Virtual reality for emergency medicine training on traffic accident injury treatment: a randomized controlled trial
Objective This study aimed to evaluate the effectiveness of a virtual reality (VR)-based training program in improving emergency physicians’ ability to manage multi-casualty traffic injuries, compared to conventional training methods. Methods A randomized controlled trial was conducted with 76 emergency physicians from a single hospital. Participants were randomly assigned to either the VR group (n = 38) or the control group (n = 38). The VR group underwent immersive training using a VR simulation of multi-casualty traffic accidents, while the control group received traditional lectures and mannequin-based simulations. Primary outcomes included on-site assessment, triage accuracy, and decision-making in transportation, assessed immediately post-training. Secondary outcomes were participant satisfaction and confidence levels. Results The VR group performed significantly better in on-site assessments (P < 0.05), triage accuracy (P < 0.05), and transportation decision-making (P < 0.05) compared to the control group. The VR group also reported higher satisfaction and confidence in applying learned skills in real-world situations (P < 0.05). Conclusion VR-based training enhances emergency physicians’ performance in managing multi-casualty traffic accidents, demonstrating its potential as a scalable and effective educational tool for emergency medical training.
Authors
- Zhe Li (ORCID: https://orcid.org/0000-0002-6487-727X)
- Wei Wang (ORCID: https://orcid.org/0000-0003-3240-1485)
- Zheng Huang (ORCID: https://orcid.org/0000-0002-7245-0620)
Institutions
- Guangxi Medical University (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
Publication Details
- Journal
- Frontiers in Virtual Reality
- Published
- 2025-02-26
- DOI
- https://doi.org/10.3389/frvir.2025.1518016
- Citations
- 2
- Primary Topic
- Simulation-Based Education in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.33