Evidence map›Paper›PMID 37952778›Full record

ArticleAnnals of epidemiology2023

Severe maternal morbidity by race and ethnicity before vs. during the COVID-19 pandemic.

Jihong Liu, Peiyin Hung, Jiajia Zhang, Bankole Olatosi, Yiwen Shih, Chen Liang, Berry A Campbell, Neset Hikmet, Xiaoming Li

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

9 authors at 2 institutions in 1 country.

Jihong LiuDepartment of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA. Electronic address: jliu@mailbox.sc.edu.
Peiyin HungDepartment of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA.
Jiajia ZhangDepartment of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA.
Bankole OlatosiDepartment of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA.
Yiwen ShihDepartment of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA.
Chen LiangDepartment of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA.
Berry A CampbellDepartment of Obstetrics and Gynecology, School of Medicine, University of South Carolina, Two Medical Park, Columbia, SC 29203, USA.
Neset HikmetBig Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Department of Integrated Information Technology, College of Engineering and Computing, University of South Carolina, 550 Assembly Street, Columbia, SC 29208, USA.
Xiaoming LiBig Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Department of Health Promotion, Education, & Behavior, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA.
University of South Carolina · USMedical University of South Carolina · US

Funding

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, LIU, JIHONG · 2017 to 2021
$5.2M
Mitigating effects of telehealth uptake on disparities in maternal care access, quality, outcomes, and expenditures during the COVID-19 pandemicU01HD110062 · NICHD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI Peiyin Hung, Xiaoming Li · 2022 to 2026
$3.2M
NIAID NIH HHS R01 AI127203NICHD NIH HHS U01 HD110062
6 · The paper itself

Abstract

purposeTo examine the change in racial disparity in severe maternal morbidity (SMM) during the COVID-19 pandemic and the associations between SARS-CoV-2 infection and SMM.

methodsThis retrospective cohort study used linked databases of all livebirths delivered between 2018 and 2021 in South Carolina (n = 162,576). Exposures were 1) pre-pandemic and pandemic periods (before vs. March 2020 onwards); 2) SARS-CoV-2 infection, severity, and timing of first infection. Log-binomial regression models were used.

resultsSMM rate was higher among pandemic childbirths than pre-pandemic period (p = 0.06). The risk of SMM among Hispanics was doubled from pre-pandemic to pandemic periods (adjusted relative risk (aRR)= 2.50, 95% CI: 1.27, 4.94). During pre-pandemic, compared to White women, Black women (aRR=1.37, 95% CI: 1.14-1.64), while Hispanics had lower risk of SMM (aRR=0.42, 95% CI: 0.24-0.73). During the pandemic, the Black-White difference in the risk of SMM persisted (aRR=1.24, 95% CI: 1.00-1.54) and Hispanic-White difference in SMM risk became insignificant (aRR=0.85, 95% CI: 0.54-1.34). SARS-CoV-2 infection, its severity, and the late diagnosis were associated with 1.78-5.06 times higher risk of SMM.

conclusionsDuring pandemic, Black-White racial disparity in SMM persisted but the relative pre-pandemic advantage in SMM among Hispanic women over White women disappeared during the pandemic.

Indexed as

COVID-19EthnicityFemaleHumansPandemicsRetrospective StudiesSARS-CoV-2CoronavirusHealth disparityMaternal morbidityPostpartumPregnancySARS-CoV-2 infectionSARS-CoV-2 severitySevere diseaseSocial Determinants of Health

Identifiers

PMID37952778
PMCPMC10843780
OpenAlexW4388562639

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.