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dc.contributor.authorOrtiz Barrios, Miguel Ángelspa
dc.contributor.authorGutiérrez‐Severiche, Edwardspa
dc.contributor.authorCómbita‐Niño, Dayanaspa
dc.contributor.authorJiménez, Genettspa
dc.contributor.authorIshizaka, Alessiospa
dc.contributor.authorBarbati, Maríaspa
dc.contributor.authorHerrera-Fontalvo, Zulmeiraspa
dc.date.accessioned2021-03-12T18:05:22Z
dc.date.available2021-03-12T18:05:22Z
dc.date.issued2021-02
dc.identifier.urihttps://hdl.handle.net/11323/8001spa
dc.description.abstractGynecobstetrics departments (GDs) oversee diagnosing, monitoring, and treating female reproductive diseases as well as assisting women during pregnancy. Their importance motivates the creation of suitable performance evaluation approaches for identifying weaknesses and designing focused interventions. Therefore, the aim of this paper is twofold: (a) provide an approach for GD performance evaluation and (b) propose interventions tackling the GDs’ weaknesses. The fuzzy analytic hierarchy process (FAHP) was first applied to calculate the initial criteria and subcriteria weights under vagueness. Then, the decision‐making trial and evaluation laboratory (DEMATEL) was implemented to evaluate interrelations. FAHP and DEMATEL were later combined to estimate the final criteria and subcriteria weights under vagueness and interdependency. Finally, the technique for order of preference by similarity to ideal solution (TOPSIS) was used to rank the GDs and detect improvement opportunities. A case study of a cluster including three GDs is presented to validate the proposed approach. The results evidenced that patient safety and service quality are the most critical aspects in GD performance evaluation. The results from this application can be used by healthcare managers for designing focused interventions targeting improved performance of GDs. This paper fully exploits the advantages of FAHP, DEMATEL, and TOPSIS methods for evaluating performances of GDs. Furthermore, this study presents a novel decision‐making model representing the multifactorial context of the GD performance.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoeng
dc.publisherCorporación Universidad de la Costaspa
dc.rightsCC0 1.0 Universalspa
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/spa
dc.sourceInternational Transactions in Operational Researchspa
dc.subjectDecision‐makingspa
dc.subjectGynecobstetricsspa
dc.subjectPerformance evaluationspa
dc.titleA multicriteria decision‐making framework for assessing the performance of gynecobstetrics departments: a case studyspa
dc.typePre-Publicaciónspa
dc.source.urlhttps://www.researchgate.net/publication/349306399_A_multicriteria_decision-making_framework_for_assessing_the_performance_of_gynecobstetrics_departments_a_case_studyspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttps://doi.org/10.1111/itor.12946spa
dc.date.embargoEnd2023-02
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
dc.type.coarhttp://purl.org/coar/resource_type/c_816bspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/preprintspa
dc.type.hasversioninfo:eu-repo/semantics/draftspa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTOTRspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa


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  • Artículos científicos [2775]
    Artículos de investigación publicados por miembros de la comunidad universitaria.

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