Health status utilities and the impact of pressure ulcers in long-term care residents in Ontario
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
PURPOSE: To estimate health status utilities in long-term care (LTC) residents in Ontario, both with and without pressure ulcers (PUs), and to determine the impact of PU on health-related quality of life (HRQOL). METHODS: A retrospective population-based study was carried out using Minimum Data Set (MDS) health assessment data among all residents in 89 LTC homes in Ontario who had a full MDS assessment between May 2004 and November 2007. The Minimum Data Set-Health Status Index (MDS-HSI) was used to measure HRQOL. A stepwise regression was used to determine the impact of PU on MDS-HSI scores. RESULTS: A total of 1,498 (9%) of 16,531 LTC residents had at least one stage II PU or higher. The mean +/- SD MDS-HSI scores of LTC residents without PU and those with PU were 0.36 +/- 0.17 and 0.26 +/- 0.13, respectively (p < 0.001). Factors associated with lower MDS-HSI scores included: older age; being female; having a PU; recent hip fracture; multiple comorbid conditions; bedfast; incontinence; Changes in Health, End-stage disease and Symptoms and Signs; clinically important depression; treated with a turning/repositioning program; taking antipsychotic medications; and use of restraints. CONCLUSIONS: LTC residents with PU had slightly though statistically significantly lower HRQOL than those without PU. Comorbidity contributed substantially to the low HRQOL in these populations. Community-weighted MDS-HSI utilities for LTC residents are useful for cost-effectiveness analyses and help guide health policy development.
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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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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