Emergency Department Use among End-Of-Life Home Care Clients
Bibliographic record
Abstract
Emergency department (ED) use is a quality-of-care indicator for community-based end-of-life (EOL) care. This study examined ED use by EOL home care clients. The sample included all EOL home care clients who received care from one community care access centre in Ontario, Canada. Information on health was gathered using the interRAI instrument for palliative care. Data were collected between May 2009 and January 2010. The sample included 93 home care clients. Results showed that 35 percent of clients used the ED within 45 days of assessment. Multivariate analysis identified two determinants of ED use: excessive weight loss and previous hospitalization. Managing terminal illness is often a difficult task, and comprehensive, ongoing assessment of clients' changing status is critical. Client care and service planning for clients who have lost excessive amounts of weight or who have been recently hospitalized need to be monitored closely to prevent any future avoidable ED use.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".