Avoidable Hospitalizations in Persons with Dementia: a Population-Wide Descriptive Study (2000–2015)
Bibliographic record
Abstract
BACKGROUND: Whether avoidable hospitalizations in community-dwelling persons with dementia have decreased during primary care reforms is unknown. METHODS: We described the prevalence and trends in avoidable hospitalizations in population-based repeated yearly cohorts of 192,144 community-dwelling persons with incident dementia (Quebec, 2000-2015) in the context of a province-wide primary care reform, using the provincial health administrative database. RESULTS: Trends in both types of Ambulatory Care Sensitive Condition (ACSC) hospitalization (general and older population) and 30-day readmission rates remained constant with average rates per 100 person-years: 20.5 (19.9-21.1), 31.7 (31.0-32.4), 20.6 (20.1-21.2), respectively. Rates of delayed hospital discharge (i.e., alternate level of care (ALC) hospitalizations) decreased from 23.8 (21.1-26.9) to 17.9 (16.1-20.1) (relative change -24.6%). CONCLUSIONS: These figures shed light on the importance of the phenomenon, its lack of improvement for most outcomes over the years, and the need to develop evidence-based policies to prevent avoidable hospitalizations in this vulnerable population.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".