Evidence map›Paper›PMID 37648109›Full record

ArticleAmerican journal of obstetrics & gynecology MFM2023

Hospital-level variation in racial disparities in low-risk nulliparous cesarean delivery rates.

Elliott K Main, Shen-Chih Chang, Curisa M Tucker, Christa Sakowski, Stephanie A Leonard, Melissa G Rosenstein

Open access · greenAbstract read
In one paragraph

Article in American journal of obstetrics & gynecology MFM, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 15 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

6 authors at 3 institutions in 1 country.

Elliott K MainCalifornia Maternal Quality Care Collaborative, Stanford, CA (Drs Main and Chang, Ms Sakowski, and Drs Leonard and Rosenstein); Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (Drs Main and Leonard). Electronic address: emain@Stanford.edu.
Shen-Chih ChangCalifornia Maternal Quality Care Collaborative, Stanford, CA (Drs Main and Chang, Ms Sakowski, and Drs Leonard and Rosenstein); Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA (Drs Chang and Tucker and Ms Sakowski).
Curisa M TuckerDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA (Drs Chang and Tucker and Ms Sakowski).
Christa SakowskiCalifornia Maternal Quality Care Collaborative, Stanford, CA (Drs Main and Chang, Ms Sakowski, and Drs Leonard and Rosenstein); Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA (Drs Chang and Tucker and Ms Sakowski).
Stephanie A LeonardCalifornia Maternal Quality Care Collaborative, Stanford, CA (Drs Main and Chang, Ms Sakowski, and Drs Leonard and Rosenstein); Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (Drs Main and Leonard).
Melissa G RosensteinCalifornia Maternal Quality Care Collaborative, Stanford, CA (Drs Main and Chang, Ms Sakowski, and Drs Leonard and Rosenstein); Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California, CA (Dr Rosenstein).
Stanford Health Care · USStanford University · USUniversity of California, San Francisco · US

Funding

Stanford PRIHSM: Promoting Improvement in Hemorrhage-related Severe Maternal MorbidityU54HD113142 · NICHD · STANFORD UNIVERSITY · PI Deirdre Lyell · 2023 to 2026
$11.0M
Building a causal pathway framework to identify interventions to prevent severe maternal morbidityR01NR020335 · NINR · STANFORD UNIVERSITY · PI CARMICHAEL, SUZAN L · 2021 to 2025
$3.7M
NICHD NIH HHS U54 HD113142NINR NIH HHS R01 NR020335
6 · The paper itself

Abstract

backgroundNationally, rates of cesarean delivery are highest among Black patients compared with other racial/ethnic groups. These observed inequities are a relatively new phenomenon (in the 1980s, cesarean delivery rates among Black patients were lower than average), indicating an opportunity to narrow the gap. Cesarean delivery rates vary greatly among hospitals, masking racial disparities that are unseen when rates are reported in aggregate.

objectiveThis study aimed to explore reasons for the current large Black-White disparity in first-birth cesarean delivery rates by first examining the hospital-level variation in first-birth cesarean delivery rates among different racial/ethnic groups. We then identified hospitals that had low first-birth cesarean delivery rates among Black patients and compared them with hospitals with high rates. We sought to identify differences in facility or patient characteristics that could explain the racial disparity. STUDY

designA population cross-sectional study was performed on 1,267,493 California live births from 2018 through 2020 using birth certificate data linked with maternal patient discharge records. Annual nulliparous term singleton vertex cesarean delivery (first-birth) rates were calculated for the most common racial/ethnic groups statewide and for each hospital. Self-identified race/ethnicity categories as selected on the birth certificate were used. Relative risk and 95% confidence intervals for first-birth cesarean delivery comparing 2019 with 2015 were estimated using a log-binomial model for each racial/ethnic group. Patient and hospital characteristics were compared between hospitals with first-birth cesarean delivery rates <23.9% for Black patients and hospitals with rates ≥23.9% for Black patients.

resultsHospitals with at least 30 nulliparous term singleton vertex Asian, Black, Hispanic, and White patients each were identified. Black patients had a very different distribution, with a significantly higher rate (28.4%) and wider standard deviation (7.1) and interquartile range (6.5) than other racial groups (P<.01). A total of 29 hospitals with a low first-birth cesarean delivery rate among Black patients were identified using the Healthy People 2020 target of 23.9% and compared with 106 hospitals with higher rates. The low-rate group had a cesarean delivery rate of 19.9%, as opposed to 30.7% in the higher-rate group. There were no significant differences between the groups in hospital characteristics (ownership, delivery volume, neonatal level of care, proportion of midwife deliveries) or patient characteristics (age, education, insurance, onset of prenatal care, body mass index, hypertension, diabetes mellitus). Among the 106 hospitals that did not meet the target for Black patients, 63 met it for White patients with a mean rate of 21.4%. In the same hospitals, the mean rate for Black patients was 29.5%. Among Black patients in the group that did not meet the 23.9% target, there were significantly higher rates of all cesarean delivery indications: labor dystocia, fetal concern (spontaneous labor), and no labor (eg, macrosomia), which are all indications with a high degree of subjectivity.

conclusionThe statewide cesarean delivery rate of Black patients is significantly higher and has substantially greater hospital variation compared with other racial or ethnic groups. The lack of difference in facility or patient characteristics between hospitals with low cesarean delivery rates among Black patients and those with high rates suggests that unconscious bias and structural racism potentially play important roles in creating these racial differences.

Indexed as

Cesarean SectionHospitalsBlack or African AmericanCross-Sectional StudiesFemaleHealthcare DisparitiesHealth Services AccessibilityHumansInfant, NewbornParityPregnancyRiskWhiteAsianBlackcesarean deliverydisparityHispanichospital variationnulliparous term singleton vertex

Identifiers

PMID37648109
PMCPMC10873027
OpenAlexW4386225862

What OpenQuestion holds

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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.