Evidence map›Paper›PMID 34554097›Full record

ArticleJMIR mental health2021

Virtual Reality for Supporting the Treatment of Depression and Anxiety: Scoping Review.

Nilufar Baghaei, Vibhav Chitale, Andrej Hlasnik, Lehan Stemmet, Hai-Ning Liang, Richard Porter

Registry-linked trialAbstract readScoping Review
In one paragraph

Article in JMIR mental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07081425 (The Effect of Virtual Reality Intervention on Pain and Anxiety During Drain Removal), which is not on this map. Cited by 59 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 8 pooled it
–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.

NCT07081425 nacompletednot on this mapstarted 2023, after this paper: background citation

The Effect of Virtual Reality Intervention on Pain and Anxiety During Drain Removal: Randomized Controlled Study

TypeinterventionalSponsorKocaeli UniversityRan2023 to 2024Enrolled60ConditionsVirtual Reality, Pain Management, Pain Management After Surgery, Anxiety After SurgeryArmsVRG Group
3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Trial
  10. Trial
  11. Trial
  12. Observational
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Observational
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.

Nilufar Baghaei *Department of Natural and Computational Sciences, Massey University, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-1776-7075
Vibhav Chitale *Department of Natural and Computational Sciences, Massey University, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-1568-5474
Andrej Hlasnik *Otago Polytechnic Auckland International Campus, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-5099-6956
Lehan Stemmet *Auckland Institute of Studies, Auckland, New Zealand.ORCID https://orcid.org/0000-0001-5796-0959
Hai-Ning Liang *Department of Computing, Xi'an Jiaotong-Liverpool University, Suzhou, China.ORCID https://orcid.org/0000-0003-3600-8955
Richard Porter *Department of Psychological Medicine, University of Otago, Christchurch, New Zealand.ORCID https://orcid.org/0000-0002-8695-3966

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental health conditions pose a major challenge to health care providers and society at large. The World Health Organization predicts that by 2030, mental health conditions will be the leading cause of disease burden worldwide. The current need for mental health care is overwhelming. In New Zealand, 1 in 6 adults has been diagnosed with common mental disorders, such as depression and anxiety disorders, according to a national survey. Cognitive behavioral therapy (CBT) has been shown to effectively help patients overcome a wide variety of mental health conditions. Virtual reality exposure therapy (VRET) might be one of the most exciting technologies emerging in the clinical setting for the treatment of anxiety and depression.

objectiveThis study aims to investigate the virtual reality (VR) technologies currently being used to help support the treatment of depression and anxiety. We also aim to investigate whether and how CBT is included as part of VRET and look at the VR technologies and interventions that have been used in recent studies on depression and anxiety.

methodsWe performed a scoping review. To identify significant studies, we decided to use already aggregated sources from the Google Scholar database. Overall, the goal of our search strategy was to limit the number of initial results related to VR in mental health to only a relevant minimum.

resultsUsing our defined keywords, Google Scholar identified >17,300 articles. After applying all the inclusion and exclusion criteria, we identified a total of 369 articles for further processing. After manual evaluation, 34 articles were shortlisted; of the 34 articles, 9 (26%) reported the use of CBT with VR. All of the articles were published between 2017 and 2021. Out of the 9 studies, CBT was conducted within a VR environment in 5 (56%) studies, whereas in the remaining 4 (44%) studies, CBT was used as an addition to VRET. All 9 studies reported the use of CBT either in vivo or in a virtual environment to be effective in supporting the treatment of anxiety or depression.

conclusionsMost studies demonstrated the use of VR to be effective for supporting the treatment of anxiety or depression in a range of settings and recommended its potential as a tool for use in a clinical environment. Even though standalone headsets are much easier to work with and more suitable for home use, the shift from tethered VR headsets to standalone headsets in the mental health environment was not observed. All studies that looked at the use of CBT either in vivo or in a virtual environment found it to be effective in supporting the treatment of anxiety or depression.

Indexed as

anxietyCBTdepressionmental healthvirtual reality

Identifiers

PMID34554097
PMCPMC8498902

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.