确定COVID-19大流行期间紧急医疗服务的响应时间因素

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY International Journal of Emergency Services Pub Date : 2021-11-19 DOI:10.1108/ijes-12-2020-0071
N. Mulyono, N. F. Pambudi, Lukni Burhanuddin Ahmad, Akbar Adhiutama
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引用次数: 1

摘要

由于缺乏对发展中国家人口密集城市2019冠状病毒病(COVID-19)大流行期间紧急医疗服务响应时间的研究,本研究旨在探讨救护车服务到达有需要患者的高响应时间的因素。有必要对影响反应时间的因素进行评估,以指导决策者保持高水平的紧急医疗服务。设计/方法/方法本研究采用基于主体的建模方法,输入参数来自对印度尼西亚万隆市急救医疗服务人员的访谈。建立了基于agent的模型,通过多个场景来评估各因素对减少响应时间的相关贡献。根据基于agent的仿真,影响响应时间的因素有四个:大流行期间准备工作人员和救护车的过程、覆盖范围、交通密度和工作人员的响应能力。在这些因素中,大流行期间的准备过程和覆盖区域对响应时间有显著影响,而交通密度和机组人员响应时间的影响较小。准备过程与新冠肺炎大流行期间的病人处理安全程序和正常时间密切相关。维持低反应时间的建议覆盖范围为5公里,相当于6个当地街道。研究局限/启示本研究探讨影响紧急医疗反应时间的因素。交通密度对交通优先规则的贡献不显著,说明市民总体上对交通优先规则的认知度和遵从度较高,因此救护人员在处理救护车时的响应性是一个不相关的因素。对于人口密度较低的地区,本研究可能有不同的影响因素,研究重点是当地政府提供的公共应急医疗服务。实际影响地方政府必须提供额外的资金,以支付新的紧急服务部署点的救护车、工作人员和管理方面的额外投资。在每个紧急部署点,必须在救护车和机组人员的准备工作方面实行有效的程序。独创性/价值本研究通过定性分析和基于agent的模拟,评估了大流行和正常情况下紧急医疗响应时间的影响因素。通过基于agent的模拟,对比新冠肺炎疫情前后医疗响应时间的性能,对决策者减少新冠肺炎疫情影响具有重要价值。
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Determining response time factors of emergency medical services during the COVID-19 pandemic
PurposeThe lack of studies about the response time of emergency medical service during the coronavirus disease 2019 (COVID-19) pandemic in a dense city of a developing country has triggered this study to explore the factors contributing to a high response time of ambulance service to reach patients in need. An evaluation of contributing factors to the response time is necessary to guide decision-makers in keeping a high service level of emergency medical service.Design/methodology/approachThis research employed an agent-based modeling approach with input parameters from interviews with emergency medical service staff in Bandung city, Indonesia. The agent-based model is established to evaluate the relevant contribution of the factors to response time reduction using several scenarios.FindingsAccording to agent-based simulation, four factors contribute to the response time: the process of preparing crew and ambulance during the pandemic, coverage area, traffic density and crew responsiveness. Among these factors, the preparation process during the pandemic and coverage area significantly contributed to the response time, while the traffic density and crew responsiveness were less significant. The preparation process is closely related to the safety procedure in handling patients during the COVID-19 pandemic and normal time. The recommended coverage area for maintaining a low response time is 5 km, equivalent to six local subdistricts.Research limitations/implicationsThis study has explored the factors contributing to emergency medical response time. The insignificant contribution of the traffic density showed that citizens, in general, have high awareness and compliance to traffic priority regulation, so crew responsiveness in handling ambulances is an irrelevant factor. This study might have different contributing factors for less dense population areas and focuses on public emergency medical services provided by the local government.Practical implicationsThe local government must provide additional funding to cover additional investment for ambulance, crew and administration for the new emergency service deployment point. Exercising an efficient process in ambulance and crew preparation is mandatory for each emergency deployment point.Originality/valueThis study evaluates the contributing factors of emergency medical response time in the pandemic and normal situation by qualitative analysis and agent-based simulation. The performance comparison in terms of medical response time before and after COVID-19 through agent-based simulation is valuable for decision-makers to reduce the impact of COVID-19.
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来源期刊
International Journal of Emergency Services
International Journal of Emergency Services SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
2.00
自引率
11.10%
发文量
29
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