FRAILTY AND HOSPITAL USE IN AGED ADULTS: A COMPARATIVE ANALYSIS OF FRANCE AND QUéBEC
Bibliographic record
Abstract
The aim of this article is to provide comparative population-based approach of the determinants of hospital use, in France 2012 and Québec 2011, with a focus on the frailty phenotype once netted out from other health and other covariates. We used comparable surveys of community-dwelling individuals matched with their National insurance claims and hospital episode records. Two-part models were used for access to hospital and length-of-stay. Our results suggest that ER use is more frequent in Québec while the hospitalization rate is lower in Québec after a venue at ER – suggesting that ER play the role of primary care in Québec. The length-of-stay is shorter in France where pay-for-performance scheme give hospital professionals the incentive to increase the number of inpatient care. We also found that frailty is associated with hospitalization through ER use in both countries, while the phenotype is neither associated with elective hospitalizations or the length-of-stay.
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How this classification was reachedexpand
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 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".