No abstract

Immigrant women face unique barriers to prenatal care access and patient-provider communication. Yet, few prior studies have examined U.S.-born/immigrant differences in the content of care. The purpose of this study was to investigate the roles of immigrant status, English proficiency and race/ethnicity on the receipt of self-reported prenatal counseling using nationally representative data. We used data from the Early Childhood Longitudinal Study-Birth Cohort (N ≈ 8100). We investigated differences in self-reported prenatal counseling by immigrant status, English proficiency, and race/ethnicity using logistic regression. Counseling topics included diet, smoking, drinking, medication use, breastfeeding, baby development and early labor. In additional analyses, we separately examined these relationships among Hispanic, Mexican and Non-Hispanic (NH) Asian women. Neither immigrant status nor self-reported English proficiency was associated with prenatal counseling. However, we found that being interviewed in a language other than English language by ECLS-B surveyors was positively associated with counseling on smoking (OR, 2.599; 95% CI, 1.229-5.495) and fetal development (OR, 2.408; 95% CI, 1.052-5.507) among Asian women. Race/ethnicity was positively associated with counseling, particularly among NH black and Hispanic women. There is little evidence of systematic overall differences in self-reported prenatal counseling between U.S.-born and immigrant mothers. Future research should investigate disparities in pregnancy-related knowledge among racial/ethnic subgroups.

Background Caesarean section (C-sections) is a medically critical and often life-saving procedure for prevention of childbirth complications. However, there are reports of its overuse, especially in women covered by private insurance as compared to public insurance. This study evaluates the difference in C-Section rates among nulliparous women in Florida hospitals across insurance groups and quantifies the contribution of maternal and hospital factors in explaining the difference in rates. Methods We used Florida’s inpatient data provided by the Florida Agency for HealthCare Administration (FLAHCA) and focused on low-risk births that occurred between January 1, 2010, and September 30, 2015. A Fairlie decomposition method was performed on cross-sectional data to decompose the difference in C-Section rates between insurance groups into the proportion explained versus unexplained by the differences in observable maternal and hospital factors. Results Of the 386,612 NTSV low-risk births, 72,984 were delivered via C-Section (18.87%). Higher prevalence of C-section at maternal level was associated with diabetes, hypertension, and the expectant mother being over 35 years old. Higher prevalence of C-section at the hospital level was associated with lower occupancy rate, presence of neonatal ICU (NICU) unit and higher obstetrics care level in the hospital. Private insurance coverage in expectant mothers is associated with C-section rates that were 4.4 percentage points higher as compared to that of public insurance. Just over 33.7% of the 4.4 percentage point difference in C-section rates between the two insurance groups can be accounted for by maternal and hospital factors. Conclusions The study identifies that the prevalence of C-sections in expectant mothers covered by private insurance is higher compared to mothers covered by public insurance. Although, majority of the difference in C-Section rates across insurance groups remains unexplained (around 66.3%), the main contributor that explains the other 33.7% is advancing maternal age and socioeconomic status of the expectant mother. Further investigation to explore additional factors that explain the difference needs to be done if United States wants to target specific policies to lower overall C-Section rate.