Relationship between Regulatory Status, Quality of Care, and Three‐Year Mortality in Canadian Residential Care Facilities: A Longitudinal Study
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 compare the mortality rate in regulated and unregulated facilities, controlling for confounding variables, and investigate the effect of care quality on residents' length of survival. DATA SOURCES/STUDY SETTING: At baseline, subjects were assessed in their living environment with respect to their functional autonomy, cognitive abilities, and quality of care. Vital status, disease-related information, and hospitalization data were retrieved three years later from the subjects' medical files. STUDY DESIGN: A three-year follow-up study of 299 residents from 88 long-term care facilities located in the province of Quebec, Canada. The effect of regulatory status and quality of care on length of survival was investigated by means of multivariable Cox proportional hazards regression models, from both traditional and competing risks perspectives. PRINCIPAL FINDINGS: Controlling for age, comorbidity, and baseline functional abilities, a resident's length of survival is not significantly influenced by the regulatory status of the facility in which he or she lived at baseline. However, residents with poor quality ratings at baseline had shorter survival times than those provided with good care. Median survival was 28 months among residents classified as receiving inadequate care compared to 41 months for those adequately cared for (p = 0.0217). CONCLUSIONS: The study suggests that quality of care has a much stronger influence on resident outcomes than regulation per se. This finding underscores the relevance of testing innovative interventions aimed at improving the quality of care provided in long-term care facilities, regardless of their regulatory status.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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