Acceptance and use of extended reality in surgical training: an umbrella review.

IF 6.3 4区 医学 Q1 MEDICINE, GENERAL & INTERNAL Systematic Reviews Pub Date : 2024-12-04 DOI:10.1186/s13643-024-02723-w
Esmaeel Toni, Elham Toni, Mahsa Fereidooni, Haleh Ayatollahi
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Abstract

Background: Extended reality (XR) technologies which include virtual, augmented, and mixed reality have significant potential in surgical training, because they can help to eliminate the limitations of traditional methods. This umbrella review aimed to investigate factors that influence the acceptance and use of XR in surgical training using the unified theory of acceptance and use of technology (UTAUT) model.

Methods: An umbrella review was conducted in 2024 by searching various databases until the end of 2023. Studies were selected based on the predefined eligibility criteria and analyzed using the components of the UTAUT model. The quality and risk of bias of the selected studies were assessed, and the findings were reported descriptively.

Results: A total of 44 articles were included in this study. In most studies, XR technologies were used for surgical training of orthopedics, neurology, and laparoscopy. Based on the UTAUT model, the findings indicated that XR technologies improved surgical skills and procedural accuracy while simultaneously reducing risks and operating room time (performance expectancy). In terms of effort expectancy, user-friendly systems were accessible for the trainees with various levels of expertise. From a social influence standpoint, XR technologies enhanced learning by providing positive feedback from experienced surgeons during surgical training. In addition, facilitating conditions emphasized the importance of resource availability and addressing technical and financial limitations to maximize the effectiveness of XR technologies in surgical training.

Conclusions: XR technologies significantly improve surgical training by increasing skills and procedural accuracy. Although adoption is facilitated by designing user-friendly interfaces and positive social influences, financial and resource challenges must be overcome, too. The successful integration of XR into surgical training necessitates careful curriculum design and resource allocation. Future research should focus on overcoming these barriers, so that XR can fully realize its potential in surgical training.

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在外科训练中接受和使用扩展现实:概括性回顾。
背景:包括虚拟、增强和混合现实在内的扩展现实(XR)技术在外科训练中具有巨大的潜力,因为它们可以帮助消除传统方法的局限性。本综述旨在利用技术接受和使用统一理论(UTAUT)模型,探讨影响外科培训中接受和使用XR的因素。方法:通过检索各类数据库,于2024年至2023年底进行总括性综述。根据预定义的资格标准选择研究,并使用UTAUT模型的组件进行分析。对所选研究的质量和偏倚风险进行评估,并对研究结果进行描述性报告。结果:本研究共纳入44篇文献。在大多数研究中,XR技术被用于骨科、神经病学和腹腔镜的外科训练。基于UTAUT模型,研究结果表明,XR技术提高了手术技巧和程序准确性,同时降低了风险和手术室时间(预期性能)。在预期工作方面,具有不同专业知识水平的受训者可以使用用户友好的系统。从社会影响的角度来看,XR技术通过在手术培训中提供经验丰富的外科医生的积极反馈来增强学习。此外,促进条件强调了资源可用性和解决技术和财务限制的重要性,以最大限度地提高XR技术在外科培训中的有效性。结论:XR技术通过提高技能和操作准确性显著改善了手术训练。虽然通过设计用户友好的界面和积极的社会影响促进了采用,但也必须克服财政和资源方面的挑战。成功地将XR整合到外科训练中需要仔细的课程设计和资源分配。未来的研究应着眼于克服这些障碍,使XR在外科培训中充分发挥其潜力。
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来源期刊
Systematic Reviews
Systematic Reviews Medicine-Medicine (miscellaneous)
CiteScore
8.30
自引率
0.00%
发文量
241
审稿时长
11 weeks
期刊介绍: Systematic Reviews encompasses all aspects of the design, conduct and reporting of systematic reviews. The journal publishes high quality systematic review products including systematic review protocols, systematic reviews related to a very broad definition of health, rapid reviews, updates of already completed systematic reviews, and methods research related to the science of systematic reviews, such as decision modelling. At this time Systematic Reviews does not accept reviews of in vitro studies. The journal also aims to ensure that the results of all well-conducted systematic reviews are published, regardless of their outcome.
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