Determinants of Home Death in Palliative Home Care: Using the interRAI Palliative Care to Assess End-of-Life Care
Bibliographic record
Abstract
Many terminally ill patients are given the choice to die at home. This study identified determinants of home death among patients receiving palliative home care. Health information was collected using the interRAI palliative care assessment tool. The sample included health information from 536 patients receiving home health care from one community care access centre in Ontario, Canada. Patients who died at home were more likely to be functionally impaired and less likely to live alone. The patients' wish to die at home and the family's ability to cope were strong determinants of home death. This study suggests that the presence of a supportive family that is able to work with the health care team to implement a plan of care is important to the patients' ability to die at home. This study highlights the need to treat the patient and the caregiver(s) as a unit of care.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".