Home Palliative Service Utilization and Care Trajectory Among Ontario Residents Dying on Chronic Dialysis
Bibliographic record
Abstract
BACKGROUND: Many patients who receive chronic hemodialysis have a limited life expectancy comparable to that of patients with metastatic cancer. However, patterns of home palliative care use among patients receiving hemodialysis are unknown. OBJECTIVES: We aimed to undertake a current-state analysis to inform measurement and quality improvement in palliative service use in Ontario. METHODS: We conducted a descriptive study of outcomes and home palliative care use by Ontario residents maintained on chronic dialysis using multiple provincial healthcare datasets. The period of study was the final year of life, for those died between January 2010 and December 2014. RESULTS: We identified 9611 patients meeting inclusion criteria. At death, patients were (median [Q1, Q3] or %): 75 (66, 82) years old, on dialysis for 3.0 (1.0-6.0) years, 41% were women, 65% had diabetes, 29.6% had dementia, and 13.9% had high-impact neoplasms, and 19.9% had discontinued dialysis within 30 days of death. During the last year of life, 13.1% received ⩾1 home palliative services. Compared with patients who had no palliative services, those who received home palliative care visits had fewer emergency department and intensive care unit visits in the last 30 days of life, more deaths at home (17.1 vs 1.4%), and a lower frequency of deaths with an associated intensive care unit stay (8.1 vs 37.8%). CONCLUSIONS: Only a small proportion of patients receiving dialysis in Ontario received support through the home palliative care system. There appears to be an opportunity to improve palliative care support in parallel with dialysis care, which may improve patient, family, and health-system outcomes.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".