Impact of an Oncology Palliative Care Clinic on Access to Home Care Services
Bibliographic record
Abstract
Home care (HC) is important for patients with cancer as performance status declines. Our study of 1224 patients at a Canadian cancer center examined the impact of an oncology palliative care clinic (OPCC) on HC referral. The HC referral frequency was calculated before and after the first OPCC consultation, in total and according to performance status (Palliative Performance Scale, PPS). Characteristics associated with HC referral were investigated. After the first OPCC consultation, there was an increase in HC referral from 39% (477 of 1224; 49% of those with PPS ≤60) to 69% (841 of 1224; 88% of those with PPS ≤60). Factors independently associated with HC referral were poor PPS (P < .001) and older age (P = .003). Thus OPCC involvement resulted in markedly increased HC referrals, particularly for older patients with poor performance status.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".