辅助医务人员安全导航

Milad Delavary, M. Tremblay, Martin Lavallière
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摘要

背景:与其他职业司机相比,救护车司机更容易卷入致命或受伤的碰撞事故。研究目的:本研究是一项回顾性研究,旨在描述与救护人员碰撞事故有关的因素。研究方法:从蒙特利尔(加拿大魁北克省)的一家医疗辅助机构获得了超过 10 年(2010-2019 年)的数据,研究了救护车伤害和非伤害碰撞事故的数量与医疗辅助人员的经验、性别和年龄、碰撞事故发生的日期和时间、天气和路面状况、环境类型以及驾驶活动类型等不同特征之间的联系。通过描述性分析介绍了碰撞严重程度所涉及的特征分布。使用 Mann-Kendal 检验对每月和每年救护车碰撞事故的趋势进行评估。此外,还使用对数模型来研究这些因素对碰撞严重程度几率的影响。结果显示结果表明,虽然救护车每月碰撞事故没有明显减少的趋势,但每名辅助医务人员每年非伤害性碰撞事故的发生率却呈明显下降趋势。此外,与经验丰富的同事相比,经验较少的年轻司机更容易发生多次碰撞事故。此外,62%的伤害碰撞事故发生在辅助医务人员响应紧急呼叫时。Logit 模型证实,在非急救活动中,受伤碰撞的几率有所下降(几率比:0.48)。此外,十字路口和交通信号灯也是发生伤害碰撞事故风险最高的地点(分别为 43.5% 和 51%)。在这种情况下,发生在交通信号灯处的碰撞可使严重程度的几率增加 597%。结论这项研究表明,有关护理人员的预防性政策(如培训计划)应重点关注年轻、经验不足的护理人员和高风险地点,尤其是在执行紧急呼叫的驾驶过程中。为减少与工作相关的碰撞事故,需要对急救人员开展更有针对性的宣传和培训计划。
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Navigating Paramedics' Safety
Background: Ambulance drivers are more likely to be involved in fatal or injury collisions compared to other professional drivers. Study Objective: This study is a retrospective study aimed to describe factors involved in paramedics’ collisions. Method: Spanning over 10 years of data (2010-2019) from a paramedic agency covering Montreal (Qc, Canada), links between the number of ambulance injuries and non-injury collisions and diverse characteristics like experience, sex, and age of paramedics, day and time of the collision, weather and surface conditions, type of environment, and type of driving activity. The distribution of characteristics involved in the severity of collisions is presented with descriptive analysis. The evaluation of trends of monthly and yearly ambulance collisions is conducted using the Mann-Kendal test. The logit model is also used to examine the effect of such factors on the odds of collision severity. Results: The results show although there is no significant reduction trend for the monthly ambulance collisions, the trend of incidence of annual non-injury collisions per paramedic is significantly decreasing. Also, young drivers with less experience are more involved in multiple collisions compared to their experienced colleagues. Furthermore, 62% of injury collisions happened when paramedics are responding to an emergency call. The logit model confirms a decrease in the odds of injury collisions (odds ratio: 0.48) during non-emergency activities. Also, intersections and traffic lights are the riskiest locations regarding injury collisions (43.5%, and 51%, respectively). In this case, collisions occurring at traffic lights can increase the odds of severity by 597%. Conclusion: This study exemplifies that preventive policy regarding paramedics (e.g., training programs) should focus on younger and less experienced paramedics, and risky locations, especially while driving on emergency calls. More oriented awareness and training programs for emergency respondents are required to reduce the number of work-related collisions.
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