Evaluation of pediatric-specific resources to support utilization of the Wheelchair Skills Training Program by the users of the resources: a descriptive qualitative study
Bibliographic record
Abstract
BACKGROUND: Children's ability to engage in meaningful activities is positively influenced by their ability to move independently. Preliminary evidence in children suggests that wheelchair skills training improves wheelchair skills, which are important for independent mobility. The Wheelchair Skills Training Program is a standardized program to teach wheelchair skills. However, it is underutilized in pediatric rehabilitation settings. To increase its utilization, 3 pediatric-specific Wheelchair Skills Training Program resources related to indoor skills were developed (i.e., a storybook, four instructional posters, and a training workbook). This study aimed to describe occupational therapists' (OTs) and pediatric manual wheelchair users' (PMWUs) perceived satisfaction with the storybook, instructional posters and training workbook, and to explore their perceptions regarding the usability, relevance, and feasibility of these resources in pediatric rehabilitation settings. METHODS: A descriptive qualitative design was used. Convenience samples of OTs and PMWUs were recruited in a rehabilitation center and affiliated schools. A focus group with OTs and semi-structured interviews with PMWUs were conducted by videoconference to obtain participants' feedback on the resource prototypes and suggestions for improvement. Data were deductively analyzed using the Framework method. RESULTS: Eight OTs and 5 PMWUs expressed general satisfaction with the resources, describing them as usable, relevant, and feasible to integrate into wheelchair skills training with novice wheelchair users and younger children. All OTs and 3 PMWUs expressed the desire to use the resources for wheelchair skills training. Two PMWUs perceived the resources were not relevant to them because they already mastered the skills. The participants suggested minor modifications for improving the resources (e.g., more action in the story, increased precision of illustrations related to the characters' position in the wheelchair). CONCLUSION: OTs and PMWUs were satisfied with the resources, perceiving them to be applicable for training wheelchair skills among young children and novice wheelchair users. The resources represent a concrete solution to facilitate the use of the Wheelchair Skills Training Program in pediatric rehabilitation settings. Additional resources are needed to better reach older and more experienced PMWUs (i.e., of intermediate and advanced skill levels).
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".