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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

注意 心理干预 心理信息 奇纳 人口 焦虑 随机对照试验 科克伦图书馆 心理健康 医学 系统回顾 临床心理学 心理学 梅德林 心理治疗师 精神科 法学 环境卫生 政治学 外科
作者
Ravi Shankar,Anjali Bundele,Amartya Mukhopadhyay
出处
期刊:JMIR Research Protocols [JMIR Publications]
卷期号:14: e68231-e68231 被引量:2
标识
DOI:10.2196/68231
摘要

Background While traditional mindfulness-based interventions demonstrate effectiveness in improving mental health outcomes, their delivery methods face significant challenges related to accessibility and engagement. Geographic barriers to trained facilitators, time constraints for in-person sessions, and participant dropout rates of 15% to 30% due to perceived monotony limit intervention reach and effectiveness. Virtual reality (VR) technology offers innovative solutions through multisensory immersion that creates presence, the subjective feeling of “being there,” enhancing attention regulation and reducing external distractions. Meta-analyses demonstrate that VR interventions achieve higher engagement rates and lower dropout compared to traditional delivery methods; however, systematic evaluation of VR-based mindfulness interventions remains limited. Objective Following the population, intervention, comparison, and outcome framework, this systematic review protocol aims to evaluate whether VR-based mindfulness interventions (intervention), compared to traditional face-to-face mindfulness interventions, digital mindfulness apps, active nonmindfulness controls, and waitlist or no-treatment groups (comparisons), effectively reduce stress, anxiety, and depression while improving mindfulness and well-being (outcomes) in adults aged 18 to 65 years from both general and clinical populations with diagnosed mental health conditions (population). Methods We will conduct comprehensive searches across 8 databases (PubMed, Web of Science, Embase, CINAHL, MEDLINE, the Cochrane Library, PsycINFO, and Scopus) from inception to June 2025, including gray literature and unpublished trials. Eligible studies include randomized controlled trials evaluating VR-based mindfulness interventions using immersive technology (head-mounted displays and cave environments) with explicit mindfulness content in adult populations. Primary outcomes include stress, anxiety, and depression; secondary outcomes encompass mindfulness levels, well-being, and user experience. Two independent reviewers will screen studies, extract data, and assess risk of bias using the Cochrane Risk of Bias 2 tool with standardized criteria. Meta-analysis will use random effects models with inverse variance weighting, calculating standardized mean differences with 95% CIs. Preplanned subgroup analyses will examine intervention duration (<2 wk, 2-8 wk, and >8 wk), VR technology type (head-mounted displays vs cave environments), population characteristics (clinical vs nonclinical samples), and mindfulness technique type, with heterogeneity quantification using prespecified I2 thresholds. Results Database searches will commence in June 2025, with data extraction planned for August 2025 to September 2025 and systematic review completion planned by December 2025. Expected results include pooled effect sizes for primary outcomes, forest plots displaying individual and combined study effects with comprehensive subgroup analyses, and heterogeneity statistics with Grading of Recommendations Assessment, Development, and Evaluation evidence quality assessments. Conclusions The review will provide definitive evidence regarding VR-based mindfulness interventions’ effectiveness for mental health outcomes. The findings will inform clinical practice guidelines for integrating VR-based mindfulness, guide technology development specifications, and establish evidence-based recommendations for health care policy regarding therapeutic VR reimbursement and regulatory frameworks. Trial Registration PROSPERO CRD42024585899; https://tinyurl.com/288evyku International Registered Report Identifier (IRRID) PRR1-10.2196/68231
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