Temporal Trends and Sex Differences in Intensity of Healthcare at the End of Life in Adults With Heart Failure
Bibliographic record
Abstract
Background Patients with chronic disease prefer an adequately supported death at home, but often die in the hospital. We assessed temporal trends and sex differences in healthcare intensity and location of death among decedents with heart failure. Methods and Results This was a retrospective cohort study of adults with heart failure who died between April 1, 2004 and March 31, 2017 in Ontario, Canada. We used population‐based administrative databases to assess healthcare utilization during the last 6 months of life and applied multilevel multivariable logistic regression to assess whether sex was independently associated with location of death. Among 396 024 decedents with heart failure, mean (SD) age was 81.8 (10.7) years, 51.5% were women, and 53.4% had in‐hospital deaths. From 2004 to 2016, there was an increase in patients receiving mechanical ventilation (15.1%–19.6%), hemodialysis (5.2%–6.8%), and cardiac revascularization (1.7%–2.3%). Relative to men, women spent fewer days in a hospital (mean, 16.4 versus 18.3; mean difference, 1.9; 95% CI, 1.7–2.0; P <0.001) and in an intensive care unit (mean, 2.1 versus 3.0; mean difference, 0.9; 95% CI, 0.8–0.9; P <0.001); and less commonly received mechanical ventilation (15.5% versus 20.8%; P <0.001); hemodialysis (4.8% versus 7.7%; P <0.001); or cardiac catheterization (2.8% versus 4.6%; P <0.001). Female sex was independently associated with lower odds of in‐hospital death (odds ratio, 0.88; 95% CI, 0.87–0.89). Mean (SD) 6‐month direct healthcare cost was greater for in‐hospital ($52 349 [$55 649]) than out‐of‐hospital ($35 998 [$31 900]) death. Conclusions Among decedents with heart failure, invasive care in the last 6 months increased in prevalence over time but was less common in women, who had lower odds of dying in a hospital.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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 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".