Developing Hospital Emergency and Disaster Management Index Using TOPSIS Method
Mohammad Mojtahedi,
Riza Yosia Sunindijo,
Fatma Lestari,
Suparni and
Oktomi Wijaya
Additional contact information
Mohammad Mojtahedi: School of Built Environment, UNSW Sydney, Sydney, NSW 2052, Australia
Riza Yosia Sunindijo: School of Built Environment, UNSW Sydney, Sydney, NSW 2052, Australia
Fatma Lestari: Faculty of Public Health, Universitas Indonesia, Depok 16424, Indonesia
Suparni: Sekolah Tinggi Ilmu Kesehatan Dharma Husada, Bandung 40282, Indonesia
Oktomi Wijaya: Faculty of Public Health, Universitas Ahmad Dahlan, Yogyakarta 55166, Indonesia
Sustainability, 2021, vol. 13, issue 9, 1-14
Abstract:
Indonesia is a country prone to experiencing natural hazards and disasters, which have frequently damaged public infrastructure, including hospitals. The role of hospitals is crucial to alleviate the impact of disasters. However, there is still a lack of study that analyzes the factors that influence the readiness of hospitals in emergency situations. Filling in this gap, the aim of this paper is to analyze and rank hospitals across West Java and Yogyakarta, Indonesia by the resilience of their emergency management approaches. This research seeks to measure hospital resiliency during emergencies and disasters. Results indicate that the emergency and disaster management coordination, response and disaster recovery planning, communication and information management, logistics and evacuation, human resources, finance, patient care and support services, decontamination and security are key attributes for the decision-making matrix. Based on the Hospital Safety Index tool, this research proposes the Hospital Emergency and Disaster Management (HEDM) index by combining the key attributes and sub-attributes using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) as a multi-attribute decision-making technique. The paper concludes that the anticipated benefits of analyzing the resilience of hospitals by using HEDM is the identification of the most susceptible hospitals based on their levels of readiness and resiliency in areas which are prone to experiencing disasters. This prioritization is important for resource allocation and budget planning.
Keywords: hospital emergency and disaster management; hospital resiliency; hospital safety index; Indonesia; TOPSIS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)
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