Marilina Santero1, Daniela Morelli2, Analía Nejamis3, Luz Gibbons4, Vilma Irazola5, Andrea Beratarrechea6. 1. Institute for Clinical Effectiveness and Health Policy (IECS), Emilio Ravignani 2024 (C1414CPV), Buenos Aires, Argentina. Electronic address: msantero@iecs.org.ar. 2. Institute for Clinical Effectiveness and Health Policy (IECS), Emilio Ravignani 2024 (C1414CPV), Buenos Aires, Argentina. Electronic address: dmorelli@iecs.org.ar. 3. Institute for Clinical Effectiveness and Health Policy (IECS), Emilio Ravignani 2024 (C1414CPV), Buenos Aires, Argentina. Electronic address: anejamis@iecs.org.ar. 4. Institute for Clinical Effectiveness and Health Policy (IECS), Emilio Ravignani 2024 (C1414CPV), Buenos Aires, Argentina. Electronic address: lgibbons@iecs.org.ar. 5. Institute for Clinical Effectiveness and Health Policy (IECS), Emilio Ravignani 2024 (C1414CPV), Buenos Aires, Argentina. Electronic address: virazola@iecs.org.ar. 6. Institute for Clinical Effectiveness and Health Policy (IECS), Emilio Ravignani 2024 (C1414CPV), Buenos Aires, Argentina. Electronic address: aberatarrechea@iecs.org.ar.
Abstract
AIM: To evaluate the one-year post effect of the implementation of a diabetes program that includes mHealth interventions on the quality of diabetic care in public primary care centers. METHOD: It is a quasi-experimental study with outcome measurements at baseline, 6 and 12months. The program includes primary care team training, a diabetes registry with a decision support tool in an app. and text messages for patients. RESULTS: At baseline, 947 patients were included in the registry, 62.3% women with a mean age of 53.6±11.5years and 92% with type 2 diabetes. Common comorbidities were hypertension (61.3%) and obesity (59%). Only 16.9% had one HbA1c and 48.9% a cholesterol lab in the last year, 61.9% were screened for diabetic peripheral neuropathy, and 29.0% had one eye exam in the previous year. With respect to blood sugar, lipid and blood pressure control: 44.4% of those with HbA1c measurements had levels ≥8%, total cholesterol was over 200mg/dL in 40.6% and 48.2% had uncontrolled blood pressure values. CONCLUSION: Patients with diabetes received a low quality of care at public primary care clinics. A diabetes registry allowed us to draw an epidemiological profile of diabetic patients and determine the quality of care provided.
AIM: To evaluate the one-year post effect of the implementation of a diabetes program that includes mHealth interventions on the quality of diabetic care in public primary care centers. METHOD: It is a quasi-experimental study with outcome measurements at baseline, 6 and 12months. The program includes primary care team training, a diabetes registry with a decision support tool in an app. and text messages for patients. RESULTS: At baseline, 947 patients were included in the registry, 62.3% women with a mean age of 53.6±11.5years and 92% with type 2 diabetes. Common comorbidities were hypertension (61.3%) and obesity (59%). Only 16.9% had one HbA1c and 48.9% a cholesterol lab in the last year, 61.9% were screened for diabetic peripheral neuropathy, and 29.0% had one eye exam in the previous year. With respect to blood sugar, lipid and blood pressure control: 44.4% of those with HbA1c measurements had levels ≥8%, total cholesterol was over 200mg/dL in 40.6% and 48.2% had uncontrolled blood pressure values. CONCLUSION:Patients with diabetes received a low quality of care at public primary care clinics. A diabetes registry allowed us to draw an epidemiological profile of diabeticpatients and determine the quality of care provided.