Wheelchair service provision education in Canadian occupational therapy programs
Bibliographic record
Abstract
Occupational therapists in Canada play a central role in wheelchair service provision. Inadequate entry-to-practice professional education has been identified as a major concern in the delivery of wheelchair related services. The goal of this study was to describe the current education provided in Canadian occupational therapy programs and to map this content against the recommended WHO 8-step wheelchair service provision process. The study used a descriptive cross-sectional online survey design. Educators were recruited from accredited occupational therapy programs in Canada. Participants completed a short sociodemographic questionnaire and a survey with 97 closed- and open-ended questions regarding the wheelchair service provision education provided in their curriculum. Survey data was then mapped according to the WHO 8-step wheelchair service provision process. Twenty-nine educators from all Canadian occupational therapy programs (n = 14) were enrolled. Most participants (55.2%) were full-time faculty members that had been teaching in occupational therapy programs for an average time of 10.9 years. All programs covered at least 4 of the WHO recommended steps, but only 5 programs covered all steps. Assessment and Prescription steps were covered in every program while the Referral & Appointment, Funding & Ordering, Fitting and User Training steps were covered in most programs. The pedagogic approach, the amount of time dedicated to wheelchair-related content, and the type of evaluation used varied greatly between programs. This study is the first to provide a detailed description of wheelchair service provision education across all Canadian occupational therapy programs according to the WHO 8 steps and provides a foundation for collaborative efforts to promote best practice in entry-to-practice professional education.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".