The Impact of Socioeconomic Status on Place of Death Among Patients Receiving Home Palliative Care in Toronto, Canada: A Retrospective Cohort Study
Bibliographic record
Abstract
Background: Socioeconomic disparities in home death have been noted in the literature. Home-based palliative care increases access to home death and has been suggested as a means to decrease these disparities. Aim: Our study examines the association between socioeconomic status and other demographic factors on place of death in a population receiving home palliative care in Toronto, Canada. Design: This is a retrospective chart review of patients who died between August 2013 and August 2015 when admitted to a home-based palliative care service. Multivariate multinomial regression examined the relationship between the place of death (home, palliative care unit [PCU], or acute care) with age, gender, primary diagnosis, and income quintile. Bivariate logistic regression was fitted to calculate the odds ratio (OR) and probability of preference for home death. Setting/Participants: Patients receiving home-based palliative care services from the Latner Centre for Palliative Care in Toronto, Canada. Results: A total of 2066 patients were included in multivariate analysis. Patients in the lowest income quintile had increased odds of dying in acute care (OR = 2.41, P < .001) or dying in PCU (OR = 1.64, P = .008) than patients in highest income quintile. Patients in the next lowest income quintiles 2 and 3 were also more likely to die in acute care. The rate of preference for home death was significantly lower in the lowest income quintile (OR = 0.47, P = .0047). Conclusions: Patients in lower income quintiles are less likely to die at home, despite receiving home-based palliative care, although they may also be less likely to prefer home death.
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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 | 0.001 |
| 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 | 0.000 |
| 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 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".