Scientific Reports (Aug 2024)
Community level factors and racial inequities in delivery hospitalizations involving severe maternal morbidity in the United States, 2016–2019
Abstract
Abstract The objective of this study was to evaluate the racial and ethnic disparities in delivery hospitalizations involving severe maternal morbidity (SMM) by location of residence and community income. We used the 2016 to 2019 Healthcare Cost and Utilization Project National Inpatient Sample. International Classification of Diseases, Tenth Revision, Clinical Modification codes were used to identify delivery hospitalizations with SMM. Using logistic regression models, we examined the association between race and ethnicity and delivery hospitalizations involving SMM. In adjusted analyses, the models were stratified by location of residence and community income and adjusted for patient and hospital characteristics. In rural areas, non-Hispanic Black women (AOR 1.50; 95% CI 1.25–1.79) and women of other races (AOR 1.32; 95% CI 1.03–1.69) had an increased odds of experiencing a delivery hospitalization involving SMM when compared to non-Hispanic White women. In micropolitan areas, non-Hispanic Black women (AOR 1.88; 95% CI 1.79–1.97), non-Hispanic Asian/Pacific Islander women (AOR 1.54; 95% CI 1.16–2.05), and women of other races (AOR 1.31; 95% CI 1.03–1.67) had an increased odds of experiencing a delivery hospitalization involving SMM when compared to non-Hispanic White women. Non-Hispanic Black women also had increased odds of experiencing a delivery hospitalization involving SMM in communities with the lowest income (quartile 1) (AOR 1.59; 95% CI 1.49–1.66), middle income (quartiles 2 and 3) (AOR 1.81; 95% CI 1.72–1.91), and highest income (AOR 2.09; 95% CI 1.90–2.29) when compared to non-Hispanic White women. We found that location of residence and community income are associated with racial and ethnic differences in SMM in the United States. These factors, outside of individual factors assessed in previous studies, provide a better understanding of some of the structural and systemic factors that may contribute to SMM.
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