首页> 外文期刊>Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine >Developing an analytical tool for evaluating EMS system design changes and their impact on cardiac arrest outcomes: combining geographic information systems with register data on survival rates
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Developing an analytical tool for evaluating EMS system design changes and their impact on cardiac arrest outcomes: combining geographic information systems with register data on survival rates

机译:开发用于评估EMS系统设计变更及其对心脏骤停结果影响的分析工具:将地理信息系统与生存率注册数据相结合

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Background Out-of-hospital cardiac arrest (OHCA) is a frequent and acute medical condition that requires immediate care. We estimate survival rates from OHCA in the area of Stockholm, through developing an analytical tool for evaluating Emergency Medical Services (EMS) system design changes. The study also is an attempt to validate the proposed model used to generate the outcome measures for the study. Methods and results This was done by combining a geographic information systems (GIS) simulation of driving times with register data on survival rates. The emergency resources comprised ambulance alone and ambulance plus fire services. The simulation model predicted a baseline survival rate of 3.9 per cent, and reducing the ambulance response time by one minute increased survival to 4.6 per cent. Adding the fire services as first responders (dual dispatch) increased survival to 6.2 per cent from the baseline level. The model predictions were validated using empirical data. Conclusion We have presented an analytical tool that easily can be generalized to other regions or countries. The model can be used to predict outcomes of cardiac arrest prior to investment in EMS design changes that affect the alarm process, e.g. (1) static changes such as trimming the emergency call handling time or (2) dynamic changes such as location of emergency resources or which resources should carry a defibrillator.
机译:背景院外心脏骤停(OHCA)是一种频繁且急性的医疗状况,需要立即护理。通过开发用于评估紧急医疗服务(EMS)系统设计变更的分析工具,我们可以估算斯德哥尔摩地区OHCA的存活率。该研究也是试图验证所提出的用于生成研究结果度量的模型的模型。方法和结果这是通过将行驶时间的地理信息系统(GIS)模拟与生存率寄存器数据相结合来完成的。紧急资源包括仅救护车,救护车和消防服务。模拟模型预测基线生存率为3.9%,将救护车的响应时间缩短一分钟,可使生存率提高到4.6%。将消防部门作为第一响应者(双重派遣)可以将生存率从基准水平提高到6.2%。使用经验数据验证了模型预测。结论我们提出了一种分析工具,可以很容易地推广到其他地区或国家。该模型可用于在对影响警报过程的EMS设计变更进行投资之前(例如, (1)静态更改(例如,缩短紧急呼叫处理时间)或(2)动态更改(例如,紧急资源的位置或应携带除颤器的资源)。

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