Lavabre Killien, Marjanovic Nicolas, Oriot Denis, Chenu Mathilde, Gransagne Adrien, Gentilleau Michel, Moreau Anthony, Contal Paul, Mimoz Olivier, Drugeon Bertrand
Service des urgences adultes et SAS 86 / SMUR, CHU de Poitiers, 2 rue de la Milétrie, 86021, Poitiers Cedex, France.
INSERM CIC-1402, IS- ALIVE, Université de Poitiers, Poitiers, France.
Scand J Trauma Resusc Emerg Med. 2025 Apr 3;33(1):56. doi: 10.1186/s13049-025-01370-x.
Road traffic injuries are the leading cause of death among young people worldwide. While advances in vehicle safety have reduced some of the risks, the speed and quality of pre-hospital care are critical to prevent fatalities. In France, patients are cared for by medical teams and firefighters who must work together as closely as possible to ensure the best possible survival rate. However, there is a lack of standardised scales to assess the performance of these multidisciplinary teams. This study aimed to create and validate a roadside rescue skills assessment scale, the RoadRes-Q scale, for healthcare teams.
We used a two-round Delphi method to develop the RoadRes-Q scale. A panel of 9 international roadside rescue experts, including 7 firefighters and 2 engineers in road rescue equipment, agreed to participate. The scale covers five key areas: healthcare provider protection, site securing, vehicle securing, first aid delivery, and patient extrication. The final version was tested during two one-day simulation-based training sessions, each involving 22 participants: 6 healthcare staff, 14 firefighters, and 2 simulated victims. Assessors completed the scale during and after each scenario, focusing on internal consistency and inter-observer reliability.
The RoadRes-Q scale consists of 60 items. Internal consistency was excellent (Cronbach's alpha of 0.86), indicating that items were non-redundant and consistently measured the required competencies. However, inter-observer reliability was low (intra-class correlation coefficient of 0.48), suggesting variability between assessors. Satisfaction among participants to the simulation-based training courses was high, and their knowledge increased.
The RoadRes-Q scale proved to be a valid and reliable scale for evaluating both technical and non-technical skills. While internal consistency was strong, improvements are needed in inter-observer reliability. Structured training for assessors and video-based assessments could enhance reproducibility. The RoadRes-Q scale has the potential for assessing the quality and safety of care provided by healthcare teams in roadside rescue situations.
As the study did not involve interventional research or patient participation, ethics committee approval was not required, but it received approval from the scientific referents of the Faculty of Medicine of Poitiers, and participants provided informed consent for using their anonymised data.
道路交通伤害是全球年轻人死亡的主要原因。虽然车辆安全方面的进步降低了一些风险，但院前护理的速度和质量对于预防死亡至关重要。在法国，患者由医疗团队和消防员进行护理，他们必须尽可能紧密合作以确保尽可能高的存活率。然而，缺乏标准化的量表来评估这些多学科团队的表现。本研究旨在创建并验证一种用于医疗团队的路边救援技能评估量表——RoadRes-Q量表。
我们采用两轮德尔菲法来制定RoadRes-Q量表。一个由9名国际路边救援专家组成的小组同意参与，其中包括7名消防员和2名道路救援设备工程师。该量表涵盖五个关键领域：医护人员保护、现场安全保障、车辆安全保障、急救实施和患者解救。最终版本在两次为期一天的基于模拟的培训课程中进行了测试，每次培训有22名参与者：6名医护人员、14名消防员和2名模拟受害者。评估人员在每个场景期间及之后完成该量表，重点关注内部一致性和观察者间信度。
RoadRes-Q量表由60个项目组成。内部一致性非常好（Cronbach's α系数为0.86），表明项目无冗余且一致地测量了所需能力。然而，观察者间信度较低（组内相关系数为0.48），表明评估人员之间存在差异。参与者对基于模拟的培训课程的满意度很高，并且他们的知识有所增加。
RoadRes-Q量表被证明是一种评估技术和非技术技能的有效且可靠的量表。虽然内部一致性很强，但观察者间信度仍需改进。对评估人员进行结构化培训和基于视频的评估可以提高可重复性。RoadRes-Q量表有潜力评估医疗团队在路边救援情况下提供的护理质量和安全性。
由于该研究不涉及干预性研究或患者参与，无需伦理委员会批准，但它获得了普瓦捷医学院科学顾问的批准，并且参与者为使用其匿名数据提供了知情同意。
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