Affiliation:
1. University of Otago, Dunedin, New Zealand
2. Iris Data Science, Dunedin, New Zealand
Abstract
Objectives: Aotearoa New Zealand has demonstrable maternal and perinatal health inequity. We examined the relationships between adverse outcomes in a total population sample of births and a range of social determinant variables representing barriers to equity. Methods: Using the Statistics New Zealand Integrated Data Infrastructure suite of linked administrative data sets, adverse maternal and perinatal outcomes (mortality and severe morbidity) were linked to socio-economic and health variables for 97% of births in New Zealand between 2003 and 2018 (~970,000 births). Variables included housing, economic, health, crime and family circumstances. Logistic regression examined the relationships between adverse outcomes and social determinants, adjusting for demographics (socio-economic deprivation, education, parity, age, rural/urban residence and ethnicity). Results: Māori (adjusted odds ratio = 1.21, 95% confidence interval = 1.18–1.23) and Asian women (adjusted odds ratio 1.39, 95% confidence interval = 1.36–1.43) had poorer maternal or perinatal outcomes compared to New Zealand European/European women. High use of emergency department (adjusted odds ratio = 2.68, 95% confidence interval = 2.53–2.84), disability (adjusted odds ratio = 1.98, 95% confidence interval = 1.83–2.14) and lack of engagement with maternity care (adjusted odds ratio = 1.89, 95% confidence interval = 1.84–1.95) had the strongest relationship with poor outcomes. Conclusion: Maternal health inequity was strongly associated with a range of socio-economic and health determinants. While some of these factors can be targeted for interventions, the study highlights larger structural and systemic issues that affect maternal and perinatal health.
Funder
Otago School of Medical Sciences
Cited by
22 articles.
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