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

BackgroundExtended 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.MethodsAn 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.ResultsA 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.ConclusionsXR 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.