What Do We Know About Pediatric Palliative Care Patients Consulting to the Pediatric Emergency Department?
Bibliographic record
Abstract
OBJECTIVES: The objective of this study was to describe the characteristics of pediatric palliative care (PPC) patients presenting to a pediatric emergency department (ED) and these patients' ED visits. METHODS: This retrospective chart review was conducted from April 1, 2007, to March 31, 2012, in a tertiary care pediatric university-affiliated hospital. Eligible patients had initial PPC consultations during the study period; all ED visits by these patients were included. Data were drawn from the ED's electronic data system and patient's medical chart. RESULTS: A total of 290 new patients were followed by the PPC team, and 94 (32.4%) consulted the ED. Pediatric palliative care patients who consulted the ED had a median age of 7 years and baseline diagnoses of cancer (39.4%) or encephalopathy (27.7%). No patients died in the ED, but 36 (38.3%) died in hospital after an ED visit and 18 (19.1%) within 72 hours of admission. Pediatric palliative care patients consulted 219 times, with a median number of visits per patient of 2 (range, 1-8). They presented acutely ill as per triage scales. Reasons for consultation included respiratory distress/dyspnea (30.6%), pain (12.8%), seizure (11.4%), and fever (9.1%). Patients were often admitted to wards (61.2%) and the pediatric intensive care unit (7.3%). Two thirds (65.7%) of patients had signed an advanced care directive at the time of their visit. Discussions about goals of care occurred in 37.4% of visits. CONCLUSIONS: Pediatric palliative care patients present to the ED acutely ill, often at their end of life, and goals of care are not always discussed. This is a first step toward understanding how to improve PPC patients' ED care.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".