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一个用于提高医院灾难准备能力的模糊混合决策框架:哥伦比亚案例

A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: The colombian case.

作者信息

Ortiz-Barrios Miguel, Gul Muhammet, Yucesan Melih, Alfaro-Sarmiento Isaac, Navarro-Jiménez Eduardo, Jiménez-Delgado Genett

机构信息

Department of Productivity and Innovation, Universidad de La Costa CUC, Barranquilla, Colombia.

Munzur University, Department of Emergency Aid and Disaster Management, 62000, Tunceli, Turkey.

出版信息

Int J Disaster Risk Reduct. 2022 Apr 1;72:102831. doi: 10.1016/j.ijdrr.2022.102831. Epub 2022 Feb 7.

Abstract

The recent increase in the number of disasters over the world has once again brought to the agenda the question of preparedness of the hospitals, which are the most necessary units of healthcare pillar to resist these disasters. The COVID-19 epidemic disease, which has affected the whole world, has caused a large number of people to die in some countries simply because of the inadequate and incomplete planning and lack of readiness of hospitals. For this reason, determining the disaster preparedness level of hospitals is an important issue that needs to be studied and it is important in terms of disaster damage reduction. In this study, a fuzzy hybrid decision-making framework is proposed to assess hospital disaster preparedness. The framework covers three important decision-making methods. For the first phase, Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) is used to assign relative weights for several disaster preparedness criteria considering uncertainty. Secondly, Intuitionistic Fuzzy Decision Making Trial and Evaluation Laboratory (IF-DEMATEL) is applied to identify interrelations among these criteria and feedback. Finally, via the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, priorities of hospitals regarding disaster readiness are obtained. A case study involving the participation of 10 Colombian tertiary hospitals is carried out to show the applicability of this fuzzy hybrid approach.

摘要

近年来,全球灾害数量不断增加,这再次将医院的备灾问题提上议程。医院作为医疗支柱中最关键的单元,对于抵御这些灾害至关重要。席卷全球的新冠疫情在一些国家导致大量人员死亡,原因正是医院规划不足、不完善且缺乏准备。因此,确定医院的备灾水平是一个亟待研究的重要问题,对于减少灾害损失具有重要意义。在本研究中,提出了一种模糊混合决策框架来评估医院的备灾情况。该框架涵盖三种重要的决策方法。在第一阶段,使用直觉模糊层次分析法(IF-AHP),考虑不确定性为多个备灾标准分配相对权重。其次,应用直觉模糊决策试验与评价实验室法(IF-DEMATEL)来识别这些标准之间的相互关系和反馈。最后,通过VlseKriterijumska Optimizacija I Kompromisno Resenje(VIKOR)方法得出医院在灾害准备方面的优先级。开展了一项涉及10家哥伦比亚三级医院参与的案例研究,以展示这种模糊混合方法的适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/517d/8820065/1c848c4027f8/gr1_lrg.jpg

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