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Developing Hospital Emergency and Disaster Management Index Using TOPSIS Method

Author

Listed:
  • 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)

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.

Suggested Citation

  • Mohammad Mojtahedi & Riza Yosia Sunindijo & Fatma Lestari & Suparni & Oktomi Wijaya, 2021. "Developing Hospital Emergency and Disaster Management Index Using TOPSIS Method," Sustainability, MDPI, vol. 13(9), pages 1-14, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:5213-:d:549940
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    References listed on IDEAS

    as
    1. Penjani Hopkins Nyimbili & Turan Erden & Himmet Karaman, 2018. "Integration of GIS, AHP and TOPSIS for earthquake hazard analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1523-1546, July.
    2. Dongxiao Niu & Gengqi Wu & Zhengsen Ji & Dongyu Wang & Yuying Li & Tian Gao, 2021. "Evaluation of Provincial Carbon Neutrality Capacity of China Based on Combined Weight and Improved TOPSIS Model," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    3. Ahmed Mohammed & Morteza Yazdani & Amar Oukil & Ernesto D. R. Santibanez Gonzalez, 2021. "A Hybrid MCDM Approach towards Resilient Sourcing," Sustainability, MDPI, vol. 13(5), pages 1-30, March.
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    Cited by:

    1. Milena Nebojša Rajić & Rado M. Maksimović & Pedja Milosavljević, 2023. "Emergency Planning and Disaster Recovery Management Model in Hospitality—Plan-Do-Check-Act Cycle Approach," Sustainability, MDPI, vol. 15(7), pages 1-18, April.
    2. Fatma Lestari & Debby Paramitasari & Fatmah & Achir Yani Hamid & Suparni & Herlina J. EL-Matury & Oktomi Wijaya & Meilisa Rahmadani & Avinia Ismiyati & Rizka Asshafaa Firdausi & Abdul Kadir, 2022. "Analysis of Hospital’s Emergency and Disaster Preparedness Using Hospital Safety Index in Indonesia," Sustainability, MDPI, vol. 14(10), pages 1-21, May.

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