Evidence map›Paper›PMID 42040081›Full record

SynthesisFrontiers in public health2026

The effect of virtual reality technology on the intervention of mental health problems among healthcare workers: a systematic review.

Tian Chen, Caixia Xie, Xiaoxia Dai

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

3 authors.

Tian ChenSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Caixia XieSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Xiaoxia DaiSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Systematic evaluation of the effectiveness of virtual reality technology in intervening in mental health problems of healthcare workers (PROSPERO: CRD42024558009). Methods: PubMed, The Cochrane Library, Embase, Web of Science, CNKI, China Wanfang Database, and China Biology Medicine disk were systematically searched from inception to May 21, 2025. We included experimental and quasi-experimental studies that examined the effects of VR interventions on mental health outcomes (stress, anxiety, burnout, or fatigue) in healthcare workers. Studies were excluded if they were not published in English or Chinese, if full texts or required data were unavailable, or if they were duplicate publications. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Methodological quality was assessed using the Effective Public Health Practice Project (EPHPP) tool, and meta-analyses were performed using RevMan 5.4 software. Results: 2,133 articles were identified through database searching. Ten studies published between 2021 and 2023, with 493 participants, were included in the review. Of these, there were three randomized cross-over trials, and seven were one-group pretest-posttest trials. The findings showed that both the stress and anxiety scores before and after the VR intervention were statistically significant [SMD = -0.64, 95% CI (-1.17, -0.11), Conclusion: Existing evidence suggests that virtual reality technology is effective in improving stress and anxiety in healthcare workers, but more high-quality studies are needed to further validate whether it can improve burnout and fatigue.

Indexed as

Health PersonnelMental DisordersVirtual RealityAnxietyBurnout, ProfessionalDigital HealthFatigueHumansanxietymental health problemnursephysicianstressvirtual reality technology

Identifiers

PMID42040081
PMCPMC13102604

What OpenQuestion holds

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Registered trials

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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.