A Mixed Reality-based Tele-Supervised Ultrasound Education Platform on 5G network compared to Direct Supervision: Prospective Randomized Pilot Trial.

IF 3.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
JMIR Serious Games Pub Date : 2024-11-20 DOI:10.2196/63448
Minha Kim, Meong Hi Son, Suhyeon Moon, Won Chul Cha, Ik Joon Jo, Hee Yoon
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引用次数: 0

Abstract

Background: Ultrasound education is transitioning from in-person training to remote methods using mixed reality (MR) and 5G networks. Previous studies are mainly experimental, lacking randomized controlled trials in direct training scenarios.

Objective: This study aimed to compare an MR-based tele-supervised ultrasound education platform on private 5G networks with traditional in-person training for novice doctors.

Methods: Conducted at a tertiary academic hospital from November to December 2023, the prospective unblinded randomized controlled pilot study assigned doctors without prior abdominal ultrasound education experience to either the tele-supervision group (TG; n = 20) or direct supervision group (DG; n = 20). Participants received a 15-min video lecture, conducted ultrasound on a phantom, and had 18 images scored by two blinded experts. Additionally, the TG received five minutes of training on basic operation of a head-mounted display (HMD). Communication between doctors in the TG and supervisors was facilitated through an HMD, whereas those in the DG interacted directly with supervisors. Primary outcomes were image quality scores, while secondary outcomes included procedure time, number of supervisor interventions, user experience using NASA-Task load index (NASA-TLX), System Usability Scale (SUS), and self-confidence through pre- and post-surveys.

Results: Image quality scores and procedure times showed no significant differences between the groups (TG: 66.8 ± 10.3 vs DG: 66.8 ± 10.4, P = .844; TG: 23.8 ± 8.0 min vs DG: 24.0 ± 8.1 min, P = .946). However, the TG engaged in more educational interventions (TG: 4.0 ± 2.5 vs DG: 0.8 ± 1.1, P <.001), reflecting a more interactive training environment. TG participants reported lower NASA-TLX scores for mental demand (43.8 ± 24.8 vs 60.6 ± 22.4, P = .03), effort (43.1 ± 22.9 vs 67.9 ± 17, P < .001), and frustration (26.9 ± 20.3 vs 45.2 ± 27.8, P = .022), indicating a reduced cognitive load compared the DG. The mean SUS score was also higher in the TG (66.6 ± 9.1 vs 60.2 ± 10.4, P =.046), suggesting better usability. Both groups showed significant improvements in confidence, with the TG showing notably greater improvement in abdominal ultrasound proficiency (Pre-education ━ TG: 1.6 ± 0.9 vs DG: 1.7 ± 0.9, P =.728; Post-education ━ TG: 3.8 ± 0.9 vs DG: 2.8 ± 1.0, P =.006).

Conclusions: Although no significant differences in image quality scores were observed between groups, considerable differences in positive educational interactions, workload, and usability were evident. These findings emphasize the platform's potential to enhance the ultrasound training experience, suggesting more interactive and efficient learning.

Clinicaltrial: ClinicalTrials.gov, NCT06171828.

基于混合现实的 5G 网络远程监督超声教育平台与直接监督的比较:前瞻性随机试点试验。
背景:超声教育正从面对面培训过渡到使用混合现实(MR)和 5G 网络的远程方法。以往的研究主要是实验性的,缺乏直接培训场景下的随机对照试验:本研究旨在比较基于 MR 的 5G 私人网络远程监督超声波教育平台与针对新手医生的传统面对面培训:这项前瞻性非盲法随机对照试验研究于2023年11月至12月在一家三级学术医院进行,将没有腹部超声教育经验的医生分配到远程监督组(TG;n = 20)或直接监督组(DG;n = 20)。参与者接受 15 分钟的视频讲座,在模型上进行超声检查,并由两名盲法专家对 18 幅图像进行评分。此外,TG 组还接受了五分钟的头戴式显示器 (HMD) 基本操作培训。TG 医生与主管之间的交流通过 HMD 进行,而 DG 医生则直接与主管进行交流。主要结果是图像质量得分,次要结果包括手术时间、主管干预次数、使用美国航空航天局任务负荷指数(NASA-TLX)的用户体验、系统可用性量表(SUS)以及通过前后调查获得的自信心:两组的图像质量得分和手术时间无明显差异(TG:66.8 ± 10.3 vs DG:66.8 ± 10.4,P = .844;TG:23.8 ± 8.0 min vs DG:24.0 ± 8.1 min,P = .946)。然而,TG 参与了更多的教育干预(TG:4.0 ± 2.5 vs DG:0.8 ± 1.1,P 结论:TG 和 DG 的图像质量得分没有显著差异:虽然各组之间在图像质量评分上没有明显差异,但在积极的教育互动、工作量和可用性方面存在明显差异。这些发现强调了该平台在增强超声培训体验方面的潜力,表明该平台能提供更多的互动和更高效的学习:临床试验:ClinicalTrials.gov,NCT06171828。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Serious Games
JMIR Serious Games Medicine-Rehabilitation
CiteScore
7.30
自引率
10.00%
发文量
91
审稿时长
12 weeks
期刊介绍: JMIR Serious Games (JSG, ISSN 2291-9279) is a sister journal of the Journal of Medical Internet Research (JMIR), one of the most cited journals in health informatics (Impact Factor 2016: 5.175). JSG has a projected impact factor (2016) of 3.32. JSG is a multidisciplinary journal devoted to computer/web/mobile applications that incorporate elements of gaming to solve serious problems such as health education/promotion, teaching and education, or social change.The journal also considers commentary and research in the fields of video games violence and video games addiction.
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