Glycemic Control and Health Disparities in Older Ethnically Diverse Underserved Adults With Diabetes

Abstract

OBJECTIVE The Informatics for Diabetes Education and Telemedicine (IDEATel) project randomized ethnically diverse underserved older adults with diabetes to a telemedicine intervention or usual care. Intervention participants had lower A1C levels over 5 years. New analyses were performed to help better understand this difference. RESEARCH DESIGN AND METHODS IDEATel randomized Medicare beneficiaries with diabetes (n = 1,665) to receive home video visits with a diabetes educator and upload glucose levels every 4–6 weeks or usual care (2000–2007). Annual measurements included BMI, A1C (primary outcome), and completion of questionnaires. Mixed-model analyses were performed using random effects to adjust for clustering within primary care physicians. RESULTS At baseline, A1C levels (mean ± SD) were 7.02 ± 1.25% in non-Hispanic whites (n = 821), 7.58 ± 1.78% in non-Hispanic blacks (n = 248), and 7.79 ± 1.68% in Hispanics (n = 585). Over time, lower A1C levels were associated with more glucose uploads (P = 0.02) and female sex (P = 0.002). Blacks, Hispanics, and insulin-users had higher A1C levels than non-Hispanic whites (P < 0.0001). BMI was not associated with A1C levels. Blacks and Hispanics had significantly fewer uploads than non-Hispanic whites over time. Hispanics had the highest baseline A1C levels and showed the greatest improvement in the intervention, but, unlike non-Hispanic whites, Hispanics did not achieve A1C levels <7.0% at 5 years. CONCLUSIONS Racial/ethnic disparities were observed in this cohort of underserved older adults with diabetes. The IDEATel telemedicine intervention was associated with improvement in glycemic control, particularly in Hispanics, who had the highest baseline A1C levels, suggesting that telemedicine has the potential to help reduce disparities in diabetes management.