Association Between Mobility, Participation, and Wheelchair‐Related Factors in Long‐Term Care Residents Who Use Wheelchairs as Their Primary Means of Mobility
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To explore how wheelchair-related factors, mobility, and participation are associated in a sample of long-term care residents who use wheelchairs as their primary means of mobility. DESIGN: Cross-sectional survey. SETTING: Eleven residential care facilities in the lower mainland of British Columbia, Canada. PARTICIPANTS: One hundred forty-six self-responding residents and 118 proxy respondents: mean age 84 (range 60-103). Most were female (69%), and a small proportion (9%) drove a power wheelchair. MEASUREMENTS: The Nursing Home Life Space Diameter Assessment was used to measure resident mobility, and the Late Life Function and Disability Instrument: Disability Component was used to measure participation frequency in daily activities. RESULTS: Path analysis indicated that wheelchair-related factors were associated with participation frequency directly and indirectly through their relationship with mobility. The final model explained 46% of the variance in resident mobility and 53% of the variance in resident participation frequency. Wheelchair skills, which include the ability to transfer in and out of and propel a wheelchair, were important predictors of life-space mobility and frequency of participation, and life space mobility was a significant predictor of frequency of participation. Depression was associated with poorer wheelchair skills and mobility and less-frequent participation. Counterintuitively, perceived environmental barriers were positively associated with frequency of participation. CONCLUSION: The findings suggest that, by addressing wheelchair-related factors, resident's mobility and participation may be improved, but the efficacy of this approach needs to be confirmed experimentally.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it