The Influence of Racial/Ethnic and Gender Concordance on Care Among Non-Pregnant Women of Childbearing Age with Diabetes Mellitus: an Analysis of the Medical Expenditure Panel Survey, 2010-2019

J Racial Ethn Health Disparities. 2023 Sep 14. doi: 10.1007/s40615-023-01779-z. Online ahead of print.

Abstract

Introduction: This study examined associations between patient-provider race/ethnicity concordance and gender concordance on overall healthcare ratings, self-efficacy, and diabetes care monitoring in non-pregnant women of childbearing age with diabetes mellitus before and after adjusting for sociodemographic factors.

Methods: We analyzed longitudinal data from the 2010-2019 Medical Expenditure Panel Survey. The sample was limited to non-pregnant women of childbearing age (18-45 years) diagnosed with diabetes (unweighted n = 327; weighted n = 566,504). Bivariate analysis, logistic regression, and latent variable modeling were performed.

Results: Few racially minoritized women reported racial/ethnic and gender concordance with their healthcare provider. Only 2.9% of Hispanic women reported having a Hispanic provider and 12.1% of non-Hispanic Black women reported seeing a non-Hispanic Black provider compared to 81.1% of non-Hispanic White women who reported seeing a non-Hispanic White provider (p < .0001). Among Hispanic women, 15.3% reported seeing a female provider compared to 25.2% of non-Hispanic Black and 53.5% of non-Hispanic White women. Patient-provider race/ethnicity and gender concordance were not statistically significantly associated with overall healthcare ratings, self-efficacy, or diabetes care monitoring.

Conclusions: This study revealed a large disparity in race/ethnicity and gender concordance among minority women of reproductive age with diabetes compared to their non-Hispanic White counterparts. There is a need for larger, more robust studies to examine the influence of provider and other healthcare characteristics on diabetes-related outcomes in this understudied population.

Keywords: Diabetes care; Diabetes mellitus; Gender concordance; Medical Expenditure Panel Survey; Race concordance, Ethnic concordance.