Evidence map›Paper›PMID 38504483›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Differences in Cesarean Rates for Nulliparous, Term, Singleton, Vertex Births Among Racial and Ethnic Groups and States Before and After Stay-at-Home Orders During the COVID-19 Pandemic, United States, 2017-2021.

Khaleel S Hussaini, Romeo Galang, Rui Li

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Khaleel S HussainiDivision of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0002-7635-2622
Romeo GalangDivision of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Rui LiOffice of Epidemiology and Research, Maternal and Child Health Bureau, Division of Research, Health Resources and Services Administration, US Department of Health and Human Services, Rockville, MD, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectivesEvidence is limited on differences in cesarean rates for nulliparous, term, singleton, vertex (NTSV) births across racial and ethnic groups at the national and state level during the COVID-19 pandemic. We assessed changes in levels and trends of NTSV cesarean rates before and after stay-at-home orders (SAHOs) were implemented in the United States (1) overall, (2) by racial and ethnic groups, and (3) by 50 US states from January 2017 through December 2021.

methodsWe used birth certificate data from 2017 through 2021, restricted to hospital births, to calculate monthly NTSV cesarean rates for the United States and for racial and ethnic groups and to calculate quarterly NTSV cesarean rates for the 50 states. We used interrupted time-series analysis to measure changes in NTSV cesarean rates before and after implementation of SAHOs (March 1 through May 31, 2020).

resultsOf 6 022 552 NTSV hospital births, 1 579 645 (26.2%) were cesarean births. Before implementation of SAHOs, NTSV cesarean rates were declining in the United States overall; were declining among births to non-Hispanic Asian, non-Hispanic Black, Hispanic, and non-Hispanic White women; and were declining in 6 states. During the first month of implementation of SAHOs in May 2020, monthly NTSV rates increased in the United States by 0.55%. Monthly NTSV rates increased by 1.20% among non-Hispanic Black women, 0.90% among Hispanic women, and 0.28% among non-Hispanic White women; quarterly NTSV rates increased in 6 states.

conclusionIn addition to emergency preparedness planning, hospital monitoring, and reporting of NTSV cesarean rates to increase provider awareness, reallocation and prioritization of resources may help to identify potential strains on health care systems during public health emergencies such as the COVID-19 pandemic.

Indexed as

Cesarean SectionEthnicityRacial GroupsCOVID-19FemaleHumansPandemicsParityPregnancyUnited Statescesarean birthsCOVID-19interrupted time seriesracial and ethnic differencesstay-at-home orders

Identifiers

PMID38504483
PMCPMC11344689

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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.