Determinants of Severe Maternal Morbidity and Its Racial/Ethnic Disparities in New York City, 2008–2012
Autor: | Wendy Wilcox, Emily White Johansson, Meghan Angley, Sang Hee Won, Hannah Searing, Renata E. Howland, Sze Yan Liu |
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Rok vydání: | 2019 |
Předmět: |
Adult
medicine.medical_specialty Adolescent Social Determinants of Health Epidemiology Ethnic group Mothers Maternal morbidity Prenatal care Logistic regression Proxy (climate) Pregnancy Risk Factors Diabetes Mellitus Humans Medicine Obesity Healthcare Disparities Socioeconomic status business.industry Public health Public Health Environmental and Occupational Health Obstetrics and Gynecology Race Factors Logistic Models Socioeconomic Factors Population Surveillance Pediatrics Perinatology and Child Health Female New York City Morbidity business Medicaid Demography |
Zdroj: | Maternal and Child Health Journal. 23:346-355 |
ISSN: | 1573-6628 1092-7875 |
DOI: | 10.1007/s10995-018-2682-z |
Popis: | Objectives Severe maternal morbidity (SMM) is an important indicator for identifying and monitoring efforts to improve maternal health. Studies have identified independent risk factors, including race/ethnicity; however, there has been limited investigation of the modifying effect of socioeconomic factors. Study aims were to quantify SMM risk factors and to determine if socioeconomic status modifies the effect of race/ethnicity on SMM risk. Methods We used 2008-2012 NYC birth certificates matched with hospital discharge records for maternal deliveries. SMM was defined using an algorithm developed by the Centers for Disease Control and Prevention. Mixed-effects logistic regression models estimated SMM risk by demographic, socioeconomic, and health characteristics. The final model was stratified by Medicaid status (as a proxy for income), education, and neighborhood poverty. Results Of 588,232 matched hospital deliveries, 13,505 (229.6 per 10,000) had SMM. SMM rates varied by maternal age, birthplace, education, income, pre-existing chronic conditions, pre-pregnancy weight status, trimester of prenatal care entry, plurality, and parity. Race/ethnicity was consistently and significantly associated with SMM. While racial differences in SMM risk persisted across all socioeconomic groupings, the risk was exacerbated among Latinas and Asian-Pacific Islanders with lower income when compared to white non-Latinas. Similarly, living in the poorest neighborhoods exacerbated SMM risk among both black non-Latinas and Latinas. Conclusions for Practice SMM determinants in NYC mirror national trends, including racial/ethnic disparities. However, these disparities persisted even in the highest income and educational groups suggesting other pathways are needed to explain racial/ethnic differences. |
Databáze: | OpenAIRE |
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