The Location of Death and Dying Across Canada: A Study Illustrating the Socio-Political Context of Death and Dying
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Concern has existed for many years about the extensive use of hospitals by dying persons. In recent years, however, a potential shift out of hospital has been noticed in a number of developed countries, including Canada. In Canada, where high hospital occupancy rates and corresponding long waits and waitlists for hospital care are major socio-political issues, it is important to know if this shift has continued or if hospitalized death and dying remains predominant across Canada. Methods: Recent individual-anonymous population-level inpatient Canadian hospital data were analyzed to answer two questions: (1) what proportion of deaths in provinces and territories across Canada are occurring in hospital now? and (2) who is dying in hospital now? Results: In 2014–2015, 43.9% of all deaths in Canada (excluding Quebec) occurred in hospital. However, considerable cross-Canada differences in end-of-life hospital utilization were found. Some cross-Canada differences in hospital decedents were also noted, although most were older, male, and they died during a relatively short hospital stay after being admitted from their homes and through the emergency department after arriving by ambulance. Conclusion: Over half of all deaths in Canada are occurring outside of hospital now. Cross-Canada hospital utilization and inpatient decedent differences highlight opportunities for enhanced end-of-life care service planning and policy advancements.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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