Racial-Ethnic Disparities in Diabetes Technology use Among Young Adults with Type 1 Diabetes

Abstract

Background: Recent studies highlight racial-ethnic disparities in insulin pump and continuous glucose monitor (CGM) use in people with type 1 diabetes (T1D), but drivers of disparities remain poorly understood beyond socioeconomic status (SES). Methods: We recruited a diverse sample of young adults (YA) with T1D from six diabetes centers across the United States, enrolling equal numbers of non-Hispanic (NH) White, NH Black, and Hispanic YA. We used multivariate logistic regression to examine to what extent SES, demographics, health care factors (care setting, clinic attendance), and diabetes self-management (diabetes numeracy, self-monitoring of blood glucose, and Self-Care Inventory score) explained insulin pump and CGM use in each racial-ethnic group. Results: We recruited 300 YA with T1D, aged 18-28 years. Fifty-two percent were publicly insured, and the mean hemoglobin A1c was 9.5%. Large racial-ethnic disparities in insulin pump and CGM use existed: 72% and 71% for NH White, 40% and 37% for Hispanic, and 18% and 28% for NH Black, respectively. After multiple adjustment, insulin pump and CGM use remained disparate: 61% and 53% for NH White, 49% and 58% for Hispanic, and 20 and 31% for NH Black, respectively. Conclusions: Insulin pump and CGM use was the lowest in NH Black, intermediate in Hispanic, and highest in NH White YA with T1D. SES was not the sole driver of disparities nor did additional demographic, health care, or diabetes-specific factors fully explain disparities, especially between NH Black and White YA. Future work should examine how minority YA preferences, provider implicit bias, systemic racism, and mistrust of medical systems help to explain disparities in diabetes technology use.

Keywords: Continuous glucose monitor; Health care disparities; Inequity; Insulin pump; Technology; Type 1 diabetes; Young adults.

FIG. 1.

Percentage of YA with T1D in each racial–ethnic group using insulin pump and CGM comparing unadjusted and fully adjusted estimates. Adjustment included: demographic and clinical variables, SES, healthcare factors, and diabetes self-management. CGM, continuous glucose monitor; T1D, type 1 diabetes; YA, young adults.