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dc.contributor.authorLopez-Meza, Pedro
dc.contributor.authorYucesan, Melih
dc.contributor.authorNavarro-Jimenez, Eduardo
dc.contributor.authorGul, Muhammet
dc.contributor.authorOrtiz-Barrios, Miguel
dc.date.accessioned2022-07-04T14:11:38Z
dc.date.available2022-07-04T14:11:38Z
dc.identifier.citationOrtiz-Barrios M., Gul M., Lopez-Meza P., Yucesan M., Navarro-Jimenez E., "Evaluation of hospital disaster preparedness by a multi-criteria decision making approach: The case of Turkish hospitals", INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, cilt.49, 2020
dc.identifier.issn2212-4209
dc.identifier.othervv_1032021
dc.identifier.otherav_6c2b525a-cda0-4803-b415-0747bf4de207
dc.identifier.urihttp://hdl.handle.net/20.500.12627/183184
dc.identifier.urihttps://doi.org/10.1016/j.ijdrr.2020.101748
dc.description.abstractConsidering the unexpected emergence of natural and man-made disasters over the world and Turkey, the importance of preparedness of hospitals, which are the first reference points for people to get healthcare services, becomes clear. Determining the level of disaster preparedness of hospitals is an important and necessary issue. This is because identifying hospitals with low level of preparedness is crucial for disaster preparedness planning. In this study, a hybrid fuzzy decision making model was proposed to evaluate the disaster preparedness of hospitals. This model was developed using fuzzy analytic hierarchy process (FAHP)-fuzzy decision making trial and evaluation laboratory (FDEMATEL)-technique for order preference by similarity to ideal solutions (TOPSIS) techniques and aimed to determine a ranking for hospital disaster preparedness. FAHP is used to determine weights of six main criteria (including hospital buildings, equipment, communication, transportation, personnel, flexibility) and a total of thirty-six sub-criteria regarding disaster preparedness. At the same time, FDEMATEL is applied to uncover the interdependence between criteria and sub-criteria. Finally, TOPSIS is used to obtain ranking of hospitals. To provide inputs for TOPSIS implementation, some key performance indicators are established and related data is gathered by the aid of experts from the assessed hospitals. A case study considering 4 hospitals from the Turkish healthcare sector was used to demonstrate the proposed approach. The results evidenced that Personnel is the most important factor (global weight = 0.280) when evaluating the hospital preparedness while Flexibility has the greatest prominence (c + r = 23.09).
dc.language.isoeng
dc.subjectWater Science and Technology
dc.subjectStratigraphy
dc.subjectGeotechnical Engineering and Engineering Geology
dc.subjectGeology
dc.subjectEconomic Geology
dc.subjectPhysical Sciences
dc.subjectAtmospheric Science
dc.subjectYER BİLİMİ, MULTİDİSİPLİNER
dc.subjectYerbilimleri
dc.subjectTemel Bilimler (SCI)
dc.subjectMETEOROLOJİ VE ATMOSFER BİLİMLERİ
dc.subjectSU KAYNAKLARI
dc.subjectÇevre / Ekoloji
dc.subjectTarım ve Çevre Bilimleri (AGE)
dc.subjectJEOLOJİ
dc.subjectTarımsal Bilimler
dc.subjectZiraat
dc.subjectToprak ve Bitki Besleme
dc.subjectToprak ve Su Muhafazası ve Amenajmanı
dc.subjectHavza Yönetimi
dc.subjectAtmosfer Bilimleri ve Meteoroloji Mühendisliği
dc.subjectJeoloji Mühendisliği
dc.subjectMühendislik ve Teknoloji
dc.titleEvaluation of hospital disaster preparedness by a multi-criteria decision making approach: The case of Turkish hospitals
dc.typeMakale
dc.relation.journalINTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
dc.contributor.departmentUniversidad de la Costa , ,
dc.identifier.volume49
dc.contributor.firstauthorID3407467


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