Graduate Program in Translational Biology, Medicine, and Health, Virginia Tech, Blacksburg, Virginia, United States of America.
Department of Basic Science Education, Virginia Tech Carilion School of Medicine, Roanoke, Virginia, United States of America.
PLoS One. 2024 Mar 28;19(3):e0294626. doi: 10.1371/journal.pone.0294626. eCollection 2024.
Medical simulation offers a controlled environment for studying challenging clinical care situations that are difficult to observe directly. Overdose education and naloxone distribution (OEND) programs aim to train potential rescuers in responding to opioid overdoses, but assessing rescuer performance in real-life situations before emergency medical services arrive is exceedingly complex. There is an opportunity to incorporate individuals with firsthand experience in treating out-of-hospital overdoses into the development of simulation scenarios. Realistic overdose simulations could provide OEND programs with valuable tools to effectively teach hands-on skills and support context-sensitive training regimens. In this research, semi-structured interviews were conducted with 17 individuals experienced in responding to opioid overdoses including emergency department physicians, first responders, OEND program instructors, and peer recovery specialists. Two coders conducted qualitative content analysis using open and axial thematic coding to identify nuances associated with illicit and prescription opioid overdoses. The results are presented as narrative findings complemented by summaries of the frequency of themes across the interviews. Over 20 hours of audio recording were transcribed verbatim and then coded. During the open and axial thematic coding process several primary themes, along with subthemes, were identified, highlighting the distinctions between illicit and prescription opioid overdoses. Distinct contextual details, such as locations, clinical presentations, the environment surrounding the patient, and bystanders' behavior, were used to create four example simulations of out-of-hospital overdoses. The narrative findings in this qualitative study offer context-sensitive information for developing out-of-hospital overdose scenarios applicable to simulation training. These insights can serve as a valuable resource, aiding instructors and researchers in systematically creating evidence-based scenarios for both training and research purposes.
医疗模拟为研究挑战性的临床护理情况提供了一个可控的环境,这些情况直接观察起来很困难。过量用药教育和纳洛酮分发 (OEND) 计划旨在培训潜在的救援人员应对阿片类药物过量,但在紧急医疗服务到达之前,评估救援人员在现实生活情况下的表现非常复杂。有机会将有治疗院外过量用药第一手经验的个人纳入模拟场景的开发中。逼真的过量模拟可以为 OEND 计划提供有价值的工具,有效地教授实践技能,并支持与上下文相关的培训方案。在这项研究中,对 17 名有应对阿片类药物过量经验的个人进行了半结构化访谈,包括急诊医生、第一反应者、OEND 计划指导员和同伴康复专家。两名编码员使用开放式和轴向主题编码进行定性内容分析,以确定与非法和处方阿片类药物过量相关的细微差别。结果以叙事发现呈现,并附有访谈中主题出现频率的摘要。超过 20 小时的音频记录被逐字转录并进行编码。在开放式和轴向主题编码过程中,确定了几个主要主题,以及子主题,突出了非法和处方阿片类药物过量之间的区别。独特的上下文细节,如地点、临床表现、患者周围的环境和旁观者的行为,被用来创建四个院外过量的模拟场景。这项定性研究的叙事发现为开发适用于模拟培训的院外过量场景提供了与上下文相关的信息。这些见解可以作为宝贵的资源,帮助指导员和研究人员系统地为培训和研究目的创建基于证据的场景。