Clinical Practice Research Unit, School of Health, University of Central Lancashire, Preston, UK.
BMC Health Serv Res. 2013 Aug 15;13:318. doi: 10.1186/1472-6963-13-318.
Stroke is a time-dependent medical emergency in which early presentation to specialist care reduces death and dependency. Up to 70% of all stroke patients obtain first medical contact from the Emergency Medical Services (EMS). Identifying 'true stroke' from an EMS call is challenging, with over 50% of strokes being misclassified. The aim of this study was to evaluate the impact of the training package on the recognition of stroke by Emergency Medical Dispatchers (EMDs).
This study took place in an ambulance service and a hospital in England using an interrupted time-series design. Suspected stroke patients were identified in one week blocks, every three weeks over an 18 month period, during which time the training was implemented. Patients were included if they had a diagnosis of stroke (EMS or hospital). The effect of the intervention on the accuracy of dispatch diagnosis was investigated using binomial (grouped) logistic regression.
In the Pre-implementation period EMDs correctly identified 63% of stroke patients; this increased to 80% Post-implementation. This change was significant (p=0.003), reflecting an improvement in identifying stroke patients relative to the Pre-implementation period both the During-implementation (OR=4.10 [95% CI 1.58 to 10.66]) and Post-implementation (OR=2.30 [95% CI 1.07 to 4.92]) periods. For patients with a final diagnosis of stroke who had been dispatched as stroke there was a marginally non-significant 2.8 minutes (95% CI -0.2 to 5.9 minutes, p=0.068) reduction between Pre- and Post-implementation periods from call to arrival of the ambulance at scene.
This is the first study to develop, implement and evaluate the impact of a training package for EMDs with the aim of improving the recognition of stroke. Training led to a significant increase in the proportion of stroke patients dispatched as such by EMDs; a small reduction in time from call to arrival at scene by the ambulance also appeared likely. The training package has been endorsed by the UK Stroke Forum Education and Training, and is free to access on-line.
中风是一种时间依赖性的医疗紧急情况,尽早向专科护理机构就诊可以降低死亡率和残疾率。多达 70%的中风患者是通过紧急医疗服务(EMS)获得的首次医疗接触。从 EMS 来电中识别“真正的中风”具有挑战性,超过 50%的中风被误诊。本研究的目的是评估培训包对急诊医疗调度员(EMD)识别中风的影响。
本研究在英格兰的一家救护车服务机构和一家医院进行,采用中断时间序列设计。在 18 个月的时间里,每三周进行一次为期一周的疑似中风患者识别,在此期间实施培训。如果患者有中风的诊断(EMS 或医院),则将其纳入研究。使用二项(分组)逻辑回归分析研究干预对调度诊断准确性的影响。
在实施前阶段,EMD 正确识别了 63%的中风患者;这一比例在实施后提高到 80%。这一变化具有统计学意义(p=0.003),反映了在识别中风患者方面相对于实施前阶段的改善,无论是在实施期间(OR=4.10 [95%CI 1.58 至 10.66])还是实施后阶段(OR=2.30 [95%CI 1.07 至 4.92])。对于被调度为中风的最终诊断为中风的患者,从呼叫到救护车到达现场之间的时间在实施前和实施后阶段分别缩短了 2.8 分钟(95%CI -0.2 至 5.9 分钟,p=0.068),这一差异具有边缘统计学意义。
这是第一项旨在开发、实施和评估培训包对 EMD 识别中风影响的研究。培训导致 EMD 调度中风患者的比例显著增加;救护车从呼叫到到达现场的时间也可能略有缩短。培训包已得到英国中风论坛教育和培训的认可,并可免费在线获取。