Addressing Myths about End-of-Life Care: Research into the Use of Acute Care Hospitals over the Last Five Years of Life
Bibliographic record
Abstract
Despite very little confirming evidence, one of the most pervasive beliefs about dying is that terminally ill people receive a great deal of health care in the last few days, weeks, or months of life. A secondary analysis of 1992/93 through 1996/97 Alberta inpatient hospital abstracts data was undertaken to explore and describe hospital use over the five years before death by all Albertans who died in acute care hospital beds during the 1996/97 year (n = 7,429). There were four key findings: (1) hospital use varied, but was most often low, (2) the last hospital stay was infrequently resource intensive, (3) age, gender, and illness did not distinguish use, and (4) most ultra-high users were rural residents, with the majority of care episodes taking place in small, rural hospitals.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".