Evidence map›Paper›PMID 40796635›Full record

ArticleScientific reports2025

Instructor-Led VR training in medical emergency rescue education for road traffic accidents: a questionnaire-based study.

Zhe Li, Guozheng Qiu, Wan Chen, Lei Shi, Yutao Tang, Guoqing Qin, Jingshu Mo, Liwen Lyu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zhe LiDepartment of Emergency, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China.
Guozheng QiuDepartment of Emergency, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China.
Wan ChenDepartment of Emergency, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China.
Lei ShiDepartment of Emergency, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China.
Yutao TangDepartment of Emergency, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China.
Guoqing QinDepartment of Emergency, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China.
Jingshu MoDepartment of Emergency, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China.
Liwen LyuDepartment of Emergency, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China. iculvliwen@163.com.

Funding

Guangxi Health Commission self-funded project Z-A20240110Guangxi Medical and Health Appropriate Technology Development and Promotion Application Project S2023013The Key Research and Development Program of Guangxi Zhuang Autonomous Region AB17292091
6 · The paper itself

Abstract

The application of Virtual Reality (VR) in medical emergency training, particularly in road traffic accident (RTA) management, remains underexplored. While VR offers immersive and dynamic learning environments, the effectiveness of instructor-led VR training in large-scale, emergency medical education is not yet fully understood. This study aimed to evaluate the effectiveness of instructor-led virtual reality (VR) training in medical emergency rescue education, particularly in the context of road traffic accidents. Effectiveness was assessed through participant satisfaction, perceived engagement, and self-reported learning outcomes. A cross-sectional survey was conducted among 300 emergency medical professionals who attended one-hour instructor-led VR sessions delivered through a series of workshops. Participants completed a post-training questionnaire consisting of Likert-scale items assessing course design, content practicality, clarity of instruction, VR interest, and overall satisfaction. Quantitative data were analyzed using regression and mediation analyses to identify the predictors of overall evaluation scores. Regression analysis identified course practicality (Estimate = 0.131, P < 0.001) and VR interest (Estimate = 0.357, P < 0.001) as the strongest predictors of overall satisfaction. Mediation analysis revealed that the effect of course practicality on satisfaction was partially mediated by VR interest (mediation effect = 32.5%). Participants consistently rated the sessions highly, with an overall evaluation score of 4.82 ± 0.35 out of 5. Sentiment analysis of 227 qualitative responses indicated 70.67% expressed positive opinions, particularly on the engaging and practical aspects of the VR-based approach. While the findings support the potential of instructor-led VR to enhance learner engagement and comprehension in high-stakes scenarios, limitations include the cross-sectional design and lack of long-term follow-up. Instructor-led VR training appears to be a practical, engaging, and scalable method for emergency medical education. Future research should assess its long-term impact on skill retention and real-world application.

Indexed as

Accidents, TrafficVirtual RealityAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesInstructor-led VR trainingMedical emergency educationOverall evaluationParticipant satisfactionRoad traffic accidents

Identifiers

PMID40796635
PMCPMC12343776

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.