印度尼西亚救护车服务估算特写:蒙特卡罗模拟研究

IF 1.9 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Syaribah N Brice, Justin J Boutilier, Geraint Palmer, Paul R Harper, Vincent Knight, Mark Tuson, Daniel Gartner
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引用次数: 0

摘要

背景:紧急医疗服务在及时、适当地应对医疗、自然或人为灾害造成的紧急事件方面发挥着举足轻重的作用。要为救护车等急救服务提供充足的资源,就必须了解对此类服务的需求。在印度尼西亚,由于缺乏相关的出版文献或官方报告,因此无法轻易获得对急救服务需求的估计:本研究旨在确定雅加达市每年医院急诊量的估计值以及相应的救护车服务需求:在这项研究中,我们探讨了在没有详细的综合数据或数据收集工作不常规的情况下如何估算急救服务需求的问题。我们利用调查数据、当地国家统计局的报告和医院急诊科的抽样数据来进行参数估计。这涉及到 4 个参数的估算:每个地区每个时段(白天和夜晚)的人口数量、年人均医院急诊量、每个时段发生急诊的概率以及每个地区的救护车需求率。采用蒙特卡洛模拟法和天真法对雅加达每个地区的平均救护车需求量进行了估算:结果:据估计,雅加达每年的救护车总需求在 83,000 到 241,000 之间。假设雅加达的救护车使用率为 9.3%,我们估计雅加达每年的医院急诊总人次约为 90 万至 260 万。研究还发现,使用模拟法估算的结果小于平均(天真)法(PConclusions:研究结果对雅加达市每年所需的急救服务进行了估算。在雅加达缺乏常规收集的急救医疗服务使用情况综合数据的情况下,我们的结果提供了对当前急救服务(如救护车)是否已得到充分提供的深入了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Close-Up on Ambulance Service Estimation in Indonesia: Monte Carlo Simulation Study.

Background: Emergency medical services have a pivotal role in giving timely and appropriate responses to emergency events caused by medical, natural, or human-caused disasters. To provide adequate resources for the emergency services, such as ambulances, it is necessary to understand the demand for such services. In Indonesia, estimates of demand for emergency services cannot be obtained easily due to a lack of published literature or official reports concerning the matter.

Objective: This study aimed to ascertain an estimate of the annual volume of hospital emergency visits and the corresponding demand for ambulance services in the city of Jakarta.

Methods: In this study, we addressed the problem of emergency services demand estimation when aggregated detailed data are not available or are not part of the routine data collection. We used survey data together with the local Office of National Statistics reports and sample data from hospital emergency departments to establish parameter estimation. This involved estimating 4 parameters: the population of each area per period (day and night), the annual per capita hospital emergency visits, the probability of an emergency taking place in each period, and the rate of ambulance need per area. Monte Carlo simulation and naïve methods were used to generate an estimation for the mean ambulance needs per area in Jakarta.

Results: The results estimated that the total annual ambulance need in Jakarta is between 83,000 and 241,000. Assuming the rate of ambulance usage in Jakarta at 9.3%, we estimated the total annual hospital emergency visits in Jakarta at around 0.9-2.6 million. The study also found that the estimation from using the simulation method was smaller than the average (naïve) methods (P<.001).

Conclusions: The results provide an estimation of the annual emergency services needed for the city of Jakarta. In the absence of aggregated routinely collected data on emergency medical service usage in Jakarta, our results provide insights into whether the current emergency services, such as ambulances, have been adequately provided.

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来源期刊
Interactive Journal of Medical Research
Interactive Journal of Medical Research MEDICINE, RESEARCH & EXPERIMENTAL-
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审稿时长
12 weeks
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