Evidence map›Paper›PMID 35688597›Full record

ArticleBMJ open2022

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.

Jihong Liu, Peiyin Hung, Chen Liang, Jiajia Zhang, Shan Qiao, Berry A Campbell, Bankole Olatosi, Myriam E Torres, Neset Hikmet, Xiaoming Li

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Jihong LiuDepartment of Epidemiology & Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA jliu@mailbox.sc.edu.ORCID 0000-0001-8685-3036
Peiyin HungDepartment of Health Services Policy & Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.
Chen LiangDepartment of Health Services Policy & Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.ORCID 0000-0002-9803-9880
Jiajia ZhangDepartment of Epidemiology & Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.
Shan QiaoDepartment of Health Promotion, Education, & Behavior, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.ORCID 0000-0002-5555-9034
Berry A CampbellDepartment of Health Services Policy & Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.
Bankole OlatosiDepartment of Health Services Policy & Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.ORCID 0000-0002-8295-8735
Myriam E TorresDepartment of Epidemiology & Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.
Neset HikmetDepartment of Integrated Information Technology, University of South Carolina College of Engineering and Computing, Columbia, South Carolina, USA.
Xiaoming LiDepartment of Health Promotion, Education, & Behavior, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.ORCID 0000-0002-5555-9034
University of South Carolina · US

Funding

CD2H - The National COVID Cohort Collaborative (N3C) IDeA CTR CollaborationU24TR002306 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CHUTE, CHRISTOPHER G, EICHMANN, DAVID A. · 2017 to 2021
$28.9M
Multilevel Determinants of Racial and Ethnic Disparities in Maternal Morbidity and Mortality in the Context of COVID-19 PandemicR01AI127203 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LI, XIAOMING, OLATOSI, BANKOLE · 2017 to 2021
$5.2M
NCATS NIH HHS U24 TR002306NIAID NIH HHS R01 AI127203
6 · The paper itself

Abstract

introductionThe 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.

Indexed as

COVID-19Maternal Health ServicesCOVID-19 TestingFemaleHumansMorbidityPandemicsParturitionPregnancySARS-CoV-2United StatesCOVID-19EPIDEMIOLOGYHealth informaticsMaternal medicinePERINATOLOGYPUBLIC HEALTH

Identifiers

PMID35688597
PMCPMC9189547
OpenAlexW4281766224

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.