‘Godrevy Project’: virtual reality for symptom control and well-being in oncology and palliative care – a non-randomised pre-post interventional trial
Bibliographic record
Abstract
Objective: The 'Godrevy Project' is an interventional trial designed to determine the effectiveness of immersive virtual reality (VR) on the holistic symptom control and well-being in oncology and palliative care patients. The primary objective of this study was to determine whether VR changed the revised Edmonton Symptom and Assessment System (ESAS-r) score representing an effective improvement in symptom control and well-being. Methods and analysis: This study reports on 60 participants recruited from hospital inpatient oncology and palliative care lists, to participate in an unblinded, VR intervention. Participants were included aged >18 years with a diagnosis of cancer, receiving inpatient treatment of systemic anticancer therapy. Impact evaluation on symptoms was measured using the ESAS-r pre-VR and post-VR intervention. For ethical reasons, participants were not randomised. Results: From the 60 inpatients recruited, 58 participants were included for analysis. Participants recruited were aged 19-84 years with female (58%) and male (42%) participation. The primary outcome of the study demonstrated significant improvement in ESAS-r scores for symptoms and well-being. Total ESAS-r scores showed an improvement of 42% compared with baseline, with well-being ESAS-r scores improving 51%. The most common side effect was drowsiness. There were no adverse events related to study participation. Conclusion: The 'Godrevy Project' successfully demonstrates the feasible, effective use of VR on symptom control and well-being in oncology and palliative care patients. This study demonstrates VR as an effective, patient controlled, non-pharmacological intervention without significant side effects. This interventional trial is well placed to support future research and improve clinical practice. Trial registration number: NCT04821466.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".