Effectiveness of a diabetes program based on digital health on capacity building and quality of care in type 2 diabetes: a pragmatic quasi-experimental study.

Health systems in Latin America face many challenges in controlling the increasing burden of diabetes. Digital health interventions are a promise for the provision of care, especially in developing countries where mobile technology has a high penetration. This study evaluated the effectiveness of the implementation of a Diabetes Program (DP) that included digital health interventions to improve the quality of care of persons with type 2 Diabetes (T2DM) in a vulnerable population attending the public primary care network. MATERIALS AND METHODS: A quasi-experimental pre-post uncontrolled study was conducted in 19 primary care centers and hospitals in the province of Corrientes, Argentina. We included persons with T2DM, age > = 18 years with access to a mobile phone. The multicomponent intervention included a mobile app with a diabetes registry, a clinical decision support tool for providers and a text messaging intervention for patients. RESULTS AND DISCUSSION: One thousand sixty-five participants were included, 72.8% had less than 12 years of formal education and 53.5% lacked health coverage. Comorbidities were hypertension (60.8%) and overweight/obesity (88.2%). During follow-up there was a significant increase in the proportion of participants who underwent laboratory check-ups (HbA1c 20.3%-64.4%; p < 0.01) and foot exams (62.1%-87.2%; p < 0.01). No changes were observed at 12 and 24 months in the proportion of participants with poor metabolic control. The proportion of participants with uncontrolled blood pressure (≥ 140/90 mmHg) decreased from 47.2% at baseline to 30.8% at 24 months in those with a follow-up visit. CONCLUSION: The DP was innovative by integrating digital health interventions in the public primary care level. The study showed improvements in quality indicators related with diabetes care processes and in blood pressure control.

Post intensive care syndrome in survivors of COVID-19 who required mechanical ventilation during the third wave of the pandemic: A prospective study.

BACKGROUND: Post intensive care syndrome is defined as the presence of any impairment affecting the physical, psychiatric, or cognitive domains as a result of critical illnesses. OBJECTIVES: To explore functional, cognitive and psychological outcomes at 30 days post hospital discharge among survivors of COVID-19-associated acute respiratory distress syndrome, who required mechanical ventilation. METHODS: Prospective cohort study. We included adult patients with COVID-19-associated acute respiratory distress syndrome, invasively ventilated in two ICUs in Buenos Aires. We measured functional, cognitive and psychological impairments with Barthel index, Montreal Cognitive Assessment test, Patient Health Questionnaire-9 and General Anxiety Disorder-7. Primary outcome was post-intensive care syndrome. Secondary outcome was mortality at 60 days. RESULTS: We admitted 40 patients, median age was 69 (60-75) and mostly male (75%). Mortality at 60 days was 37%. Cox regression analysis identified diabetes and Apache II as independent predictors of mortality. Out of 22 patients studied, 14 (64%) developed PICS after discharge. With a physical, cognitive and psychological impairment in 64%, 41% and 32% of patients, respectively. Obesity, days of mechanical ventilation, Apache II, vasopressors use, delirium duration and cumulative midazolam dose were associated with functional dependence. CONCLUSIONS: We identified a high prevalence of functional, cognitive and mental impairment at 30 days after hospital discharge in COVID-19-associated acute respiratory distress syndrome survivors, invasively ventilated. The physical domain was the most frequently affected. These findings suggest the need for long-term follow-up of this population.