Multilevel determinants of racial/ethnic disparities in severe maternal morbidity and mortality in the context of the COVID-19 pandemic in the USA: protocol for a concurrent triangulation, mixed-methods study. Issue 6 (10th June 2022)

• Record Type: Journal Article
• Authors: Liu, Jihong; Hung, Peiyin; Liang, Chen; Zhang, Jiajia; Qiao, Shan; Campbell, Berry A; Olatosi, Bankole; Torres, Myriam E; Hikmet, Neset; Li, Xiaoming
• Is Part Of: BMJ open. Volume 12:Issue 6(2022)
• Publication Date: 2022-06-10
• Subjects: COVID-19 -- Health informatics -- EPIDEMIOLOGY -- Maternal medicine -- PERINATOLOGY -- PUBLIC HEALTH; Medicine -- Research -- Periodicals; 610.72
• DOI: 10.1136/bmjopen-2022-062294
• Languages: English
• ISSNs: 2044-6055

Abstract

Abstract : Introduction: The COVID-19 pandemic has affected communities of colour the hardest. Non-Hispanic black and Hispanic pregnant women appear to have disproportionate SARS-CoV-2 infection and death rates. Methods and analysis: We will use the socioecological framework and employ a concurrent triangulation, mixed-methods study design to achieve three specific aims: (1) examine the impacts of the COVID-19 pandemic on racial/ethnic disparities in severe maternal morbidity and mortality (SMMM); (2) explore how social contexts (eg, racial/ethnic residential segregation) have contributed to the widening of racial/ethnic disparities in SMMM during the pandemic and identify distinct mediating pathways through maternity care and mental health; and (3) determine the role of social contextual factors on racial/ethnic disparities in pregnancy-related morbidities using machine learning algorithms. We will leverage an existing South Carolina COVID-19 Cohort by creating a pregnancy cohort that links COVID-19 testing data, electronic health records (EHRs), vital records data, healthcare utilisation data and billing data for all births in South Carolina (SC) between 2018 and 2021 (>200 000 births). We will also conduct similar analyses using EHR data from the National COVID-19 Cohort Collaborative including >270 000 women who had a childbirth between 2018 and 2021 in the USA. We will use a convergent parallel design which includes a quantitative analysis of data from the 2018–2021 SC Pregnancy Risk Assessment and Monitoring System (unweighted n>2000) and in-depth interviews of 40 postpartum women and 10 maternal care providers to identify distinct mediating pathways. Ethics and dissemination: The study was approved by institutional review boards at the University of SC (Pro00115169) and the SC Department of Health and Environmental Control (DHEC IRB.21-030). Informed consent will be provided by the participants in the in-depth interviews. Study findings will be disseminated with key stakeholders including patients, presented at academic conferences and published in peer-reviewed journals.