Palliative care delivery across health sectors: A population-level observational study
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Little population-level information exists about the delivery of palliative care across multiple health sectors, important in providing a complete picture of current care and gaps in care. AIM: Provide a population perspective on end-of-life palliative care delivery across health sectors. DESIGN: Retrospective population-level cohort study, describing palliative care in the last year of life using linked health administrative databases. SETTING/PARTICIPANTS: All decedents in Ontario, Canada, from 1 April 2010 to 31 March 2012 ( n = 177,817). RESULTS: Across all health sectors, about half (51.9%) of all decedents received at least one record of palliative care in the last year of life. Being female, middle-aged, living in wealthier and urban neighborhoods, having cancer, and less multi-morbidity were all associated with higher odds of palliative care receipt. Among 92,276 decedents receiving palliative care, 84.9% received care in acute care hospitals. Among recipients, 35 mean days of palliative care were delivered. About half (49.1%) of all palliative care days were delivered in the last 2 months of life, and half (50.1%) had palliative care initiated in this period. Only about one-fifth of all decedents (19.3%) received end-of-life care through publicly funded home care. Less than 10% of decedents had a record of a palliative care home visit from a physician. CONCLUSION: We describe methods to capture palliative care using administrative data. Despite an estimate of overall reach (51.9%) that is higher than previous estimates, we have shown that palliative care is infrequently delivered particularly in community settings and to non-cancer patients and occurs close to death.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it