Yu Wenya, Lv Yipeng, Hu Chaoqun, Liu Xu, Chen Haiping, Xue Chen, Zhang Lulu
Department of Military Health Service Management, College of Military Health Service Management, Second Military Medical University, Shanghai, People's Republic of China.
Patient Prefer Adherence. 2018 Jan 31;12:207-222. doi: 10.2147/PPA.S155603. eCollection 2018.
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.
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.
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.
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.
大规模伤亡事件应急医疗系统(EMS-MCIs)是一个全球性问题。然而,中国极度缺乏此类研究,无法满足快速决策支持系统的需求。本研究旨在实现上海市EMS-MCIs的建模,提高中国大规模伤亡事件(MCI)的救援效率,并提供一种在MCI期间做出快速救援决策的可能方法。
本研究使用Vensim DSS程序建立了EMS-MCIs的系统动力学(SD)模型。干预情景设计为调整MCI规模、救护车分配、急救人员分配以及组织指挥效率。
死亡率随MCI规模的增加而上升,医院的医疗救援能力相对较好,但组织指挥效率较差,院前时间过长。增加救护车数量并提高组织指挥效率时,死亡率显著下降;增加急救人员的可及性可缩短分诊和现场急救时间。在2000人参与MCI时效果最为明显;然而,在5000人规模下影响非常小。
降低MCI死亡率的关键是缩短院前时间并提高组织指挥效率。对于小规模MCI,提高卫生资源利用率对降低死亡率很重要。对于大规模MCI,增加救护车数量和急救专业人员是缩短院前时间和降低死亡率的核心。对于超大规模MCI,增加卫生资源是前提。