Crilly Julia, Keijzers Gerben, Tippett Vivienne, O'Dwyer John, Lind James, Bost Nerolie, O'Dwyer Marilla, Shiels Sue, Wallis Marianne
Department of Emergency Medicine, Gold Coast Hospital and Health Service, Gold Coast, Queensland, Australia.
Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia.
Emerg Med Australas. 2015 Jun;27(3):216-24. doi: 10.1111/1742-6723.12399. Epub 2015 May 5.
To describe and compare characteristics and outcomes of patients who arrive by ambulance to the ED. We aimed to (i) compare patients with a delayed ambulance offload time (AOT) >30 min with those who were not delayed; and (ii) identify predictors of an ED length of stay (LOS) of >4 h for ambulance-arriving patients.
A retrospective, multi-site cohort study was undertaken in Australia using 12 months of linked health data (September 2007-2008). Outcomes of AOT delayed and non-delayed presentations were compared. Logistic regression analysis was undertaken to identify predictors of an ED LOS of >4 h.
Of the 40 783 linked, analysable ambulance presentations, AOT delay of >30 min was experienced by 15%, and 63% had an ED LOS of >4 h. Patients with an AOT <30 min had better outcomes for: time to triage; ambulance time at hospital; time to see healthcare professional; proportion seen within recommended triage time frame; and ED LOS for both admitted and non-admitted patients. In-hospital mortality did not differ. Strong predictors of an ED LOS >4 h included: hospital admission, older age, triage category, and offload delay >30 min.
Patients arriving to the ED via ambulance and offloaded within 30 min experience better outcomes than those delayed. Given that offload delay is a modifiable predictor of an ED LOS of >4 h, targeted improvements in the ED arrival process for ambulance patients might be useful.
描述并比较通过救护车送至急诊科(ED)的患者的特征及结局。我们旨在:(i)比较救护车卸载时间(AOT)延迟超过30分钟的患者与未延迟的患者;(ii)确定救护车送达患者急诊科住院时间(LOS)超过4小时的预测因素。
在澳大利亚进行了一项回顾性多中心队列研究,使用了12个月的关联健康数据(2007年9月至2008年)。比较了AOT延迟和未延迟就诊的结局。进行逻辑回归分析以确定ED LOS超过4小时的预测因素。
在40783例可分析的关联救护车就诊病例中,15%经历了AOT延迟超过30分钟,63%的患者ED LOS超过4小时。AOT小于30分钟的患者在以下方面有更好的结局:分诊时间;在医院的救护车时间;见到医护人员的时间;在推荐分诊时间范围内就诊的比例;以及入院和未入院患者的ED LOS。院内死亡率无差异。ED LOS超过4小时的强预测因素包括:入院、年龄较大、分诊类别以及卸载延迟超过30分钟。
通过救护车送至ED且在30分钟内卸载的患者比延迟患者有更好的结局。鉴于卸载延迟是ED LOS超过4小时的一个可改变的预测因素,针对性地改善救护车患者的ED到达流程可能会有帮助。