Maternal and neonatal health outcomes for First Nations Australian women and children: A retrospective cohort study in a Western Sydney metropolitan tertiary referral centre
Bibliographic record
Abstract
Aim: To analyse key pregnancy and birth outcomes for First Nations women and children at a Western Sydney metropolitan tertiary referral centre. Methods: The birth and health-determining characteristics of 470 First Nations infants born at Nepean Hospital in 2018 and their mothers were included in a retrospective audit and compared with a contemporaneous control group of 470 infants and their mothers. Results: Mothers of First Nations infants had significantly higher rates of socioeconomic disadvantage (P < 0.001), psychosocial vulnerability (P < 0.007), mental illness (P < 0.001), teenage pregnancy (P < 0.001), smoking (45.6% vs. 19.4%, P < 0.001) and drug and alcohol use than control mothers (P < 0.001, P < 0.048). First Nations peoples did not have increased rates of maternal morbidity, nor any difference in rates of Caesarean section, resuscitation at birth, NICU admission, preterm birth or low birth weight in multivariable analysis. However, multivariable analysis demonstrated significant associations between low birth weight and maternal smoking (P < 0.001), hypertension (P < 0.01) and drug use (P < 0.01). Conclusions: Despite challenges facing First Nations mothers and infants, our study found no significant difference in maternal morbidity nor adverse birth outcomes for First Nations infants. The study occurred in the context of culturally specific, First Nations-led antenatal and infant services. Future studies should further investigate relationships between participation in these services and health outcomes. This could identify strengths and areas for improvement in current services, with the goal of further improving outcomes for First Nations peoples through targeted health services that address their psychosocial vulnerabilities and support women to make healthy choices during pregnancy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".