Location of death among children with life-threatening conditions: a national population-based observational study using the Canadian Vital Statistics Database (2008–2014)
Bibliographic record
Abstract
BACKGROUND: Patterns in location of death among children with life-threatening conditions (e.g., cancer, genetic disorders, neurologic conditions) may reveal important inequities in access to hospital and community support services. We aimed to identify demographic, socioeconomic and geographic factors associated with variations in location of death for children across Canada with life-threatening conditions. METHODS: We used a retrospective observational cohort design and the Canadian Vital Statistics Database to identify children aged 19 years or younger who died from a life-threatening condition between Jan. 1, 2008, and Dec. 31, 2014. We used multivariable logistic regression to determine predictors of in-hospital death for children aged 1 month to 19 years, and for neonates younger than 1 month. RESULTS: Overall, 13 115 decedents younger than 19 years had life-threatening conditions. Of 5250 children and 7865 neonates, 74.2% and 98.1%, respectively, died in hospital. Among children, we found a higher proportion of hospital deaths in the lowest (v. highest) income quintile (odds ratio [OR] 1.59, 95% confidence interval [CI] 1.28-1.97), and a lower proportion among children living more than 400 km (v. < 50 km) from a pediatric hospital (OR 0.73, 95% CI 0.65-0.86). Compared with Ontario, hospital death was most common in Quebec (OR 1.38, 95% CI 1.14-1.67) and least common in British Columbia (OR 0.43, 95% CI 0.34-0.53). Compared with an oncologic cause of death, all causes except neurologic and metabolic conditions had significantly higher odds of dying in hospital. INTERPRETATION: In addition to demographics, we identified socioeconomic and geographic differences in location of death, suggesting potential inequities in access to high-quality care at the end of life. Health care policies and practices must ensure equitable access to services for children across Canada, particularly at the end of their life.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".