Feasibility of the trial procedures for a randomized controlled trial of a community-based peer-led wheelchair training program for older adults
Bibliographic record
Abstract
BACKGROUND: A novel peer-led manual wheelchair (MWC) training program may support the training needs of older adults, but establishing program feasibility is a pragmatic first step. The purpose of this study was to evaluate the feasibility of a peer-led Wheelchair training Self-Efficacy Enhanced for Use (WheelSeeU) program. METHODS: Forty MWC users (mean age 65 years) were randomly assigned to the experimental (WheelSeeU) or control group. Feasibility indicators of process, resources, management, and safety were collected throughout the study. RESULTS: The consent rate was 49%. Participant retention rate was 90% post-intervention and 87.5% at follow-up (6 months). All participants reported perceived benefits from WheelSeeU. Participants and trainers adhered to the study protocol (>90%), and fidelity of the WheelSeeU intervention was attained (>90%). There were no adverse events. CONCLUSIONS: WheelSeeU is an innovative and feasible approach for providing MWC training to older adults that is accessible beyond initial rehabilitation without increased clinician burden. With minor modifications, it is feasible that WheelSeeU can be administered to older adults living in the community. TRIAL REGISTRATION: NCT01838135.
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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 | 0.084 | 0.087 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.033 | 0.006 |
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".