Preterm birth, unplanned hospital contact and mortality in infants born to teenage mothers in five countries: a cross-country comparison using linked administrative data
Bibliographic record
Abstract
IntroductionChildren born to teenage mothers have greater healthcare needs than those born to mothers in their 20s and older, including higher rates of childhood hospitalisations. We performed a direct cross-country comparison of maternal age-related inequalities in infant outcomes in England, Scotland, Sweden, New South Wales (NSW; Australia) and Ontario (Canada).
 Objectives and ApproachWe used administrative hospital data capturing 3,002,749 singleton births surviving to discharge between 2010-2014 (2008-2012 for Sweden). We derived risk ratios and risk differences to compare rates of preterm birth (24-37 weeks of gestation), unplanned hospital admissions, emergency department (ED) visits, and mortality within 12 months of postnatal discharge, for infants born to mothers aged 15-19, 20-24, 25-29 and 30-34 years.
 ResultsInfants born to teenage mothers experienced higher rates of preterm birth, unplanned admissions, ED visits, and mortality compared with older mothers in all countries. Despite variation in the distribution of maternal characteristics between countries, inequalities according to maternal age were similar. Infants of teenage mothers were between 1.37 (95% CI for risk ratio 1.28-1.47, Sweden) and 1.56 (95% CI 1.49-1.64, NSW) times more likely to have ≥1 unplanned hospital admission and between 2.25 (95% CI 1.92-2.64, England) and 3.87 (95% CI 2.07-7.36, Sweden) times more likely to die, compared with those born to mothers aged 30-34.
 Conclusion/ImplicationsA similar excess of adverse outcomes was observed for teenage mothers in all five countries, despite different prevalence rates and support for young families. Public health strategies are needed to address these inequalities, which may be due to social risk factors associated with both young motherhood and adverse infant outcomes.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.001 |
| 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".