PT - JOURNAL ARTICLE AU - Prast, Brendan TI - Assessment of Obstetric Outcomes for New Mainers AID - 10.1370/afm.21.s1.4109 DP - 2023 Jan 01 TA - The Annals of Family Medicine PG - 4109 VI - 21 IP - Supplement 1 4099 - http://www.annfammed.org/content/21/Supplement_1/4109.short 4100 - http://www.annfammed.org/content/21/Supplement_1/4109.full SO - Ann Fam Med2023 Jan 01; 21 AB - Context: Maine Medical Center (MMC) cares for many newly arrived, non-English speaking residents in its provision of obstetric services (4% of Maine’s population in 2018). These patients may be at-risk for health care disparities because of language barriers, low socioeconomic status and stressors from a history of trauma.Objective: There is an ongoing need to understand the impact of immigration status on labor and delivery. We hypothesized that obstetric patients who speak a language other than English will have a higher C-section rate compared to English-speaking patients.Study Design and Analysis Retrospective data collection and analysis with descriptive analysis of the demographics and clinical characteristics of patients. Final analysis was completed with Chi-square testing, t-tests and logistic regression.Setting: MMC, a large tertiary-care center in Portland, ME.Dataset/Population Studied: All patients who delivered a newborn at MMC from 1/1/2018-12/31/2019.Outcome Measures: Primary outcome was Cesarean section rate.Results: A total of 5,710 patients delivered at MMC in 2018 and 2019. 91.1% identified their primary language as English, 8.9% identified a non-English language preference (2.1% French, 1.2% Arabic, 1.0% Somali, 4.6% other). 2058/5,710 were c-section deliveries. There was no statistically significant difference in Cesarean section rates between English speaking (36.3%) and non-English speaking (34.1%) patients during 2018-2019 (p=0.22).Among non-English speakers, we did identify higher Gravidity, Parity, higher percentage Medicaid coverage and older age at delivery (all p<0.0001). Increasing Gravidity was associated with C-section, while increasing Parity was protective. Medicaid or Governmental insurance was found to be associated with C-section. Adjusting the crude OR for C-section for known confounders using logistic regression found OR= 0.82 (95% CI 0.66, 1.01) non-English speakers, compared to English speakers.Conclusion: Our study did not reveal increased odds of C-section by language spoken, despite adjusting for confounders. Future work with higher numbers of non-English speaking patients might reveal an adjusted rate of C–section to be significantly different than English speakers.