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Racial inequities in cesarean use among high- and low-risk deliveries: An analysis of childbirth hospitalizations in New Jersey from 2000 to 2015.
McGregor, Alecia J; Garman, David; Hung, Peiyin; Tosin-Oni, Motunrayo; Orona, Kaitlyn Camacho; Molina, Rose L; Ciraldo, Katrina J; Kozhimannil, Katy Backes.
Affiliation
  • McGregor AJ; Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Garman D; Department of Economics, Tufts University, Medford, Massachusetts, USA.
  • Hung P; Department of Health Services Policy and Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.
  • Tosin-Oni M; Graduate School of Arts and Sciences, Harvard University, Cambridge, Massachusetts, USA.
  • Orona KC; Graduate School of Arts and Sciences, Harvard University, Cambridge, Massachusetts, USA.
  • Molina RL; Division of Global and Community Health, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
  • Ciraldo KJ; Department of Obstetrics, Gynecology, and Reproductive Sciences, Department of Family Medicine and Community Health, University of Miami Miller School of Medicine, Miami, Florida, USA.
  • Kozhimannil KB; Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA.
Health Serv Res ; 2024 Sep 07.
Article in En | MEDLINE | ID: mdl-39243210
ABSTRACT

OBJECTIVE:

To examine racial inequities in low-risk and high-risk (or "medically appropriate") cesarean delivery rates in New Jersey during the era surrounding the United States cesarean surge and peak. STUDY SETTING AND

DESIGN:

This retrospective repeated cross-sectional study examined the universe of childbirth hospitalizations in New Jersey from January 1, 2000 through September 30, 2015. We estimate the likelihood of cesarean delivery by maternal race and ethnicity, with mixed-level logistic regression models, stratified by cesarean risk level designated by the Society of Maternal Fetal Medicine (SMFM). DATA SOURCES AND ANALYTIC SAMPLE We used all-payer hospital discharge data from the Healthcare Cost and Utilization Project's State Inpatient Discharge Database and linked this data to the American Hospital Association Annual Survey. ZIP-code Tabulation Area (ZCTA)-level racialized economic segregation index data were from the 2007-2011 American Community Survey. We identified 1,604,976 statewide childbirth hospitalizations using International Classification of Diseases-9-CM (ICD-9) diagnosis and procedure codes and Diagnosis-Related Group codes, and created an indicator of cesarean delivery using ICD-9 codes. PRINCIPAL

FINDINGS:

Among low-risk deliveries, Black patients, particularly those in the age group of 35-39 years, had higher predicted probabilities of giving birth via cesarean than White people in the same age categories (Black-adjusted predicted probability = 24.0%; vs. White-adjusted predicted probability = 17.3%). Among high-risk deliveries, Black patients aged 35 to 39 years had a lower predicted probability (by 2.7 percentage points) of giving birth via cesarean compared with their White counterparts.

CONCLUSIONS:

This study uncovered a lack of medically appropriate cesarean delivery for Black patients, with low-risk Black patients at higher odds of cesarean delivery and high-risk Black patients at lower odds of cesarean than their White counterparts. The significant Black-White inequities highlight the need to address misalignment of evidence-based cesarean delivery practice in the efforts to improve maternal health equity. Quality metrics that track whether cesareans are provided when medically needed may contribute to clinical and policy efforts to prevent disproportionate maternal morbidity and mortality among Black patients.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Health Serv Res Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Health Serv Res Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos