Importance: Cesarean birth rate among nulliparous, term, singleton, vertex (NTSV) pregnancies is a standard quality measure in obstetrical care. There are limited data on how the number and type of preexisting conditions affect mode of delivery among primigravidae, and it is also uncertain how maternal comorbidity burden differs across racial and ethnic groups and whether this helps to explain disparities in the NTSV cesarean birth rate.
Objective: To determine the association between obstetric comorbidity index (OB-CMI) score and cesarean delivery among NTSV pregnancies and to evaluate whether disparities in mode of delivery exist based on race and ethnicity group after adjusting for covariate factors.
Design, Setting, And Participants: This cross-sectional study of deliveries between January 2019 and December 2021 took place across 7 hospitals within a large academic health system in New York and included all NTSV pregnancies identified in the electronic medical record system. Exclusion criteria were fetal demise and contraindication to labor.
Exposure: The OB-CMI score. Covariate factors assessed included race and ethnicity group (American Indian or Alaska Native, Asian or Pacific Islander, Hispanic, non-Hispanic Black, non-Hispanic White, other or multiracial, and declined or unknown), public health insurance, and preferred language.
Main Outcome And Measures: Cesarean delivery.
Results: A total of 30 253 patients (mean [SD] age, 29.8 [5.4] years; 100% female) were included. Non-Hispanic White patients constituted the largest race and ethnicity group (43.7%), followed by Hispanic patients (16.2%), Asian or Pacific Islander patients (14.6%), and non-Hispanic Black patients (12.2%). The overall NTSV cesarean birth rate was 28.5% (n = 8632); the rate increased from 22.1% among patients with an OB-CMI score of 0 to greater than 55.0% when OB-CMI scores were 7 or higher. On multivariable mixed-effects logistic regression modeling, there was a statistically significant association between OB-CMI score group and cesarean delivery; each successive OB-CMI score group had an increased risk. Patients with an OB-CMI score of 4 or higher had more than 3 times greater odds of a cesarean birth (adjusted odds ratio, 3.14; 95% CI, 2.90-3.40) than those with an OB-CMI score of 0. Compared with non-Hispanic White patients, nearly all other race and ethnicity groups were at increased risk for cesarean delivery, and non-Hispanic Black patients were at highest risk (adjusted odds ratio, 1.43; 95% CI, 1.31-1.55).
Conclusions And Relevance: In this cross-sectional study of patients with NTSV pregnancies, OB-CMI score was positively associated with cesarean birth. Racial and ethnic disparities in this metric were observed. Although differences in the prevalence of preexisting conditions were seen across groups, this did not fully explain variation in cesarean delivery rates, suggesting that unmeasured clinical or nonclinical factors may have influenced the outcome.
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http://dx.doi.org/10.1001/jamanetworkopen.2023.38604 | DOI Listing |
Am J Obstet Gynecol MFM
December 2024
Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA (Hirshberg, James, Levine, Howell, and Srinivas); Leonard Davis Institute of Health Economics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (Levine, Howell, and Srinivas).
Background: Racial disparities in maternal pregnancy outcomes, specifically in morbidity and mortality, are persistent in the U.S., and a multifaceted approach to mitigating these disparate outcomes is critical.
View Article and Find Full Text PDFAm J Obstet Gynecol MFM
October 2024
Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA.
Background: Severe maternal morbidity (SMM) is increasing in the United States. Several tools and scores exist to stratify an individual's risk of SMM.
Objective: We sought to examine and compare the validity of four scoring systems for predicting SMM.
Am J Perinatol
May 2024
Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, South Shore University Hospital - Zucker School of Medicine at Hofstra/Northwell, Bay Shore, New York.
Objective: We evaluated the associations of the obstetric comorbidity index (OB-CMI) and social vulnerability index (SVI) with severe maternal morbidity (SMM).
Study Design: Multicenter retrospective cohort study of all patients who delivered (gestational age > 20 weeks) within a university health system from January 1, 2019, to December 31, 2021. OB-CMI scores were assigned to patients using clinical documentation and diagnosis codes.
JAMA Netw Open
October 2023
Department of Obstetrics and Gynecology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York.
Importance: Cesarean birth rate among nulliparous, term, singleton, vertex (NTSV) pregnancies is a standard quality measure in obstetrical care. There are limited data on how the number and type of preexisting conditions affect mode of delivery among primigravidae, and it is also uncertain how maternal comorbidity burden differs across racial and ethnic groups and whether this helps to explain disparities in the NTSV cesarean birth rate.
Objective: To determine the association between obstetric comorbidity index (OB-CMI) score and cesarean delivery among NTSV pregnancies and to evaluate whether disparities in mode of delivery exist based on race and ethnicity group after adjusting for covariate factors.
JAMA Netw Open
October 2022
Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, Massachusetts.
Importance: Risk-stratification tools are routinely used in obstetrics to assist care teams in assessing and communicating risk associated with delivery. Electronic health record data and machine learning methods may offer a novel opportunity to improve and automate risk assessment.
Objective: To compare the predictive performance of natural language processing (NLP) of clinician documentation with that of a previously validated tool to identify individuals at high risk for maternal morbidity.
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