Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model

Wenya Yu,* Yipeng Lv,* Chaoqun Hu,* Xu Liu, Haiping Chen, Chen Xue, Lulu Zhang Department of Military Health Service Management, College of Military Health Service Management, Second Military Medical University, Shanghai, People’s Republic of China *These authors contributed equally to t...

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Main Authors: Yu W, Lv Y, Hu C, Liu X, Chen H, Xue C, Zhang L
Format: Article
Language:English
Published: Dove Medical Press 2018-01-01
Series:Patient Preference and Adherence
Subjects:
Online Access:https://www.dovepress.com/research-of-an-emergency-medical-system-for-mass-casualty-incidents-in-peer-reviewed-article-PPA
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author Yu W
Lv Y
Hu C
Liu X
Chen H
Xue C
Zhang L
author_facet Yu W
Lv Y
Hu C
Liu X
Chen H
Xue C
Zhang L
author_sort Yu W
collection DOAJ
description Wenya Yu,* Yipeng Lv,* Chaoqun Hu,* Xu Liu, Haiping Chen, Chen Xue, Lulu Zhang Department of Military Health Service Management, College of Military Health Service Management, Second Military Medical University, Shanghai, People’s Republic of China *These authors contributed equally to this work Objectives: Emergency medical system for mass casualty incidents (EMS-MCIs) is a global issue. However, China lacks such studies extremely, which cannot meet the requirement of rapid decision-support system. This study aims to realize modeling EMS-MCIs in Shanghai, to improve mass casualty incident (MCI) rescue efficiency in China, and to provide a possible method of making rapid rescue decisions during MCIs.Methods: This study established a system dynamics (SD) model of EMS-MCIs using the Vensim DSS program. Intervention scenarios were designed as adjusting scales of MCIs, allocation of ambulances, allocation of emergency medical staff, and efficiency of organization and command.Results: Mortality increased with the increasing scale of MCIs, medical rescue capability of hospitals was relatively good, but the efficiency of organization and command was poor, and the prehospital time was too long. Mortality declined significantly when increasing ambulances and improving the efficiency of organization and command; triage and on-site first-aid time were shortened if increasing the availability of emergency medical staff. The effect was the most evident when 2,000 people were involved in MCIs; however, the influence was very small under the scale of 5,000 people.Conclusion: The keys to decrease the mortality of MCIs were shortening the prehospital time and improving the efficiency of organization and command. For small-scale MCIs, improving the utilization rate of health resources was important in decreasing the mortality. For large-scale MCIs, increasing the number of ambulances and emergency medical professionals was the core to decrease prehospital time and mortality. For super-large-scale MCIs, increasing health resources was the premise. Keywords: system dynamics model, emergency medical system, mass casualty incidents
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spelling doaj.art-aa54b29487e24ffba0d404aa0b5a04da2022-12-21T21:54:59ZengDove Medical PressPatient Preference and Adherence1177-889X2018-01-01Volume 1220722236610Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics modelYu WLv YHu CLiu XChen HXue CZhang LWenya Yu,* Yipeng Lv,* Chaoqun Hu,* Xu Liu, Haiping Chen, Chen Xue, Lulu Zhang Department of Military Health Service Management, College of Military Health Service Management, Second Military Medical University, Shanghai, People’s Republic of China *These authors contributed equally to this work Objectives: Emergency medical system for mass casualty incidents (EMS-MCIs) is a global issue. However, China lacks such studies extremely, which cannot meet the requirement of rapid decision-support system. This study aims to realize modeling EMS-MCIs in Shanghai, to improve mass casualty incident (MCI) rescue efficiency in China, and to provide a possible method of making rapid rescue decisions during MCIs.Methods: This study established a system dynamics (SD) model of EMS-MCIs using the Vensim DSS program. Intervention scenarios were designed as adjusting scales of MCIs, allocation of ambulances, allocation of emergency medical staff, and efficiency of organization and command.Results: Mortality increased with the increasing scale of MCIs, medical rescue capability of hospitals was relatively good, but the efficiency of organization and command was poor, and the prehospital time was too long. Mortality declined significantly when increasing ambulances and improving the efficiency of organization and command; triage and on-site first-aid time were shortened if increasing the availability of emergency medical staff. The effect was the most evident when 2,000 people were involved in MCIs; however, the influence was very small under the scale of 5,000 people.Conclusion: The keys to decrease the mortality of MCIs were shortening the prehospital time and improving the efficiency of organization and command. For small-scale MCIs, improving the utilization rate of health resources was important in decreasing the mortality. For large-scale MCIs, increasing the number of ambulances and emergency medical professionals was the core to decrease prehospital time and mortality. For super-large-scale MCIs, increasing health resources was the premise. Keywords: system dynamics model, emergency medical system, mass casualty incidentshttps://www.dovepress.com/research-of-an-emergency-medical-system-for-mass-casualty-incidents-in-peer-reviewed-article-PPAsystem dynamics modelemergency medical systemmass casualty incidents
spellingShingle Yu W
Lv Y
Hu C
Liu X
Chen H
Xue C
Zhang L
Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model
Patient Preference and Adherence
system dynamics model
emergency medical system
mass casualty incidents
title Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model
title_full Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model
title_fullStr Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model
title_full_unstemmed Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model
title_short Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model
title_sort research of an emergency medical system for mass casualty incidents in shanghai china a system dynamics model
topic system dynamics model
emergency medical system
mass casualty incidents
url https://www.dovepress.com/research-of-an-emergency-medical-system-for-mass-casualty-incidents-in-peer-reviewed-article-PPA
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