Rosemary G McKaig
$886,186
Jihong Liu
UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
South Carolina
NIH Office of the Director
Annually in the U.S., nearly 60,000 women experience severe maternal morbidity and mortality (SMMM) with substantial health disparities by race/ethnicity, even prior to the COVID-19 pandemic. The unprecedented COVID-19 pandemic has hit communities of color the hardest. Non-Hispanic Black and Hispanic women who are pregnant appear to have disproportionate SARS-CoV-2 infection and death rates. Questions regarding the impact of the COVID-19 pandemic on racial disparities in SMMM and the dynamics and interactions of multilevel determinants such as broader social contexts of SMMM remain unanswered. The overarching goal of this study is to investigate racial/ethnic disparities in maternal morbidity and mortality (MMM), the contributing roles and mediating pathways of social contexts (e.g., residential segregation, racial discrimination in poverty, education, unemployment, and home ownership), and their long-standing health consequences postpartum. We will achieve our goal by studying the distributions of COVID-19 cases and multilevel determinants of maternal health in South Carolina (SC), a state with persistent racial disparities in SMMM within historical systemic Southern contexts, and in the U.S. We will build upon our existing statewide SC COVID-19 Cohort (S3C) by creating a pregnancy cohort that will link COVID-19 testing data, electronic health records (EHR), and birth certificate data for all births in SC in 2019-2020. To ensure the generalizability of our findings, we will confirm them using EHR data from the ongoing National COVID Cohort Collaborative (N3C). Nationwide social context databases and time-varying COVID-19 severity and social distancing policies will be added to S3C and N3c data. We will use the socio-ecological framework and employ a concurrent triangulation, mixed methods study design to achieve three specific aims: 1) to examine the impacts of the COVID-19 pandemic on racial/ethnic disparities in MMM; 2) to examine and explore how the key features of social contexts have contributed to the widening of racial/ethnic disparities in MMM during the pandemic (Aim 2a) and identify distinct mediating pathways through maternity care and mental health (Aim 2b); and 3) to examine the role of social contextual factors and identify protective factors for racial/ethnic disparities in pregnancy-related, long-standing morbidities using machine learning algorithms. For Aim 2b, a convergent parallel design will be used, which includes a quantitative analysis of data from SC PRAMS and qualitative interviews of postpartum women (20 Black, 20 Hispanics) and 10 maternal care providers. Our experienced team is well positioned to investigate the complexity of racial disparities in MMM during the COVID-19 pandemic, while considering historical structural racism in a racially, socioeconomically, and geographically diverse population of pregnant women. A rigorous examination of social contexts on racial/ethnic disparities in MMM and mental health during the pandemic will inform continuing efforts to reverse the rising trends of SMMM in the U.S. Our proposal addresses Areas 1, 2, & 4 in the NOT-OD-21-071.