Community-based exercise programs incorporating healthcare-community partnerships to improve function post-stroke: feasibility of a 2-group randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Despite the potential for community-based exercise programs supported through healthcare-community partnerships (CBEP-HCPs) to improve function post-stroke, insufficient trial evidence limits widespread program implementation and funding. We evaluated the feasibility and acceptability of a CBEP-HCP compared to a waitlist control group to improve everyday function among people post-stroke. METHODS: We conducted a 3-site, pilot randomized trial with blinded follow-up evaluations at 3, 6, and 10 months. Community-dwelling adults able to walk 10 m were stratified by site and gait speed and randomized (1:1) to a CBEP-HCP or waitlist control group. The CBEP-HCP involved a 1-h, group exercise class, with repetitive and progressive practice of functional balance and mobility tasks, twice a week for 12 weeks. We offered the exercise program to the waitlist group at 10 months. We interviewed 13 participants and 9 caregivers post-intervention and triangulated quantitative and qualitative results. Study outcomes included feasibility of recruitment, interventions, retention, and data collection, and potential effect on everyday function. RESULTS: Thirty-three people with stroke were randomized to the intervention (n = 16) or waitlist group (n = 17). We recruited 1-2 participants/month at each site. Participants preferred being recruited by a familiar healthcare professional. Participants described a 10- or 12-month wait in the control group as too long. The exercise program was implemented per protocol across sites. Five participants (31%) in the intervention group attended fewer than 50% of classes for health reasons. In the intervention and waitlist group, retention was 88% and 82%, respectively, and attendance at 10-month evaluations was 63% and 71%, respectively. Participants described inclement weather, availability of transportation, and long commutes as barriers to attending exercise classes and evaluations. Among participants in the CBEP-HCP who attended ≥ 50% of classes, quantitative and qualitative results suggested an immediate effect of the intervention on balance, balance self-efficacy, lower limb strength, everyday function, and overall health. CONCLUSION: The CBEP-HCP appears feasible and potentially beneficial. Findings will inform protocol revisions to optimize recruitment, and program and evaluation attendance in a future trial. TRIAL REGISTRATION: ClinicalTrials.gov , NCT03122626 . Registered April 21, 2017 - retrospectively registered.
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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 | 0.036 | 0.030 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.006 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".