Transitions Between Care Settings at the End of Life Among Older Homecare Recipients
Bibliographic record
Abstract
Objectives: Objectives were to (a) describe transitions between care settings in older homecare recipients at the end of life, and (b) examine what personal (e.g., age, sex) and health system factors (e.g., hospital bed supply) predict care transitions. Methods: The study involved analysis of administrative health care data and was based on a complete cohort of homecare recipients aged 65 years or older who died in Manitoba, Canada between 2003 and 2006 ( N = 7,866). Results: More than half of homecare recipients had at least one care transition in the last 30 days before death and 21% had two or more hospitalizations in the last 90 days. Both personal characteristics and health system factors were related to transitions and hospitalizations. Discussion: The findings suggest that homecare recipients are an important population to focus on in terms of reducing potentially burdensome transitions and enhancing the end-of-life experience for them and their family.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".