Access to Bathtub Grab Bars: Evidence of a Policy Gap
Bibliographic record
Abstract
This paper examines access to bathtub grab bars in privately and publicly owned apartment buildings and explores the profile of seniors who have access to bathtub grab bars. Results indicate that bathtub grab bars were significantly more prevalent in apartments that were publicly owned (91.3%) as compared to privately owned (37.8%) (p < 0.05). Results of a logistic regression for participants residing in non-universal-access buildings indicated that seniors were more likely to have grab bars in their bathtubs if they were older, were in poor health, had had a fall in the previous year, or used a mobility aid. Among those who did not have bathtub grab bars, 33 per cent reported fear of falling while bathing, 20 per cent reported difficulty bathing, and 23 per cent were found to have impaired balance. Findings are discussed in light of policy implications for universal access to grab bars, with apartment buildings being a logical place to start.
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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 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".