Skills on wheels: initial pre-post findings from a pilot study of a pediatric wheelchair skills training program
Bibliographic record
Abstract
Skills on Wheels, a 5-week pediatric wheelchair skills training program implemented over 2 years, was developed to address confidence, social participation, and mobility for wheelchair-using children. This study tests the hypothesis that pediatric wheelchair skills training will increase wheelchair skill ability, confidence, and participation of wheelchair-using children. Individualized instruction was delivered by occupational (N = 50) and physical (N = 12) therapy practitioners and doctoral students. The primary program intervention was adapted for pediatric wheelchair users from the adult Wheelchair Skills Training Program, developed by Dalhousie University, consisting of a total of 33 wheelchair skills. An adapted version of the Wheelchair Confidence measure (Wheel-Con-M-P), the Participation and Environment Measure for Children and Youth (PEM-CY), and Wheelchair Skills Test (WST) were used to measure participants confidence and ability to complete wheelchair skills, endurance, and participation and satisfaction in community, school, and home. The study resulted in: increases in confidence in ability to move wheelchair over threshold (+1.00, p < 0.05), ability to carry lunchbox/bookbag (+0.65, p < 0.05), ability to move in wheelchair when worried or scared (+1.3, p < 0.05), ability to ask for help, and ability to say “no” if they don’t need help (+0.58, p < 0.05) were indicated. The WST indicated increased ability (p < 0.05) on several skills. The Fear of Falling Measure found an overall decrease in fear of falling (−2.37, p < 0.01). The Skills on Wheels program demonstrated many successes in this initial 2-year study and data suggest a positive trend for iterations to come.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".