Home Care Clients in the Last Year of Life
Bibliographic record
Abstract
OBJECTIVES: To compare demographic, social, medical, and health care characteristics of home care clients in the last year of life by quintile of deprivation and examine associations between material deprivation and service characteristics. METHOD: This retrospective study used administrative data for 700 clients who died while receiving home care services. Outcome measures were the receipt of supportive or palliative home care. Associations were assessed using multiple logistic regression. RESULT: Material deprivation was not associated with either the hours of home care received or the receipt of supportive home care services. Clients with dementia or stroke, those were older than 80 years and those who were single were less likely to receive palliative care services than other groups. DISCUSSION: Inequalities in allocation of home care services based on age, diagnosis, and marital status, but not material deprivation, suggest the need to carefully match service with need at the end of life.
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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 | 0.001 | 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 | 0.000 |
| 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".