From the Medical College of Georgia (W.J.W.), Augusta, GA; Department of Otolaryngology (E.H.C.), University of Arizona, Tucson, AZ; Departments of Basic Science Education and Health Systems & Implementation Science (S.T.), Virginia Tech Carilion School of Medicine, Roanoke, VA; University of Michigan School of Nursing (D.R.L.), Ann Arbor, MI; and WVU Rockefeller Neuroscience Institute (J.H.S.), Morgantown, WV.
Simul Healthc. 2024 Jan 1;19(1S):S98-S111. doi: 10.1097/SIH.0000000000000767.
INTRODUCTION: The use of extended reality (XR) technologies, including virtual, augmented, and mixed reality, has increased within surgical and procedural training programs. Few studies have assessed experiential learning- and patient-based outcomes using XR compared with standard training methods. METHODS: As a working group for the Society for Simulation in Healthcare, we used Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and a PICO strategy to perform a systematic review of 4238 articles to assess the effectiveness of XR technologies compared with standard training methods. Outcomes were grouped into knowledge, time-to-completion, technical proficiency, reactions, and patient outcomes. Because of study heterogeneity, a meta-analysis was not feasible. RESULTS: Thirty-two studies met eligibility criteria: 18 randomized controlled trials, 7 comparative studies, and 7 systematic reviews. Outcomes of most studies included Kirkpatrick levels of evidence I-III (reactions, knowledge, and behavior), while few reported level IV outcomes (patient). The overall risk of bias was low. With few exceptions, included studies showed XR technology to be more effective than standard training methods in improving objective skills and performance, shortening procedure time, and receiving more positive learner ratings. However, XR use did not show significant differences in gained knowledge. CONCLUSIONS: Surgical or procedural XR training may improve technical skill development among trainees and is generally favored over standard training methods. However, there should be an additional focus on how skill development translates to clinically relevant outcomes. We recommend longitudinal studies to examine retention and transfer of training to clinical settings, methods to improve timely, adaptive feedback for deliberate practice, and cost analyses.
简介:扩展现实(XR)技术的应用,包括虚拟现实、增强现实和混合现实,在手术和程序培训计划中有所增加。与标准培训方法相比,使用 XR 评估基于经验学习和患者的结果的研究很少。
方法:作为医疗模拟学会的一个工作组,我们使用了系统评价和荟萃分析的首选报告项目以及 PICO 策略,对 4238 篇文章进行了系统评价,以评估 XR 技术与标准培训方法相比的有效性。结果分为知识、完成时间、技术熟练程度、反应和患者结果。由于研究的异质性,无法进行荟萃分析。
结果:32 项研究符合入选标准:18 项随机对照试验、7 项对照研究和 7 项系统评价。大多数研究的结果包括知识、行为和反应等水平的证据 I-III,而很少有报道表明存在 IV 级结果(患者)。总体偏倚风险较低。除了少数例外,纳入的研究表明,与标准培训方法相比,XR 技术在提高客观技能和表现、缩短手术时间和获得更多积极的学习者评价方面更有效。然而,XR 的使用并没有显示出在获得的知识方面有显著差异。
结论:手术或程序的 XR 培训可能会提高学员的技术技能发展,并且通常比标准培训方法更受欢迎。然而,应该更加关注技能发展如何转化为临床相关结果。我们建议进行纵向研究,以检查培训在临床环境中的保留和转移情况,以及改善及时、适应性反馈以进行刻意练习的方法,并进行成本分析。
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