Evaluation of Pediatric-Specific Wheelchair-Skills-Training Tools By Primary Users: A Descriptive Qualitative Study
Bibliographic record
Abstract
Abstract Background Children’s ability to engage in meaningful occupations is positively influenced by their ability to move independently. Preliminary evidence in children suggests that wheelchair skills training improves wheelchair skills, which are critical for wheelchair mobility. The Wheelchair Skills Training Program is a standardized program to teach wheelchair skills. However, it is underutilized in pediatric rehabilitation settings. To address perceived barriers to training, three pediatric-specific Wheelchair Skills Training Program tools for indoor skills were developed (i.e., a storybook, four instructional posters, and a workbook). This study aimed to document occupational therapists’ and pediatric manual wheelchair users’ satisfaction and perspectives on the usability, relevance, and feasibility of these tools. Method A descriptive qualitative research design was used. A focus group was conducted with occupational therapists and interviews were conducted pediatric manual wheelchair users to obtain their feedback on the tool prototypes to facilitate refinement and to ensure they meet users’ needs. Results Eight occupational therapists and five pediatric manual wheelchair users expressed general satisfaction with the tools, describing them as usable, relevant and feasible to integrate into wheelchair skills training with novice wheelchair users and younger children. All occupational therapists and three pediatric manual wheelchair users expressed the desire to use the tools for wheelchair skills training. Two children expressed that the tools were more relevant for beginner wheelchair users only. The participants suggested minor modifications to make the tools more accessible for children (e.g., more action in the story, increased precision of illustrations related to the characters’ position in the wheelchair). Conclusion Occupational therapists and pediatric manual wheelchair users perceived the tools to have high potential to facilitate the use of the Wheelchair Skills Training Program in pediatric rehabilitation settings. After making the recommended modifications, the tools will be ready for pilot testing in pediatric rehabilitation settings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.016 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".