TeleRehabilitation with Aims to Improve Lower extremity recovery in community-dwelling individuals who have had a stroke: protocol for a multisite, parallel group, assessor-blinded, randomised attention-controlled trial
Bibliographic record
Abstract
INTRODUCTION: Telerehabilitation is an accessible service delivery model that may support innovative lower extremity rehabilitation programmes that extend the stroke recovery continuum into the community. Unfortunately, there is limited evidence on the provision of exercises for lower extremity recovery after stroke delivered using telerehabilitation. In response, we developed the TeleRehabilitation with Aims to Improve Lower extremity recovery poststroke (TRAIL) programme, a 4-week progressive exercise and self-management intervention delivered synchronously using video-conferencing technology. Our primary hypothesis is that individual within 1-year poststroke who participate in TRAIL will experience significantly greater improvements in functional mobility than individuals in an attention-controlled education programme (EDUCATION). METHODS AND ANALYSIS: In this multisite, parallel group, assessor-blinded randomised attention-controlled trial, 96 community-living stroke survivors within 1-year poststroke will be recruited from five sites (Vancouver, Winnipeg, Toronto, London and Halifax, Canada) from the CanStroke Recovery Trials Platform which is a network of Canadian hospital sites that are affiliated with academic institutions to facilitate participant recruitment and quality trial practices. Participants will be randomised on a 1:1 basis to TRAIL or EDUCATION. Participants randomised to TRAIL will receive eight telerehabilitation sessions where they will perform exercises and receive self-management support to improve lower extremity recovery from a TRAIL physical therapist. The primary outcome will be measured using the Timed Up and Go. Secondary outcomes include lower extremity muscle strength, functional balance, motor impairment, balance self-efficacy, health-related quality of life and health service use for our economic evaluation. Measurements will be taken at baseline, immediately after the intervention, 3-month and 6-month postintervention. ETHICS AND DISSEMINATION: Ethics approval for this research has been obtained by all participating sites. All study participants will provide their informed consent prior to enrolling them in the study. Findings from this trial will be disseminated in peer-reviewed journals and presentations at international scientific meetings. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov, NCT04908241.
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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 | 0.041 | 0.041 |
| Meta-epidemiology (narrow) | 0.008 | 0.004 |
| Meta-epidemiology (broad) | 0.014 | 0.007 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.064 | 0.013 |
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".