Pediatric patients receiving palliative care in Canada: results of a multicenter review.
Bibliographic record
Abstract
OBJECTIVES: To describe the patients who received care from the 8 dedicated pediatric palliative care programs in Canada in 2002 and to estimate the number of children who may have benefited but did not receive services from these programs. DESIGN: Retrospective review of medical records combined with a survey of each program. SETTING: Seven pediatric palliative care programs based in tertiary care settings and 1 freestanding children's hospice. PARTICIPANTS: The programs cared for 317 children during 2002, of whom 123 died during that year. An additional 32 children died by the end of 2003. MAIN EXPOSURE: Pediatric palliative care program. RESULTS: Nearly half (48.6%) of the patients were younger than 5 years, and almost half of these were younger than 1 year. Primary diagnoses were disorders of the nervous system (39.1%), malignancies (22.1%), and conditions arising in the perinatal period or congenital anomalies (22.1%). Most of the children (43.9%) died at home, with those centers reporting more comprehensive home care services having the highest percentage of home deaths. From a national perspective, between 5% and 12% of the children who could benefit from palliative care received services from 1 of these programs. CONCLUSIONS: Pediatric palliative care programs in Canada care for a diverse population of patients with a wide range of age and disease conditions. Only a small percentage of children who die, however, receive services from these dedicated programs.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.013 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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 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".