A Survey of Canadian Occupational Therapy Practices to Prevent Pressure Injuries Among Wheelchair Users via Weight Shifting
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to describe occupational therapy weight-shifting practices and explore recommended strategies for patients, healthcare staff, and family/caregivers across healthcare settings. DESIGN: Cross-sectional survey. SUBJECTS AND SETTING: Respondents included 97 currently practicing occupational therapists working in 5 main practice settings (ie, acute care, inpatient rehabilitation, outpatient rehabilitation, home and community care, and residential) from 9 out of 10 Canadian provinces. METHODS: We created a 25-item questionnaire that included forced choice and open-ended queries. Items queried demographic information, weight-shifting techniques taught to patients, frequency and duration of weight shifting recommended, educational approaches used to teach weight shifting, and resources used to guide decision making. Participants were recruited via professional organizations and health authorities across Canada. Participants were excluded if they were not currently working with manual or power wheelchair users. Descriptive statistics were used to analyze quantitative data, and content analysis was used for qualitative data (responses to open-ended queries). RESULTS: The most frequently recommended weight-shifting techniques were tilt (83.3%-92.8%), leaning to one side (47.9%-87.5%), and forward leaning (46.9%-83.3%). Study findings revealed a wide range of recommendations regarding frequency (every 10 minutes or less to >2 to 3 hours) and duration (≤30 seconds to as long as tolerated) of weight shifting. Weight-shifting interventions were most commonly guided by clinical experience (81.7%), practice guidelines (62.4%), and expertise of other team members (54.8%). CONCLUSIONS: Results from this study highlight the need for further research to inform weight-shifting techniques and to build a more comprehensive understanding of weight-shifting education practices.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".