Hylander Johan, Gyllencreutz Lina, Haney Michael, Westman Anton
Department of Diagnostics and Intervention, Surgery, Umeå University, Umeå, Sweden.
Department of Nursing, Umeå University, Umeå, Sweden.
JMIR Form Res. 2025 Mar 28;9:e58542. doi: 10.2196/58542.
The optimal response to a major incident in a road tunnel involves efficient decision-making among the responding emergency services (fire and rescue services, police, and ambulances). The infrequent occurrence of road tunnel incidents may entail unfamiliarity with the tunnel environment and lead to uncertain and inefficient decision-making among emergency services commanders. Ambulance commanders have requested tunnel-specific learning materials to improve their preparedness.
We aimed to assess decision-making among ambulance commanders in simulated road tunnel incidents after they had participated in a tunnel-specific e-learning course designed to support timely and correct decisions in this context.
We conducted a web-based intervention study involving 20 participants from emergency medical services in Sweden who were randomly allocated to a test or control group. The control group (n=10, 50%) received a lecture on general incident management, while the intervention group (n=10, 50%) completed an e-learning course consisting of 5 modules focused on tunnel structure, safety, and collaboration in response. The participants took part in 2 simulation-based assessments for ambulance commander decision-making in major road tunnel incidents 1 month and 6 months after their allocated study intervention. In each simulation, the participants decided on the best course of action at 15 independent decision points, designed as multiple-choice questions. The primary outcome was the correct response to the question regarding how to appropriately enter the road tunnel. The secondary outcome measurements were correct or incorrect responses and the time taken to decide for each of the 15 decisions. Limited in-depth follow-up interviews were conducted with participants (n=5, 25%), and collected data were analyzed using qualitative content analysis.
All 20 participants completed the first simulation, and 16 (80%) completed the second. The main finding was that none (0/20, 0%) of the participants correctly answered the question on entering the tunnel system in the 1-month assessment. There were no significant differences between the groups (P=.59; 2-sample test of proportions) in the second assessment. The e-learning course was not associated with more correct answers at the first assessment, including accounting for participant factors (mean difference between groups: -0.58 points, 95% CI -1.88 to 0.73; P=.36). The e-learning course was also not associated with a shorter time to completion compared to the nonintervention group in either assessment. Interviews identified 3 categories linked to the main outcome: information (lack of), risk (limited knowledge and equipment), and mitigation (access to maps and aide-mémoire).
Participation in a tunnel-specific e-learning course did not result in a measurable change in ambulance commanders' decision-making behavior during simulated road tunnel incidents. The observed hesitation to enter the road tunnel system may have several plausible causes, such as the lack of actionable intelligence and tunnel-specific plans. This novel approach to assessing commander decision-making may be transferable to other educational settings.
道路隧道重大事故的最佳应对措施需要应急服务部门(消防和救援部门、警察和救护车)之间高效地做出决策。道路隧道事故发生频率较低,可能导致对应急服务指挥官而言,对隧道环境不熟悉,进而导致决策不确定和效率低下。救护车指挥官要求提供特定于隧道的学习材料,以提高他们的准备程度。
我们旨在评估救护车指挥官在参加了旨在支持在此背景下及时做出正确决策的特定于隧道的电子学习课程后,在模拟道路隧道事故中的决策情况。
我们进行了一项基于网络的干预研究,涉及来自瑞典紧急医疗服务部门的20名参与者,他们被随机分配到测试组或对照组。对照组(n = 10,50%)接受了关于一般事故管理的讲座,而干预组(n = 10,50%)完成了一个由5个模块组成的电子学习课程,这些模块侧重于隧道结构、安全和应对协作。参与者在分配的研究干预1个月和6个月后,参加了2次针对主要道路隧道事故中救护车指挥官决策的基于模拟的评估。在每次模拟中,参与者在15个独立的决策点上决定最佳行动方案,这些决策点设计为多项选择题。主要结果是对关于如何正确进入道路隧道问题的正确回答。次要结果测量是对15个决策中每个决策的正确或错误回答以及做出决定所花费的时间。对参与者(n = 5,25%)进行了有限的深入随访访谈,并使用定性内容分析对收集的数据进行了分析。
所有20名参与者完成了第一次模拟,16名(80%)完成了第二次模拟。主要发现是,在1个月的评估中,没有参与者(0/20,0%)正确回答关于进入隧道系统的问题。在第二次评估中,两组之间没有显著差异(P = 0.59;两样本比例检验)。在第一次评估中,电子学习课程与更多正确答案无关,包括考虑参与者因素(组间平均差异:-0.58分,95%CI -1.88至0.73;P = 0.36)。在任何一次评估中,与非干预组相比,电子学习课程也与完成时间较短无关。访谈确定了与主要结果相关的3个类别:信息(缺乏)、风险(知识和设备有限)和缓解措施(获取地图和备忘录)。
参加特定于隧道的电子学习课程并没有导致救护车指挥官在模拟道路隧道事故中的决策行为发生可测量的变化。观察到的对进入道路隧道系统的犹豫可能有几个合理的原因,例如缺乏可操作的情报和特定于隧道的计划。这种评估指挥官决策的新方法可能适用于其他教育环境。