Creation and validation of a roadside rescue skills scale for training pre-hospital medical teams: the RoadRes-Q scale.

IF 3 2区 医学 Q1 EMERGENCY MEDICINE
Lavabre Killien, Marjanovic Nicolas, Oriot Denis, Chenu Mathilde, Gransagne Adrien, Gentilleau Michel, Moreau Anthony, Contal Paul, Mimoz Olivier, Drugeon Bertrand
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引用次数: 0

Abstract

Background: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

Registration: 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.

创建并验证用于培训院前医疗团队的路边救援技能量表:RoadRes-Q 量表。
背景:道路交通伤害是全世界年轻人死亡的主要原因。虽然车辆安全方面的进步减少了一些风险,但院前护理的速度和质量对于防止死亡至关重要。在法国,病人由医疗团队和消防员照顾,他们必须尽可能紧密地合作,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。本研究旨在为医疗团队创建并验证路边救援技能评估量表,即RoadRes-Q量表。方法:采用两轮德尔菲法编制RoadRes-Q量表。一个由9名国际道路救援专家组成的小组同意参加,其中包括7名消防员和2名道路救援设备工程师。该标准涵盖五个关键领域:医疗保健提供者保护、现场安全、车辆安全、急救交付和患者解救。最终版本在两个为期一天的模拟培训课程中进行了测试,每个课程涉及22名参与者:6名医护人员、14名消防员和2名模拟受害者。评估者在每个场景期间和之后完成量表,重点关注内部一致性和观察者之间的可靠性。结果:RoadRes-Q量表由60个项目组成。内部一致性非常好(Cronbach’s alpha为0.86),表明项目没有冗余,并且一致地测量了所需的胜任力。然而,观察者间信度较低(类内相关系数为0.48),表明评估者之间存在差异。参与者对基于模拟的培训课程的满意度很高,他们的知识也增加了。结论:RoadRes-Q量表对技术技能和非技术技能都是有效可靠的量表。虽然内部一致性很强,但在观察员间的可靠性方面需要改进。对评估人员的结构化培训和基于视频的评估可以提高再现性。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的质量和安全。注册:由于本研究不涉及介入性研究和患者参与,因此不需要伦理委员会的批准,但已获得普瓦捷医学院科学参考人的批准,参与者对使用其匿名数据提供知情同意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.10
自引率
6.10%
发文量
57
审稿时长
6-12 weeks
期刊介绍: The primary topics of interest in Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine (SJTREM) are the pre-hospital and early in-hospital diagnostic and therapeutic aspects of emergency medicine, trauma, and resuscitation. Contributions focusing on dispatch, major incidents, etiology, pathophysiology, rehabilitation, epidemiology, prevention, education, training, implementation, work environment, as well as ethical and socio-economic aspects may also be assessed for publication.
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