Ambulance deployment without transport: a retrospective difference analysis for the description of emergency interventions without patient transport in Bavaria

Florian Dax, Heiko Trentzsch, Marc Lazarovici, Kathrin Hegenberg, Katharina Kneißl, Florian Hoffmann, Stephan Prückner
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Abstract

Not all patients who call the ambulance service are subsequently transported to hospital. In 2018, a quarter of deployments of an emergency ambulance in Bavaria were not followed by patient transport. This study describes factors that influence patient transport rates. This is a retrospective cross-sectional study based on data from all Integrated Dispatch Centres of the Free State of Bavaria in 2018. Included were ambulance deployments without emergency physician involvement, which were subdivided into ambulance deployments without transport and ambulance deployments with transport. The proportion of transported patients were determined for the primary reasons for deployment and for the different community types. On-scene time was compared for calls with and without patient transport. Differences were tested for statistical significance using Chi2 tests and the odds ratio was calculated to determine differences between groups. Of 510,145 deployments, 147,621 (28.9%) could be classified as ambulance deployments without transport and 362,524 (71.1%) as ambulance deployments with transport.The lowest proportion of patients transported was found for activations where the fire brigade was involved (“fire alarm system” 0.6%, “fire with emergency medical services” 5.4%) and “personal emergency response system active alarm” (18.6%). The highest transport rates were observed for emergencies involving “childbirth/delivery” (96.9%) and “trauma” (83.2%). A lower proportion of patients is transported in large cities as compared to smaller cities or rural communities; in large cities, the odds ratio for emergencies without transport is 2.02 [95% confidence interval 1.98–2.06] referenced to rural communites. The median on-scene time for emergencies without transport was 20.8 min (n = 141,052) as compared to 16.5 min for emergencies with transport (n = 362,524). The shortest on-scene times for emergencies without transport were identified for activations related to “fire alarm system” (9.0 min) and “personal emergency response system active alarm” (10.6 min). This study indicates that the proportion of patients transported depends on the reason for deployment and whether the emergency location is urban or rural. Particularly low transport rates are found if an ambulance was dispatched in connection with a fire department operation or a personal emergency medical alert button was activated. The on-scene-time of the rescue vehicle is increased for deployments without transport. The study could not provide a rationale for this and further research is needed. Trial registration This paper is part of the study “Rettungswageneinsatz ohne Transport” [“Ambulance deployment without transport”] (RoT), which was registered in the German Register of Clinical Studies under the number DRKS00017758.
救护车部署无运输:回顾性差异分析的描述紧急干预没有病人运输在巴伐利亚州
并非所有呼叫救护车服务的病人随后都被送往医院。2018年,巴伐利亚州四分之一的紧急救护车部署后没有运送病人。本研究描述了影响病人转运率的因素。这是一项基于2018年巴伐利亚自由州所有综合调度中心数据的回顾性横断面研究。包括没有急诊医生参与的救护车部署,再细分为没有运输的救护车部署和有运输的救护车部署。根据部署的主要原因和不同的社区类型确定了运送患者的比例。对有和没有运送病人的呼叫进行现场时间的比较。采用Chi2检验检验差异是否具有统计学意义,并计算比值比确定组间差异。在510,145次部署中,147,621次(28.9%)可归类为无运输的救护车部署,362,524次(71.1%)可归类为有运输的救护车部署。在有消防队参与的情况下(“火灾报警系统”0.6%,“有紧急医疗服务的火灾”5.4%)和“个人应急响应系统主动报警”(18.6%),运送病人的比例最低。运送率最高的是涉及“分娩/分娩”(96.9%)和“创伤”(83.2%)的紧急情况。与小城市或农村社区相比,在大城市运送的患者比例较低;在大城市,以农村社区为参照,无交通工具紧急情况的优势比为2.02[95%可信区间1.98-2.06]。无运输紧急情况的现场时间中位数为20.8分钟(n = 141,052),而有运输紧急情况的现场时间中位数为16.5分钟(n = 362,524)。在没有运输的情况下,与“火灾报警系统”(9.0分钟)和“个人应急响应系统主动报警”(10.6分钟)相关的紧急情况的现场最短时间被确定。本研究表明,运送病人的比例取决于部署的原因和急救地点是城市还是农村。如果因消防部门的行动而派出救护车或启动了个人紧急医疗警报按钮,则运输率特别低。在没有运输的情况下,救援车辆的现场时间增加了。这项研究不能提供一个基本原理,需要进一步的研究。本文是研究“Rettungswageneinsatz ohne Transport”[“救护车无运输部署”](RoT)的一部分,该研究已在德国临床研究登记处注册,编号为DRKS00017758。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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