Shelter-based palliative care for the homeless terminally ill
Bibliographic record
Abstract
BACKGROUND: The homeless have high rates of mortality, but live in environments not conducive to terminal care. Traditional palliative care hospitals may be reluctant to accept such patients, due to behavior or lifestyle concerns. The Ottawa Inner City Health Project (OICHP) is a pilot study to improve health care delivery to homeless adults. This is a retrospective analysis of a cohort of terminally ill homeless individuals and the effectiveness of shelter-based palliative care. As proof of principle, a cost comparison was performed. METHODS: 28 consecutive homeless terminally ill patients were admitted and died at a shelter-based palliative care hospice. Demographics, diagnoses at admission and course were recorded. Burden of illness was assessed by medical and psychiatric diagnoses, addictions, Karnofsky scale and symptom management. An expert panel was convened to identify alternate care locations. Using standard costing scales, direct versus alternate care costs were compared. RESULTS: 28 patients had a mean age 49 years; average length of stay 120 days. DIAGNOSES: liver disease 43%, HIV/AIDS 25%, malignancy 25% and other 8%. Addiction to drugs or alcohol and mental illness in 82% of patients. Karnofsky performance score mean 40 +/- 16.8. Pain management with continuous opiates in 71%. The majority reunited with family. Compared to alternate care locations, the hospice projected 1.39 million dollars savings for the patients described. CONCLUSION: The homeless terminally ill have a heavy burden of disease including physical illness, psychiatric conditions and addictions. Shelter-based palliative care can provide effective end-of-life care to terminally ill homeless individuals at potentially substantial cost savings.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".