Evidence map›Paper›PMID 40111351›Full record

ArticleJMIR serious games2025

Personal Protection Equipment Training as a Virtual Reality Game in Immersive Environments: Development Study and Pilot Randomized Controlled Trial.

Liang Zhou, Haoyang Liu, Mengjie Fan, Jiahao Liu, Xingyao Yu, Xintian Zhao, Shaoxing Zhang

Abstract read
In one paragraph

Article in JMIR serious games, 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

7 authors.

Liang ZhouInstitute of Medical Technology, Peking University Health Science Center, Beijing, China.ORCID http://orcid.org/0000-0002-0462-4131
Haoyang LiuNational Institute of Health Data Science, Peking University, Beijing, China.ORCID http://orcid.org/0009-0002-5524-198X
Mengjie FanInstitute of Medical Technology, Peking University Health Science Center, Beijing, China.ORCID http://orcid.org/0000-0002-7351-4091
Jiahao LiuNational Institute of Health Data Science, Peking University, Beijing, China.ORCID http://orcid.org/0009-0005-5039-2756
Xingyao YuVisualization Research Center (VISUS), University of Stuttgart, Stuttgart, Germany.ORCID http://orcid.org/0000-0002-4249-1755
Xintian ZhaoDepartment of Healthcare-Associated Infection Management, Peking University Third Hospital, Beijing, China.ORCID http://orcid.org/0009-0005-6701-0769
Shaoxing ZhangDepartment of Otolaryngological, Peking University Third Hospital, 49 Huayuanbei Road, Beijing, 100191, China, 86 13811403347.ORCID http://orcid.org/0000-0001-5088-2126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Proper donning and doffing of personal protection equipment (PPE) and hand hygiene in the correct spatial context of a health facility is important for the prevention and control of nosocomial infections. On-site training is difficult due to the potential infectious risks and shortages of PPE, whereas video-based training lacks immersion which is vital for the familiarization of the environment. Virtual reality (VR) training can support the repeated practice of PPE donning and doffing in an immersive environment that simulates a realistic configuration of a health facility. Objective: This study aims to develop and evaluate a VR simulation focusing on the correct event order of PPE donning and doffing, that is, the item and hand hygiene order in the donning and doffing process but not the detailed steps of how to don and doff an item, in an immersive environment that replicates the spatial zoning of a hospital. The VR method should be generic and support customizable sequencing of PPE donning and doffing. Methods: An immersive VR PPE training tool was developed by computer scientists and medical experts. The effectiveness of the immersive VR method versus video-based learning was tested in a pilot study as a randomized controlled trial (N=32: VR group, n=16; video-based training, n=16) using questionnaires on spatial-aware event order memorization questions, usability, and task workload. Trajectories of participants in the immersive environment were also recorded for behavior analysis and potential improvements of the real environment of the health facility. Results: Comparable sequence memorization scores (VR mean 79.38, SD 12.90 vs video mean 74.38, SD 17.88; P=.37) as well as National Aeronautics and Space Administration Task Load Index scores (VR mean 42.9, SD 13.01 vs video mean 51.50, SD 20.44; P=.16) were observed. The VR group had an above-average usability in the System Usability Scale (mean 74.78>70.0) and was significantly better than the video group (VR mean 74.78, SD 13.58 vs video mean 57.73, SD 21.13; P=.009). The analysis and visualization of trajectories revealed a positive correlation between the length of trajectories and the completion time, but neither correlated to the accuracy of the memorization task. Further user feedback indicated a preference for the VR method over the video-based method. Limitations of and suggestions for improvements in the study were also identified. Conclusions: A new immersive VR PPE training method was developed and evaluated against the video-based training. Results of the pilot study indicate that the VR method provides training quality comparable to video-based training and is more usable. In addition, the immersive experience of realistic settings and the flexibility of training configurations make the VR method a promising alternative to video instructions.

Indexed as

human computer interactionnosocomial infections controlpersonal protection equipmentPPEvirtual reality trainingvisualization

Identifiers

PMID40111351
PMCPMC11949087

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.