Evidence map›Paper›PMID 42155011›Full record

Trial reportJMIR formative research2026

Metaverse-Based Virtual Reality for Remote Anatomy Education: Pilot Randomized Controlled Trial.

Jason Ha, Andrew Gan, Ameen Mahmood, Ahmed Salih, Princewill Ukpeh, Clement Yong, Adharsh Prasad, Arushi Rastogi, Ellen Martin, Swati Mulchandani and 8 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR formative research, 2026. 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

18 authors.

Jason Ha *Bristol Medical School, University of Bristol, First Floor, 5 Tyndall Avenue, Bristol, England, BS8 1UD, United Kingdom, 44 7904492270.ORCID 0009-0000-1719-5543
Andrew Gan *Birmingham Medical School, University of Birmingham, Birmingham, England, United Kingdom.ORCID 0009-0000-5112-9478
Ameen MahmoodFaculty of Medicine, Imperial College London, London, England, United Kingdom.ORCID 0000-0002-1017-3242
Ahmed SalihFaculty of Medicine, Imperial College London, London, England, United Kingdom.ORCID 0000-0002-6470-3325
Princewill UkpehFaculty of Medicine, Imperial College London, London, England, United Kingdom.ORCID 0009-0005-4030-9955
Clement YongUCL Medical School, University College London, London, England, United Kingdom.ORCID 0009-0004-1457-3683
Adharsh PrasadEdinburgh Medical School, University of Edinburgh, Edinburgh, Scotland, United Kingdom.ORCID 0009-0000-2326-6336
Arushi RastogiEdinburgh Medical School, University of Edinburgh, Edinburgh, Scotland, United Kingdom.ORCID 0009-0004-9687-3216
Ellen MartinSchool of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom.ORCID 0009-0007-0823-4054
Swati MulchandaniSchool of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom.ORCID 0009-0006-5919-5764
Keshav KrishnanLeeds School of Medicine, University of Leeds, Leeds, England, United Kingdom.ORCID 0000-0003-1556-2527
Nicole Salgado FernandezBuckingham Medicine School, University of Buckingham, Buckingham, England, United Kingdom.ORCID 0000-0002-0019-8630
Krish GuptaLeeds School of Medicine, University of Leeds, Leeds, England, United Kingdom.ORCID 0009-0009-3287-235X
Florence ChangSchool of Medicine, Cardiff University, Cardiff, Wales, United Kingdom.ORCID 0009-0006-8269-3657
Srija GullapalliBirmingham Medical School, University of Birmingham, Birmingham, England, United Kingdom.ORCID 0009-0005-4559-0184
Leena AbdallaBarts and The London School of Medicine and Dentistry, Queen Mary University of London, London, England, United Kingdom.ORCID 0009-0008-3662-038X
Mazen KafienahGKT School of Medical Education, King's College London, London, England, United Kingdom.ORCID 0009-0009-0377-7732
Jagtar DhandaFaculty of Medicine, Imperial College London, London, England, United Kingdom.ORCID 0000-0002-8753-3066

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traditional anatomy teaching relies on cadaveric dissection and 2D resources, which often require in-person attendance and may limit spatial understanding. Virtual reality (VR) provides an immersive, remote alternative that supports 3D visualization from home. Recent evidence suggests that while VR may yield comparable factual knowledge gains to 2D methods, its primary value lies in enhancing learner engagement, motivation, and perceived educational value. Objective: This pilot randomized controlled trial compares remote synchronized VR with didactic animated anatomy lectures for the teaching of tracheostomy anatomy. Methods: Participants were recruited via convenience sampling through the VRiMS (Virtual Reality in Medicine and Surgery) Surgical Society network. All participants first attended a synchronous 20-minute online lecture delivered by a consultant surgeon. They were then individually randomized to one of 2 groups using a computer-generated sequence. Allocation was concealed until the intervention; however, participants and researchers were unblinded. The intervention group completed a 10-minute metaverse-based VR session, delivered by a consultant surgeon via 3D Organon's Medverse platform on the PICO 4 Ultra headset. The control group completed a 10-minute prerecorded 2D animated lecture, accessed on their personal device. Participants then swapped to the other modality. Data were collected via Google Forms at 3 intervals (baseline, postintervention, and postcrossover) to assess confidence, spatial understanding, and knowledge (10-item multiple-choice questions). The analysis of nonparametric data utilized Wilcoxon signed-rank tests for within-group changes and Mann-Whitney U tests for between-group differences. Results: Twenty-four medical students from 11 United Kingdom and Irish medical schools participated. Adherence was 100%, with all participants completing their assigned 10-minute intervention and all assessment points. Ninety-two percent of participants (n=22) reported no prior tracheostomy anatomy teaching. Additionally, 83% (n=20) had no prior remote-synchronized VR anatomy teaching experience. Anatomical confidence improved significantly in the VR group compared with animation (mean change 1.58, SD 1.00 vs mean 0.50, SD 0.80, P=.01). Knowledge scores improved significantly in both groups (VR: mean 1.75, SD 1.54, P=.007; animation: mean 2.83, SD 1.70, P=.003), with no significant postintervention difference between groups (P=.46). VR participants reported significantly superior spatial understanding across all measured domains (all P≤.009). These included depth perception (3.75 vs 2.58, P=.009), appreciation of anatomy from different viewpoints (4.25 vs 2.33, P=.001), mental reconstruction from varying angles (3.83 vs 2.08, P=.002), and spatial depth supporting anatomical understanding (4.08 vs 2.08, P=.001). Following the completion of both modalities, participants rated VR as more engaging (mean 4.54, SD 0.78) and more educationally effective (mean 4.29, SD 0.95) than animation. Conclusions: Remote VR teaching is feasible and engaging and enhances spatial understanding compared to animation. While knowledge gains were comparable between modalities, VR improved learner confidence and perceived 3D comprehension. Hence, VR may represent a scalable adjunct or alternative to traditional anatomy teaching.

Indexed as

AnatomyEducation, DistanceVirtual RealityAdultFemaleHumansMalePilot ProjectsTracheostomyanatomy educationextended realitymedical educationmetaverseremote learningtracheostomyvirtual reality

Identifiers

PMID42155011
PMCPMC13186309

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.