RESUMO
Health care inequities among racial and ethnic groups remain prevalent. For people with type 1 diabetes who require increased medical access and care, disparities are seen in access to care and health outcomes. This article reports on a study by the T1D Exchange Quality Improvement Collaborative evaluating differences in A1C, diabetic ketoacidosis (DKA), severe hypoglycemia, and technology use among racial and ethnic groups. In a diverse cohort of nearly 20,000 children and adults with type 1 diabetes, A1C was found to differ significantly among racial and ethnic groups. Non-Hispanic Blacks had higher rates of DKA and severe hypoglycemia and the lowest rate of technology use. These results underscore the crucial need to study and overcome the barriers that lead to inequities in the care and outcomes of people with type 1 diabetes.
RESUMO
OBJECTIVE: To identify factors that predict medication adherence and to examine relationships among adherence, glycemic control, and indices of insulin action in TODAY (Treatment Options for Type 2 Diabetes in Adolescents and Youth). RESEARCH DESIGN AND METHODS: A total of 699 youth 10-17 years old with recent-onset type 2 diabetes and ≥80% adherence to metformin therapy for ≥8 weeks during a run-in period were randomized to receive one of three treatments. Participants took two study pills twice daily. Adherence was calculated by pill count from blister packs returned at visits. High adherence was defined as taking ≥80% of medication; low adherence was defined as taking <80% of medication. Depressive symptoms, insulin sensitivity (1/fasting insulin), insulinogenic index, and oral disposition index (oDI) were measured. Survival analysis examined the relationship between medication adherence and loss of glycemic control. Generalized linear mixed models analyzed trends in adherence over time. RESULTS: In this low socioeconomic cohort, high and low adherence did not differ by sex, age, family income, parental education, or treatment group. Adherence declined over time (72% high adherence at 2 months, 56% adherence at 48 months, P < 0.0001). A greater percentage of participants with low adherence had clinically significant depressive symptoms at baseline (18% vs. 12%, P = 0.0415). No adherence threshold predicted the loss of glycemic control. Longitudinally, participants with high adherence had significantly greater insulin sensitivity and oDI than those with low adherence. CONCLUSIONS: In the cohort, the presence of baseline clinically significant depressive symptoms was associated with subsequent lower adherence. Medication adherence was positively associated with insulin sensitivity and oDI, but, because of disease progression, adherence did not predict long-term treatment success.
Assuntos
Diabetes Mellitus Tipo 2/tratamento farmacológico , Adesão à Medicação , Adolescente , Glicemia/metabolismo , Índice de Massa Corporal , Criança , Estudos de Coortes , Depressão/sangue , Depressão/diagnóstico , Feminino , Hemoglobinas Glicadas/metabolismo , Humanos , Hipoglicemiantes/uso terapêutico , Insulina/sangue , Resistência à Insulina , Masculino , Metformina/uso terapêutico , Sensibilidade e Especificidade , Fatores SocioeconômicosRESUMO
OBJECTIVES: To test the feasibility and effectiveness of telemedicine to improve care of children with type 1 diabetes in schools. STUDY DESIGN: Subjects, ages 5 to 14 years (grades kindergarten through eighth) were randomized to usual care (18 students; 13 schools) or intervention (23 students; 12 schools). Usual care included medical visits every 3 months and communication between school nurse and diabetes team as needed by phone. The intervention group received usual care plus a telemedicine unit in the school nurse office to videoconference between the school nurse, child, and diabetes team every month. Hemoglobin A1c and pediatric quality of life were measured every 3 months for 1 year. Analyses used multilevel modeling. RESULTS: A1c values increased from baseline to 6 months for students in the usual care group and decreased in the telemedicine cohort (P < .02). Lower A1c levels in the telemedicine group were maintained over the next several months, and significant improvements in several subscales of the Pediatric Diabetes Quality of Life questionnaire were observed. In the telemedicine group, urgent diabetes-related calls initiated by the school nurse were significantly reduced, and there were fewer hospitalizations and emergency department visits. CONCLUSIONS: A school telemedicine program can improve diabetes care in grades kindergarten through eighth.