Browsing by Subject "anti-glycemic medications"

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    Primary Language, Income and the Intensification of Anti-glycemic Medications in Managed Care: the (TRIAD) Study
    (2010-12) Duru, O Kenrik; Bilik, Dori; McEwen, Laura N.; Brown, Arleen F.; Karter, Andrew J.; Curb, J David; Marrero, David G.; Lu, Shou-En; Rodriguez, Michael; Mangione, Carol M.
    BACKGROUND Patients who speak Spanish and/or have low socioeconomic status are at greater risk of suboptimal glycemic control. Inadequate intensification of anti-glycemic medications may partially explain this disparity. OBJECTIVE To examine the associations between primary language, income, and medication intensification. DESIGN Cohort study with 18-month follow-up. PARTICIPANTS One thousand nine hundred and thirty-nine patients with Type 2 diabetes who were not using insulin enrolled in the Translating Research into Action for Diabetes Study (TRIAD), a study of diabetes care in managed care. MEASUREMENTS Using administrative pharmacy data, we compared the odds of medication intensification for patients with baseline A1c ≥ 8%, by primary language and annual income. Covariates included age, sex, race/ethnicity, education, Charlson score, diabetes duration, baseline A1c, type of diabetes treatment, and health plan. RESULTS Overall, 42.4% of patients were taking intensified regimens at the time of follow-up. We found no difference in the odds of intensification for English speakers versus Spanish speakers. However, compared to patients with incomes <15,000,patientswithincomesof15,000-39,999(OR1.43,1.07−1.92),40,000-74,999(OR1.62,1.16−2.26)or>75,000 (OR 2.22, 1.53-3.24) had increased odds of intensification. This latter pattern did not differ statistically by race. CONCLUSIONS Low-income patients were less likely to receive medication intensification compared to higher-income patients, but primary language (Spanish vs. English) was not associated with differences in intensification in a managed care setting. Future studies are needed to explain the reduced rate of intensification among low income patients in managed care.