Changing place of death in children who died after discharge from paediatric intensive care units: A national, data linkage study
Bibliographic record
Abstract
BACKGROUND: Although child mortality is decreasing, more than half of all deaths in childhood occur in children with a life-limiting condition whose death may be expected. AIM: To assess trends in place of death and identify characteristics of children who died in the community after discharge from paediatric intensive care unit. DESIGN: National data linkage study. SETTING/PARTICIPANTS: All children resident in England and Wales when admitted to a paediatric intensive care unit in the United Kingdom (1 January 2004 and 31 December 2014) were identified in the Paediatric Intensive Care Audit Network dataset. Linkage to death certificate data was available up to the end of 2014. Place of death was categorised as hospital (hospital or paediatric intensive care unit) or community (hospice, home or other) for multivariable logistic modelling. RESULTS: The cohort consisted of 110,328 individuals. In all, 7709 deaths occurred after first discharge from paediatric intensive care unit. Among children dying, the percentage in-hospital at the time of death decreased from 83.8% in 2004 to 68.1% in 2014; 852 (0.8%) of children were discharged to palliative care. Children discharged to palliative care were eight times more likely to die in the community than children who died and had not been discharged to palliative care (odds ratio = 8.06 (95% confidence interval = 6.50-10.01)). CONCLUSIONS: The proportion of children dying in hospital is decreasing, but a large proportion of children dying after discharge from paediatric intensive care unit continue to die in hospital. The involvement of palliative care at the point of discharge has the potential to offer choice around place of care and death for these children and families.
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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 | 0.010 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".