Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Research Protocols

Date Submitted: Oct 31, 2024
Date Accepted: May 29, 2025

The final, peer-reviewed published version of this preprint can be found here:

The Effectiveness of Virtual Reality–Based Mindfulness Interventions for Managing Stress, Anxiety, and Depression: Protocol for a Systematic Review and Meta-Analysis of Randomized Controlled Trials

Shankar R, Bundele A, Mukhopadhyay A

The Effectiveness of Virtual Reality–Based Mindfulness Interventions for Managing Stress, Anxiety, and Depression: Protocol for a Systematic Review and Meta-Analysis of Randomized Controlled Trials

JMIR Res Protoc 2025;14:e68231

DOI: 10.2196/68231

PMID: 40587846

PMCID: 12260462

The Effectiveness of Virtual Reality-Based Mindfulness Interventions for Managing Stress, Anxiety, and Depression: Protocol for a Systematic Review and Meta-Analysis of Randomized Controlled Trials

  • Ravi Shankar; 
  • Anjali Bundele; 
  • Amartya Mukhopadhyay

ABSTRACT

Background:

Mindfulness interventions have demonstrated effectiveness in improving mental health outcomes, but traditional delivery methods face accessibility and engagement challenges. Virtual reality (VR) technology offers an innovative, immersive approach to mindfulness training, yet the evidence regarding VR-based mindfulness interventions has not been systematically evaluated.

Objective:

This systematic review aims to evaluate the effectiveness of VR-based mindfulness interventions compared to traditional mindfulness practices, other active interventions, or no intervention in improving mental health outcomes among adults.

Methods:

We will search multiple electronic databases (PubMed, Web of Science, Embase, CINAHL, MEDLINE, The Cochrane Library, PsycINFO, Scopus) for randomized controlled trials published in English that evaluate VR-based mindfulness interventions in adult populations. Primary outcomes will include stress, anxiety, and depression, while secondary outcomes will encompass mindfulness levels, well-being, and user experience. Two independent reviewers will screen studies, extract data, and assess risk of bias using the Cochrane RoB 2 tool. If appropriate, a random-effects meta-analysis will be conducted, with heterogeneity assessed using the I² statistic. Subgroup analyses will explore potential moderators of intervention effectiveness. The GRADE approach will be used to evaluate the certainty of evidence.

Results:

The protocol has been registered with PROSPERO (CRD42024585899). The comprehensive search strategy has been developed, and the systematic review is expected to be completed by end of 2024. Findings will be presented through forest plots, summary of findings tables, and narrative synthesis.

Conclusions:

This systematic review will provide valuable insights into the effectiveness of VR-based mindfulness interventions for improving mental health outcomes. The findings will inform clinical practice regarding the potential of VR technology as a complementary or alternative approach to traditional mindfulness practices and guide future research in this emerging field. Clinical Trial: International Prospective Register of Systematic Reviews (PROSPERO) CRD42024585899; https://tinyurl.com/288evyku


 Citation

Please cite as:

Shankar R, Bundele A, Mukhopadhyay A

The Effectiveness of Virtual Reality–Based Mindfulness Interventions for Managing Stress, Anxiety, and Depression: Protocol for a Systematic Review and Meta-Analysis of Randomized Controlled Trials

JMIR Res Protoc 2025;14:e68231

DOI: 10.2196/68231

PMID: 40587846

PMCID: 12260462

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.