The Wheelchair Procurement Process: Perspectives of Clients and Prescribers
Bibliographic record
Abstract
BACKGROUND: Increasing choices in assistive technology have made the process of procuring a wheelchair more complex and challenging. PURPOSE: To explore the intricacies of the procurement process from the perspectives of clients and therapists. METHODS: Thirty-four participants were interviewed, including 13 wheelchair prescribers, 14 wheelchair users, and 7 wheelchair associates (family members and caregivers). FINDINGS: Analysis revealed five main themes. "Who decides?" described varying degrees of client involvement in the procurement process. "Expert knowledge" reflected the expert knowledge that all parties possessed. "Form versus function"captured the primary and, at times, conflicting outcomes that participants wanted to achieve. "Fitting in" depicted the environmental factors that affected wheelchair procurement. "(Re)solutions" illustrated strategies that participants felt improved the process. IMPLICATIONS: This study reveals clients' experiences with wheelchair procurement, identifies potential issues therapists may encounter, and suggests possible remedies they might consider when prescribing wheelchairs within a client-centred framework.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".