Tele-Active Rehabilitation for adolescents with concussion: a feasibility study
Bibliographic record
Abstract
Objectives: Active rehabilitation involving subsymptom threshold exercise and education/support promotes recovery among adolescents with concussion, but is typically delivered in-person, which limits accessibility. This study explored the feasibility of a remotely delivered Tele-Active Rehabilitation (Tele-AR) intervention for adolescents with concussion. Methods: A precase-postcase series design was used. Three adolescents (ages 14-17 years) experiencing postconcussion symptoms ≥2 weeks postinjury participated with a parent. The Tele-AR intervention was a 6-week programme supervised by a rehabilitation clinician through weekly videoconferencing appointments and included (1) aerobic exercise, (2) coordination drills and (3) comprehensive education and support. Feasibility indicators included rates of recruitment, retention, adherence, as well as adolescent and parent ratings of technology usability using an adapted Telehealth Usability Questionnaire and satisfaction using the Client Satisfaction Questionnaire-8. Prechanges to postchanges in postconcussion symptoms, illness perceptions, and occupational performance and satisfaction were also assessed. Results: Rates of recruitment (n=3/4) and retention (n=3/3) achieved success criteria. Adherence was high among all participants (77%-100%), and there were no adverse events. Participant ratings of technology usability and satisfaction approached 90%. All participants reported improvements in postconcussion symptoms and illness perception. Clinically significant positive changes were also observed in occupational performance and satisfaction. Conclusions: The Tele-AR intervention appears feasible in a small group of adolescents with concussion, and positive changes were observed in postconcussion symptoms, illness perception and occupational performance. Further study is warranted to evaluate the efficacy of this approach, which may enable access to care that supports recovery in adolescents with concussion.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".