Preventing Pressure Ulcers in Long-term Care
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Pressure ulcers are common in many care settings, with adverse health outcomes and high treatment costs. We evaluated the cost-effectiveness of evidence-based strategies to improve current prevention practice in long-term care facilities. METHODS: We used a validated Markov model to compare current prevention practice with the following 4 quality improvement strategies: (1) pressure redistribution mattresses for all residents, (2) oral nutritional supplements for high-risk residents with recent weight loss, (3) skin emollients for high-risk residents with dry skin, and (4) foam cleansing for high-risk residents requiring incontinence care. Primary outcomes included lifetime risk of stage 2 to 4 pressure ulcers, quality-adjusted life-years (QALYs), and lifetime costs, calculated according to a single health care payer's perspective and expressed in 2009 Canadian dollars (Can$1 = US$0.84). RESULTS: Strategies cost on average $11.66 per resident per week. They reduced lifetime risk; the associated number needed to treat was 45 (strategy 1), 63 (strategy 4), 158 (strategy 3), and 333 (strategy 2). Strategy 1 and 4 minimally improved QALYs and reduced the mean lifetime cost by $115 and $179 per resident, respectively. The cost per QALY gained was approximately $78 000 for strategy 3 and $7.8 million for strategy 2. If decision makers are willing to pay up to $50 000 for 1 QALY gained, the probability that improving prevention is cost-effective is 94% (strategy 4), 82% (strategy 1), 43% (strategy 3), and 1% (strategy 2). CONCLUSIONS: The clinical and economic evidence supports pressure redistribution mattresses for all long-term care residents. Improving prevention with perineal foam cleansers and dry skin emollients appears to be cost-effective, but firm conclusions are limited by the available clinical evidence.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it