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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.
Liu, Jihong; Hung, Peiyin; Liang, Chen; Zhang, Jiajia; Qiao, Shan; Campbell, Berry A; Olatosi, Bankole; Torres, Myriam E; Hikmet, Neset; Li, Xiaoming.
  • Liu J; Department of Epidemiology & Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA jliu@mailbox.sc.edu.
  • Hung P; Department of Health Services Policy & Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.
  • Liang C; Department of Health Services Policy & Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.
  • Zhang J; Department of Epidemiology & Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.
  • Qiao S; Department of Health Promotion, Education, & Behavior, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.
  • Campbell BA; Department of Health Services Policy & Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.
  • Olatosi B; Department of Obstetrics and Gynecology, University of South Carolina School of Medicine, Columbia, South Carolina, USA.
  • Torres ME; Department of Health Services Policy & Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.
  • Hikmet N; Department of Epidemiology & Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.
  • Li X; Department of Integrated Information Technology, University of South Carolina College of Engineering and Computing, Columbia, South Carolina, USA.
BMJ Open ; 12(6): e062294, 2022 06 10.
Article in English | MEDLINE | ID: covidwho-1886767
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Maternal Health Services Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study / Qualitative research Limits: Female / Humans / Pregnancy Country/Region as subject: North America Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: BMJOPEN-2022-062294

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Maternal Health Services Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study / Qualitative research Limits: Female / Humans / Pregnancy Country/Region as subject: North America Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: BMJOPEN-2022-062294