Using mHealth Tools to Improve Access and Coverage of People With Public Health Insurance and High Cardiovascular Disease Risk in Argentina: A Pragmatic Cluster Randomized Trial

• Autores: Beratarrechea, Andrea Gabriela; Abrahams Gessel, Shafika; Irazola, Vilma; Gutierrez, Laura; Moyano, Daniela Luz; Gaziano, Thomas A.
• Año de publicación: 2019
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: ARGENTINA; CARDIOVASCULAR; MHEALTH; PREVENTION; SCREENING
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

Background-—Control of cardiovascular disease (CVD) risk factors is suboptimal in Argentina, despite the government’s provision of free blood pressure and cholesterol-lowering medications for people without private insurance. We assessed whether community health workers’ use of an integrated mHealth tool encourages patients to attend visits at primary care clinics to improve CVD risk management in 2 provinces of Argentina. Methods and Results-—We conducted a pragmatic cluster randomized trial, with primary care clinics randomly assigned to intervention or control. Eligible people were aged 40 to 79 years, lived in the catchment area of primary care clinics, possessed a mobile phone for personal use, had public health coverage, and a 10-year CVD risk ≥10%. In the control arm, community health workers screened for CVD risk using a paper-based tool and encouraged high-risk people to present to the primary care clinics for care. In the intervention arm, community health workers used the mHealth tool to calculate CVD risk and confirm a scheduled physician appointment. Primary outcomes were the proportion of participants who attended a baseline visit and completed at least 1 follow-up, respectively. We enrolled 755 people (376 interventions; 379 controls). Intervention participants were significantly more likely to complete baseline visits (49.4% versus 13.5%, P value 0.0008) and follow-up visits (31.9% versus 7.7%; P value 0.0041). The use of chronic medication and current smoking were significant predictors of primary outcomes. Conclusions-—Use of mHealth tools identifies patients at high CVD risk in their home, increases the likelihood of participating in chronic CVD risk factor management, and strengthens referrals.
Fil: Beratarrechea, Andrea Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina
Fil: Abrahams Gessel, Shafika. Harvard University. Harvard School of Public Health; Estados Unidos
Fil: Irazola, Vilma. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina
Fil: Gutierrez, Laura. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Moyano, Daniela Luz. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Gaziano, Thomas A.. Harvard University. Harvard School of Public Health; Estados Unidos