Effectiveness of extended reality technologies in cardiopulmonary resuscitation training: a bayesian network meta-analysis.

IF 2.3 3区 医学 Q1 EMERGENCY MEDICINE
Xiangmin Li, Xinbo Yin, Guoqing Huang, Xiaokai Wang
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引用次数: 0

Abstract

Background: High-quality cardiopulmonary resuscitation (CPR) is critical to cardiac arrest patients. Extended Reality (XR) technologies, including Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR), provide immersive and interactive training, potentially enhancing CPR outcomes. This network meta-analysis compared the effectiveness of XR-based CPR training to traditional face-to-face methods.

Methods: A Bayesian network meta-analysis was conducted following PRISMA guidelines. We systematically searched PubMed, Cochrane Library, Web of Science, EMBASE, and CNKI for randomized controlled trials (RCTs) comparing XR-based and traditional CPR training. Primary outcomes included chest compression depth and rate; secondary outcomes assessed full chest wall recoil. The CINeMA tool (GRADE framework) was used to assess evidence quality. Statistical analyses were performed using Stata 15 SE and ADDIS software with random-effects models.

Results: 11 RCTs (1,190 participants) were included. MR showed the improvement in chest compression depth (SMD = 10.96; 95% CI, 0.95 to 20.82) compared to VR and traditional methods. For full chest wall recoil, AR outperformed VR (SMD = 48.57; 95% CI, 19.56 to 79.75) and traditional methods (SMD = 52.95; 95% CI, 25.94 to 80.48). However, no significant differences were observed for chest compression rate. SUCRA rankings placed MR as most effective for compression depth (87.4%) and AR for full chest wall recoil (99.1%). Evidence quality was moderate to high, with minor downgrades for imprecision. No publication bias was detected.

Conclusions: XR technologies, particularly MR and AR, significantly improve chest compression depth and full chest wall recoil in comparing with face to face CRP training, offering a flexible and engaging approach to CPR training. Further studies are needed to evaluate long-term skill retention and real-world impact.

Clinical trial number: Not applicable.

扩展现实技术在心肺复苏训练中的有效性:贝叶斯网络荟萃分析。
背景:高质量的心肺复苏(CPR)对心脏骤停患者至关重要。扩展现实(XR)技术,包括增强现实(AR)、虚拟现实(VR)和混合现实(MR),提供沉浸式和交互式培训,有可能提高心肺复苏术的效果。该网络荟萃分析比较了基于xr的心肺复苏术培训与传统面对面方法的有效性。方法:按照PRISMA指南进行贝叶斯网络meta分析。我们系统地检索了PubMed、Cochrane Library、Web of Science、EMBASE和CNKI,以比较基于xr和传统CPR训练的随机对照试验(rct)。主要结局包括胸按压深度和频率;次要结果评估全胸壁后坐力。使用CINeMA工具(GRADE框架)评估证据质量。统计学分析采用Stata 15se和ADDIS软件,采用随机效应模型。结果:纳入11项随机对照试验(1190名受试者)。MR显示胸压深度改善(SMD = 10.96;95% CI, 0.95 ~ 20.82)。对于全胸壁后坐力,AR优于VR (SMD = 48.57;95% CI, 19.56 ~ 79.75)和传统方法(SMD = 52.95;95% CI, 25.94 ~ 80.48)。然而,两组在胸部按压率上没有显著差异。SUCRA排名显示MR对压缩深度最有效(87.4%),AR对全胸壁后坐力最有效(99.1%)。证据质量为中高,因不精确而轻微降级。未发现发表偏倚。结论:与面对面的CRP训练相比,XR技术,特别是MR和AR技术,显著提高了胸部按压深度和全胸壁后坐力,为CPR训练提供了一种灵活而有吸引力的方法。需要进一步的研究来评估长期技能保留和现实世界的影响。临床试验号:不适用。
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
BMC Emergency Medicine
BMC Emergency Medicine Medicine-Emergency Medicine
CiteScore
3.50
自引率
8.00%
发文量
178
审稿时长
29 weeks
期刊介绍: BMC Emergency Medicine is an open access, peer-reviewed journal that considers articles on all urgent and emergency aspects of medicine, in both practice and basic research. In addition, the journal covers aspects of disaster medicine and medicine in special locations, such as conflict areas and military medicine, together with articles concerning healthcare services in the emergency departments.
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