Use of client-centered virtual reality in rehabilitation after stroke: a feasibility study
Bibliographic record
Abstract
Patient-centered virtual reality (VR) programs could assist in the functional recovery of people after a stroke. OBJECTIVES To analyze the feasibility of a rehabilitation protocol using client-centered VR and to evaluate changes in occupational performance and social participation. METHODS This was a mixed methods study. Ten subacute and chronic stroke patients participated in the rehabilitation program using games in non-immersive VR for 40 minutes/day, three days/week, for 12 weeks. Sociodemographic information was collected and the outcome variables included were the Canadian Occupational Performance Measure (COPM) and the Participation Scale. A field diary was used to record the frequency of attendance and adherence of participants and an interview was conducted at the end of program. RESULTS There were significant and clinically-relevant statistical improvements in the COPM performance score (p < 0.001; CI = 1.29 - 4.858) and in the COPM satisfaction score (p < 0.001; CI = 1.37 - 5.124), with a difference greater than 4.28 points for performance and 4.58 points for satisfaction. The change in the scores for participation was statistically significant (p = 0.046), but there was no clinical improvement (dcohen = -0.596, CI = -1.862 - 0.671). The majority of participants reported more than 75% consecutive attendance of sessions and there was 100% adherence to the program. In the interviews, the participants described their post-stroke difficulties; how the video game motivated their engagement in rehabilitation; and the improvement of occupational performance and social participation after participating in the program. CONCLUSIONS VR is a viable tool for the rehabilitation of stroke patients with functional gains, mainly regarding occupational performance and performance satisfaction.
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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 | 0.003 |
| 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".