Nehme Ziad, Andrew Emily, Smith Karen
Prehosp Emerg Care. 2016 Nov-Dec;20(6):783-791. doi: 10.3109/10903127.2016.1164776. Epub 2016 Aug 3.
While emergency medical service (EMS) response times (ERT) remain a leading measure of system performance in many developed countries, relatively few studies have explored the factors associated with meeting benchmark performance for potentially time critical incidents. The purpose of this study was to identify system-level and patient-level factors associated with ERT, which are readily available at the time of ambulance dispatch.
Between July 2009 and June 2014, we included data from 1,000,458 EMS responses to time critical "lights and sirens" incidents in Melbourne, Australia. The primary outcome measure was ERT, defined as the time from emergency call to the arrival of the first EMS team on scene. Quantile regression models were used to identify system-level and patient-level factors associated with 10-percentile intervals of ERT.
The median ERT was 10.6 minutes (IQR: 8.1-14.0), increasing from 9.6 minutes (IQR: 7.6-12.5) in 2009/10 to 11.0 minutes (IQR: 8.4-14.7) in 2013/14 (p < 0.001). System-level factors independently associated with the 90th percentile ERT were distance to scene, activation time, turnout time, case upgrade, hour of day, day of week, workload in the previous hour, ambulance skill set, priority zero case (e.g., suspected cardiac or respiratory arrest), and average hospital delay time in the previous hour. Patient-level factors such as age, gender, chief medical complaint, and severity of complaint were also significantly associated with ERT.
System-level and patient-level factors available at the time of ambulance dispatch are useful predictors of ERT performance, which could be used to improve the timeliness of EMS response.
在许多发达国家,紧急医疗服务(EMS)响应时间(ERT)仍是衡量系统性能的一项主要指标,但相对较少的研究探讨了与潜在时间紧迫事件达到基准性能相关的因素。本研究的目的是确定与ERT相关的系统层面和患者层面因素,这些因素在救护车调度时即可获取。
2009年7月至2014年6月期间,我们纳入了澳大利亚墨尔本1000458次针对时间紧迫的“亮灯鸣笛”事件的EMS响应数据。主要结局指标是ERT,定义为从紧急呼叫到首个EMS团队到达现场的时间。使用分位数回归模型来确定与ERT的10%分位数区间相关的系统层面和患者层面因素。
ERT的中位数为10.6分钟(四分位间距:8.1 - 14.0),从2009/10年度的9.6分钟(四分位间距:7.6 - 12.5)增加到2013/14年度的11.0分钟(四分位间距:8.4 - 14.7)(p < 0.001)。与第90百分位数ERT独立相关的系统层面因素包括到现场的距离、启动时间、出动时间、病例升级、一天中的时间、一周中的日期、前一小时的工作量、救护车技能组合、零级优先病例(如疑似心脏或呼吸骤停)以及前一小时的平均医院延误时间。年龄、性别、主要医疗投诉和投诉严重程度等患者层面因素也与ERT显著相关。
救护车调度时可获取的系统层面和患者层面因素是ERT性能的有用预测指标,可用于提高EMS响应的及时性。