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A challenge for healthcare system resilience after an earthquake: The crowdedness of a first-aid hospital by non-urgent patients

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  • You-Xuan Lin
  • Chi-Hao Lin
  • Chih-Hao Lin

Abstract

After a violent earthquake, the supply of medical services may fall short of the rising demand, leading to overcrowding in hospitals, and, consequently, a collapse in the healthcare system. This paper takes the emergency care system in Taiwan as the research context, where first-aid hospitals are ranked to three levels, advanced, intermediate, and general, and, currently, emphasizes on a general emergency responsibility hospital. Having limited capacity and capability, a general emergency responsibility hospital treats minor and moderate injuries, from which the majority of earthquake-induced casualties suffer. The purpose of this study is to analyze the impact of this group of earthquake-induced non-urgent patients on the performance of a hospital. A patient flow model was built to represent patients’ paths throughout emergency care. Based on the model, discrete event simulation was applied to simulate patients’ trajectories and states of a hospital under four seismic scenarios, where patient visits are 1.4, 1.6, 1.9, and 2.3 times the normal number. A healthcare performance index, Crowdedness Index (CI), is proposed to measure crowdedness on a daily basis, which is defined as the ratio of the average waiting time for treatment to the recommended maximal waiting time. Results of simulations rendered the establishment of empirical equations, describing the relation between the maximum CIs and the patient growth ratios. In the most severe case in this study, the maximum CI exceeds 92 and it takes 10 days to recover from the quality drop. This highlights the problem a general emergency responsibility hospital may encounter if no emergency response measure is implemented. Findings are provided pertaining to the predication of a recovery curve and the alarming level of patient increase, which are supportive information for preparedness planning as well as response measure formulation to improve resilience.

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  • You-Xuan Lin & Chi-Hao Lin & Chih-Hao Lin, 2021. "A challenge for healthcare system resilience after an earthquake: The crowdedness of a first-aid hospital by non-urgent patients," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-16, April.
  • Handle: RePEc:plo:pone00:0249522
    DOI: 10.1371/journal.pone.0249522
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    1. Muhammet Gul & Ali Fuat Guneri & Murat M. Gunal, 2020. "Emergency department network under disaster conditions: The case of possible major Istanbul earthquake," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(5), pages 733-747, May.
    2. Abo-Hamad, Waleed & Arisha, Amr, 2013. "Simulation-based framework to improve patient experience in an emergency department," European Journal of Operational Research, Elsevier, vol. 224(1), pages 154-166.
    3. Chin-Hsun Yeh & Chin-Hsiung Loh & Keh-Chyuan Tsai, 2006. "Overview of Taiwan Earthquake Loss Estimation System," 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. 37(1), pages 23-37, February.
    4. Chantal Baril & Viviane Gascon & Dominic Vadeboncoeur, 2019. "Discrete-event simulation and design of experiments to study ambulatory patient waiting time in an emergency department," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(12), pages 2019-2038, December.
    5. Hassan, Emad M. & Mahmoud, Hussam, 2020. "An integrated socio-technical approach for post-earthquake recovery of interdependent healthcare system," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    6. Yong-Hong Kuo & Omar Rado & Benedetta Lupia & Janny M. Y. Leung & Colin A. Graham, 2016. "Improving the efficiency of a hospital emergency department: a simulation study with indirectly imputed service-time distributions," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 120-147, June.
    7. John Pastor Ansah & Salman Ahmad & Lin Hui Lee & Yuzeng Shen & Marcus Eng Hock Ong & David Bruce Matchar & Lukas Schoenenberger, 2021. "Modeling Emergency Department crowding: Restoring the balance between demand for and supply of emergency medicine," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-33, January.
    8. Chung-Yao Kao & Jhen-Ci Yang & Chih-Hao Lin, 2015. "The Impact of Ambulance and Patient Diversion on Crowdedness of Multiple Emergency Departments in a Region," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-14, December.
    9. Cote, Murray J., 1999. "Patient flow and resource utilization in an outpatient clinic," Socio-Economic Planning Sciences, Elsevier, vol. 33(3), pages 231-245, September.
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    1. Moradi, Shohreh & Khan, Md Muzahid & Hossain, Niamat Ullah Ibne & Shamsuddoha, Mohammad & Gorod, Alex, 2023. "Modeling and assessing seismic resilience leveraging systems dynamic approach: A case study of society 5.0," International Journal of Critical Infrastructure Protection, Elsevier, vol. 43(C).

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