Heo Sejin, Moon Suhyeon, Kim Minha, Park Minsu, Cha Won Chul, Son Meong Hi
Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea.
JMIR Serious Games. 2022 Jul 22;10(3):e38433. doi: 10.2196/38433.
BACKGROUND: Recently, the demand for mechanical ventilation (MV) has increased with the COVID-19 pandemic; however, the conventional approaches to MV training are resource intensive and require on-site training. Consequently, the need for independent learning platforms with remote assistance in institutions without resources has surged. OBJECTIVE: This study aimed to determine the feasibility and effectiveness of an augmented reality (AR)-based self-learning platform for novices to set up a ventilator without on-site assistance. METHODS: This prospective randomized controlled pilot study was conducted at Samsung Medical Center, Korea, from January to February 2022. Nurses with no prior experience of MV or AR were enrolled. We randomized the participants into 2 groups: manual and AR groups. Participants in the manual group used a printed manual and made a phone call for assistance, whereas participants in the AR group were guided by AR-based instructions and requested assistance with the head-mounted display. We compared the overall score of the procedure, required level of assistance, and user experience between the groups. RESULTS: In total, 30 participants completed the entire procedure with or without remote assistance. Fewer participants requested assistance in the AR group compared to the manual group (7/15, 47.7% vs 14/15, 93.3%; P=.02). The number of steps that required assistance was also lower in the AR group compared to the manual group (n=13 vs n=33; P=.004). The AR group had a higher rating in predeveloped questions for confidence (median 3, IQR 2.50-4.00 vs median 2, IQR 2.00-3.00; P=.01), suitability of method (median 4, IQR 4.00-5.00 vs median 3, IQR 3.00-3.50; P=.01), and whether they intended to recommend AR systems to others (median 4, IQR 3.00-5.00 vs median 3, IQR 2.00-3.00; P=.002). CONCLUSIONS: AR-based instructions to set up a mechanical ventilator were feasible for novices who had no prior experience with MV or AR. Additionally, participants in the AR group required less assistance compared with those in the manual group, resulting in higher confidence after training. TRIAL REGISTRATION: ClinicalTrials.gov NCT05446896; https://beta.clinicaltrials.gov/study/NCT05446896.
背景：最近，随着新冠疫情的爆发，对机械通气（MV）的需求增加；然而，传统的MV培训方法资源密集，需要现场培训。因此，在没有资源的机构中，对具有远程协助功能的独立学习平台的需求激增。 目的：本研究旨在确定一个基于增强现实（AR）的自学平台对新手在无现场协助的情况下设置呼吸机的可行性和有效性。 方法：本前瞻性随机对照试验于2022年1月至2月在韩国三星医疗中心进行。招募没有MV或AR经验的护士。我们将参与者随机分为两组：手册组和AR组。手册组的参与者使用印刷手册并打电话寻求帮助，而AR组的参与者则在基于AR的指导下进行操作，并通过头戴式显示器寻求帮助。我们比较了两组在操作总分、所需协助水平和用户体验方面的差异。 结果：总共30名参与者在有或没有远程协助的情况下完成了整个操作。与手册组相比，AR组寻求帮助的参与者更少（7/15，47.7%对14/15，93.3%；P = 0.02）。与手册组相比，AR组需要协助的步骤数量也更少（n = 13对n = 33；P = 0.004）。在关于信心的预开发问题方面（中位数3，四分位数间距2.50 - 4.00对中位数2，四分位数间距2.00 - 3.00；P = 0.01）、方法的适用性方面（中位数4，四分位数间距4.00 - 5.00对中位数3，四分位数间距3.00 - 3.50；P = 0.01）以及他们是否打算向他人推荐AR系统方面（中位数4，四分位数间距3.00 - 5.00对中位数3，四分位数间距2.00 - 3.00；P = 0.002），AR组的评分更高。 结论：对于没有MV或AR经验的新手来说，基于AR的机械通气设置指导是可行的。此外，与手册组相比，AR组的参与者需要的协助更少，培训后信心更高。 试验注册：ClinicalTrials.gov NCT05446896；https://beta.clinicaltrials.gov/study/NCT05446896
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