconomic and demographic variables, such as the illiteracy rate. It is possible to claim that healthcare performance has remained stable in China over the past two decades, performance and synergy at the province level are still heterogeneous.en_US
dc.language.isoenen_US
dc.rights2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.subjectChinese provinces
dc.subjectHealth care
dc.subjectPerformance and synergy
dc.subjectHybrid DEA-TOPSIS
dc.subjectTEA-IS
dc.titleTEA-IS: A hybrid DEA-TOPSIS approach for assessing performance and synergy in Chinese health careen_US
dc.status.refereedYes
dc.date.Accepted25/12/2022
dc.date.application04/01/2023
dc.typeArticle
dc.type.versionPublished version
dc.identifier.doihttps://doi.org/10.1016/j.dss.2022.113916
dc.rights.licenseCC-BYen_US
dc.date.updated2023-03-24T11:47:02Z
refterms.dateFOA2023-03-29T09:16:11Z
dc.openaccess.statusopenAccess


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