A Tele-Rehabilitation Home Exercise Program for Ambulatory Adults with Cerebral Palsy: A Feasibility Study
Bibliographic record
Abstract
AIMS: Examine adherence, facilitators and barriers, satisfaction and trends in effectiveness of a telerehabilitation home exercise program (TRHExP) with remote coaching for adults with cerebral palsy (CP). METHODS: Six ambulatory adults with CP (range: 21-38 years, mean: 27, SD: 6.9; 4 females), participated in an 8-week TRHExP designed to increase physical activity (PA) to 150 min per week (min/wk). Pre, post, and process measures included functional mobility tests, patient reported measures, semi-structured interviews, and exercise observation. Individualized programs were based on clinical guidelines and personal goals. Weekly coaching sessions reviewed adherence, performance, and progression. RESULTS: Four of six participants completed the 8-week program; two dropped out midway through due to life circumstances. PA frequency was a median of 4 ×/wk and a median of 150 min/wk. TRHExP was the primary contributor to PA. Participant time and energy were barriers. Completing activity logs and perceived improvement were facilitators. Personal goal performance increased to 75% and satisfaction to 100%. Changes to self-report measures and functional tests were equivocal. CONCLUSION: Ambulatory adults with CP may benefit from individualized TRHExP with weekly remote coaching to increase PA. Tailored telerehabilitation PA programs with remote coaches may foster health promotion for adults with CP.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".