Does the addition of virtual reality training to a standard program of inpatient rehabilitation improve sitting balance ability and function after stroke? Protocol for a single-blind randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Sitting ability and function are commonly impaired after stroke. Balance training has been shown to be helpful, but abundant repetitions are required for optimal recovery and patients must be motivated to perform rehabilitation exercises repeatedly to maximize treatment intensity. Virtual reality training (VRT), which allows patients to interact with a virtual environment using computer software and hardware, is enjoyable and may encourage greater repetition of therapeutic exercises. However, the potential for VRT to promote sitting balance has not yet been explored. The objective of this study is to determine if supplemental VRT-based sitting balance exercises improve sitting balance ability and function in stroke rehabilitation inpatients. METHODS/DESIGN: This is a single-site, single-blind, parallel-group randomized control trial. Seventy six stroke rehabilitation inpatients who cannot stand independently for greater than one minute but can sit for at least 20 minutes (including at least one minute without support) are being recruited from a tertiary-care dedicated stroke rehabilitation unit. Participants are randomly allocated to experimental or control groups. Both participate in 10-12 sessions of 30-45 minutes of VRT performed in sitting administered by a single physiotherapist, in addition to their traditional therapy. The experimental group plays five games which challenge sitting balance while the control group plays five games which minimize trunk lean. Outcome measures of sitting balance ability (Function in Sitting Test, Ottawa Sitting Scale, quantitative measures of postural sway) and function (Reaching Performance Scale, Wolf Motor Function Test, quantitative measures of the limits of stability) are administered prior to, immediately following, and one month following the intervention by a second physiotherapist blind to the participant's group allocation. DISCUSSION: The treatment of sitting balance post-stroke with VRT has not yet been explored. Results from the current study will provide important evidence for the use of low-cost, accessible VRT as an adjunct intervention to increase sitting balance in lower-functioning patients receiving inpatient rehabilitation. The motivating and enjoyable attributes of VRT may increase exercise dosage, leading to improved function and optimal results from rehabilitation. TRIAL REGISTRATION: https://clinicaltrials.gov/; Identifier: NCT02285933. Registered 06 November 2014. Funded by the Heart & Stroke Foundation of Canada and a generous donation from Tony & Elizabeth Graham.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.017 | 0.020 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.015 | 0.004 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.033 | 0.005 |
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".