Feasibility of a Systematic, Comprehensive, One-to-One Training (SCOOT) program for new scooter users: study protocol for a randomized control trial
Bibliographic record
Abstract
BACKGROUND: Mobility scooters can facilitate community participation among individuals with mobility limitations. However, accidents are a serious concern with scooter use. Scooter training has been recommended to improve safety, but there are currently few validated programs available. Therefore, we developed a Systematic, Comprehensive, One-to-One Training (SCOOT) program for scooter users. We will conduct a study to evaluate the outcomes produced by the provision SCOOT. METHODS: This feasibility study will use a mixed-methods, rater-blinded, randomized control trial, with a two-step wedge design. The study has two arms: an immediate intervention group, which will receive the intervention directly after baseline assessments, and a delayed intervention group, which will receive the intervention after a 6-week period. Forty participants, who will be stratified based on whether or not participants have previously held a driver's license, will be randomly assigned to each arm. The intervention for this study consists of 6 weeks of one-to-one scooter training by an experienced occupational therapist, who will provide training once or twice per week over the 6 weeks. The primary outcome measure is subjective scooter skills, measured using the Wheelchair Skills Test for scooters. Secondary outcomes include objective scooter skills, confidence, mobility, and satisfaction with selected participation activities. Descriptive measures include cognitive status, functional status, hearing, vision, physical accessibility of the home and community, and visual attention and task switching. Qualitative interviews will be conducted with the first ten willing participants from each group to learn about their scooter use and experiences with SCOOT. DISCUSSION: The results of this study will inform a larger randomized control trial. If the intervention is proven to be effective in this larger study, it may have important implications for policy and practice. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02696213 . Registered on 23 February 2016.
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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 | 0.050 | 0.043 |
| Meta-epidemiology (narrow) | 0.007 | 0.004 |
| Meta-epidemiology (broad) | 0.013 | 0.005 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.050 | 0.010 |
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".