Evidence map›Paper›PMID 41400913›Full record

ArticleJournal of racial and ethnic health disparities2025

Systemic Hospital Effects Driving Racial Disparities in Non-Elective Cesarean Delivery: Evidence from the New York Metropolitan Area.

Khadeja Kausar, Chunxi Guo, Sampath Gopalan, Mayi Gnofam, Shoshana Haberman, John A Rizzo

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Article in Journal of racial and ethnic health disparities, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Khadeja KausarPublic Health Research, Stony Brook University, 101 Nicolls Rd, Stony Brook, NY, 11794, USA. khadeja.kausar@stonybrook.edu.ORCID http://orcid.org/0000-0001-7152-968X
Chunxi GuoPublic Health Research, Stony Brook University, 101 Nicolls Rd, Stony Brook, NY, 11794, USA. chunxi.guo@stonybrook.edu.
Sampath GopalanMaimonides Medical Center, 929 48th Street, Brooklyn, NY, 11219, USA. samgop@gmail.com.
Mayi GnofamPublic Health Research, Stony Brook University, 101 Nicolls Rd, Stony Brook, NY, 11794, USA. mayi.gnofam@stonybrook.edu.
Shoshana HabermanDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Maimonides Medical Center, Brooklyn, NY, USA. shaberman@maimo.org.
John A RizzoFamily Population and Preventative Medicine, Stony Brook, USA. john.rizzo@stonybrookmedicine.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon‑Hispanic Black patients have higher non‑elective cesarean rates than Whites, but it is unclear how much of this gap is due to observable patient and hospital factors versus unmeasured structural influences.

methodsWe analyzed 160,122 patients who were either Non-Hispanic Black or White using New York State Statewide Planning and Research Cooperative System (SPARCS) files for New York City and Long Island for the years 2018-2022. Racial group characteristics were compared using chi-square tests and the Oaxaca Blinder decomposition method was employed to decompose the racial disparity in cesarean surgery into explained and unexplained components.

resultsCesarean rates were 37.8 % for Non-Hispanic Black patients and 27.8 % for White patients (difference = -10.0 percentage points, p = 0.001). A small percentage of hospitals accounted for the majority of Black deliveries: 10 of the 51 hospitals accounted for 51.3 % of all Black births. Furthermore, 29.3 % of all Black deliveries occurred in facilities where White deliveries comprised <1 %. Observable factors explained only 7% (+ 0.77 percentage points; p = 0.71) of the overall gap, whereas unexplained effects accounted for 107% (-10.73; p < 0.001). Hospitals alone accounted for 40 % of the unexplained component, suggesting differential treatment within hospital driving a large share of the observed disparity in cesarian rates.

conclusionsDifferential treatment by hospitals contributed almost half of the total Black/White disparity in non-elective cesarean deliveries. Interventions that standardize practice and distribute resources equitably across hospitals are essential to help close this gap.

Indexed as

Blinder oaxaca decomposition methodNon-elective cesareanRacial disparitiesStructural inequalities

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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.