Evidence map›Paper›PMID 39664325›Full record

ArticleFrontiers in psychiatry2024

A virtual reality-based self-guided training on identification of negative automatic thoughts in healthy adults: a mixed-methods feasibility study.

Bixi Yang, Chenxi Liao, Yuqing Yang, Binbin Shi, Caidi Zhang, Chunbo Li

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Bixi Yang *Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chenxi Liao *Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuqing YangShanghai Yangpu District Mental Health Center, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Binbin ShiShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Caidi ZhangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chunbo LiShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive restructuring (CR) is an evidence-based psychological technique for depression. However, face-to-face CR is not easily accessible. Digital CR interventions often overlook the difficulties individuals experiencing depression encounter in identifying their negative automatic thoughts (NAT), leading to suboptimal outcomes. Virtual Reality (VR) has potential advantages in assisting the identification of NAT in CR intervention. Objective: The aim of this preliminary feasibility study is to assess the efficacy, acceptability and safety of a VR-based self-guided training on the identification of negative automatic thoughts (VR-STINAT) for depression, as well as to evaluate the user experience. Methods: In a mixed methods study, 20 healthy participants underwent VR-STINAT and completed a semi-structured interview, followed by post-training homework. The VR-STINAT includes three modules: psychological education, NAT identification training in VR scenarios, and practice in personally experienced scenarios. Effectiveness was measured via Thought Record Skills Assessment (TRSA) of homework and Cognitive Therapy Awareness Scale (CTAS). Acceptability was measured using an adapted Technology Acceptance Model and duration of training. Safety was measured via Simulator Sickness Questionnaire and self-reported negative emotions. Qualitative material was analyzed using thematic analysis. Results: The VR-STINAT was acceptable, with an average rating of 80.68%. The accuracy of NAT identification in TRSA reached 84.55%, and CTAS correctness reached 76.67%. The majority of participants experienced minimal or no side effects, although a few (10%, 2/20) reported relatively severe fatigue and craniofacial pain. Thematic analysis reviewed four themes: effectiveness, acceptability, advantages of VR, difficulties in use and suggestions for improvement. Most participants indicated that they've learned how to identify their NAT through VR-STINAT (85%, 17/20), which was engaging (90%, 18/20) and easy to use (60%, 12/20). Conclusion: This study provides preliminary evidence that self-guided training for the identification of negative automatic thoughts related to depression using VR is feasible. Future studies are needed to compare the efficacy of VR with other intervention modalities in people with depression.

Indexed as

cognitive behavioral therapycognitive restructuringfeasibilitynegative automatic thoughtsvirtual reality

Identifiers

PMID39664325
PMCPMC11632459

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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.