An Investigation of Virtual Reality Nature Experiences in Patients With Metastatic Breast Cancer: Secondary Analysis of a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Connection with nature has well-established physical and psychological benefits. However, women with metastatic breast cancer (MBC) are often unable to access nature because of physical limitations, psychological barriers, and treatment demands. Virtual reality (VR) nature experiences offer an alternative means of connecting with nature and may be of particular benefit to patients with cancer who are house- or hospital-bound. OBJECTIVE: This study aims to explore whether VR nature experiences are associated with physical and psychological benefits for women with MBC who are disconnected with nature. METHODS: This secondary analysis of a previous randomized controlled crossover trial recruited participants from the emailing lists of breast cancer support organizations. Participants were provided VR headsets for daily use in their homes for over 3 weeks. In the first week, participants used 1 of 2 VR nature experiences (Ripple or Happy Place) daily, followed by a 1-week washout period, before using the other VR experience every day for the final week. Outcomes assessed changes between baseline and postintervention scores in quality of life (EQ-5D-5L), pain (Brief Pain Inventory Short Form), fatigue (Functional Assessment of Chronic Illness Therapy-fatigue), depression (Depression, Anxiety, and Stress Scale-depression), anxiety (Depression, Anxiety, and Stress Scale-anxiety), and spiritual well-being (Functional Assessment of Chronic Illness Therapy- Spiritual Well-being) and investigated whether benefits were greater in participants who were not strongly connected with nature at baseline. RESULTS: A total of 38 women with MBC completed the VR interventions and were included in the analyses. Participants reported significantly less fatigue (P=.001), less depression (P<.001), and greater quality of life (P=.02) following the interventions than at baseline. Women with a weaker connection to nature reported greater fatigue (P=.03), depression (P=.006), and anxiety (P=.001), and poorer spirituality (P=.004) than their strongly connected counterparts. Only those with a weaker baseline connection with nature showed improvements in depression following the intervention (P=.03), with similar trends observed in fatigue (P=.07) and quality of life (P=.10). CONCLUSIONS: This study provides preliminary evidence that feeling connected with nature is associated with better physical and psychological status in patients with MBC and that VR nature interventions might be beneficial for this clinical population. Future studies should focus on activities that encourage connection with nature (rather than simply exposure to nature) and investigate the aspects of VR nature interventions that have the greatest therapeutic potential. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12619001480178; https://tinyurl.com/et6z3vac.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".