Virtual reality for the treatment of perinatal mental health: a rapid scoping review
Bibliographic record
Abstract
OBJECTIVES: To evaluate the available virtual reality (VR) applications for treating perinatal mental health disorders, focusing on their effectiveness in reducing symptoms such as anxiety and depression, which are common during the perinatal period. DESIGN: Rapid scoping review adhering to the Joanna Briggs Institute guidelines and Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Review (PRISMA-ScR), with adjustments based on the Cochrane Rapid Reviews guidelines. DATA SOURCES: Medline, PsychInfo, Embase, Evidence-Based Medicine (EBM) Reviews using Ovid and Web of Science were searched through 20 February 2024. ELIGIBILITY CRITERIA: Studies were included if they were written in English or French, provided details on the VR technology, described the assessment of perinatal mood disorders and specified the outcomes measured and the methodological approach used. Review and editorial articles were excluded as well as abstracts and posters. DATA EXTRACTION AND SYNTHESIS: One reviewer extracted study characteristics (eg, design, participants, VR components, outcomes) and a second reviewer verified accuracy; study quality was assessed using the National Institute of Health (NIH) Quality Assessment of Controlled Intervention Studies tool, and findings were synthesised narratively and in tabular form. RESULTS: A total of 425 records were identified. After removing duplicates, 308 records were screened by title and abstract. Of these, 74 full texts were assessed for eligibility, resulting in 10 studies being included for data extraction. These final studies were primarily conducted in high-income countries from 2019 to 2024. 8 of 10 (80%) were randomised controlled trials, employing VR through head-mounted displays. Studies predominantly targeted non-severe cases of anxiety and depression, with VR environments ranging from nature scenes to therapeutic content. Results suggest a positive impact of VR interventions on reducing anxiety and depression levels among participants. CONCLUSIONS: Studying VR appears to be a promising avenue for developing options to manage perinatal mental health. The immersive nature of VR may provide opportunities for emotional relief and support during this critical period through engaging experiences which can reduce symptoms of anxiety and depression. However, the body of research remains limited, indicating a need for further studies to explore the long-term benefits and potential integration of VR into perinatal healthcare practices. The promising results from initial studies encourage continued exploration and development within this innovative therapeutic field. STUDY REGISTRATION: https://doi.org/10.17605/OSF.IO/VFZC7.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.040 | 0.104 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.011 |
| Bibliometrics | 0.027 | 0.018 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".