• Benjamin G Allar, Micaela Torres, Rumel Mahmood, Gezzer Ortega, Jessica Himmelstein, Lisa Weissmann, Ketan Sheth, and Heidi J Rayala.
• Center for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
• Am J Prev Med. 2024 Mar 1; 66 (3): 473482473-482.

IntroductionBreast cancer screening (BCS) disparities leave historically underserved groups more vulnerable to adverse outcomes. This study explores granular associations between BCS and patient sociodemographic factors in a large urban safety-net health system.MethodsA retrospective review among female patients ages 50-74 within an urban safety-net health system was conducted in 2019. All patients had a primary care visit in the past 2 years. Multiple patient health and sociodemographic characteristics were reviewed, as well as provider gender and specialty. Bivariate analyses and multivariable logistic regression were performed in 2022.ResultsThe BCS rate among 11,962 women was 69.7%. Over half of patients were non-White (63.6%) and had public insurance (72.3%). Patients with limited English proficiency made up 44.3% of the cohort. Compared to their sociodemographic counterparts, patients with White race, English proficiency, and Medicare insurance had the lowest rates of BCS. Serious mental illness and substance use disorder were associated with lower odds of BCS. In multivariable analysis, when using White race and English speakers as a reference, most other races (Black, Hispanic, and Other) and languages (Spanish, Portuguese, and Other) had significantly higher odds of screening ranging from 8% to 63% higher, except Asian race and Haitian Creole language. Female (versus male) and internal medicine-trained providers were associated with higher screening odds.ConclusionsMultiple unique variables contribute to BCS disparities, influenced by patient and health system factors. Defining and understanding the interplay of these variables can guide policymaking and identify avenues to improve BCS for vulnerable or traditionally under-resourced populations.Copyright © 2023 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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