Hernán A Pérez1, Akinwunmi O Adeoye2, Laura Aballay3, Luis A Armando4, Néstor H García5. 1. Blossom DMO, Hipólito Irigoyen 31, Córdoba, X5000, Argentina; Center for Advanced Imaging Research, Department of Diagnostic Radiology and Nuclear Medicine, Maryland University, Baltimore, MA, USA. 2. Department of Biochemistry, Federal University Oye-Ekiti, Nigeria; INICSA, Enrique Barros Pabellón Biología Celular, Ciudad Universitaria, X5000, Córdoba, Argentina. 3. INICSA, Enrique Barros Pabellón Biología Celular, Ciudad Universitaria, X5000, Córdoba, Argentina. 4. Blossom DMO, Hipólito Irigoyen 31, Córdoba, X5000, Argentina. 5. INICSA, Enrique Barros Pabellón Biología Celular, Ciudad Universitaria, X5000, Córdoba, Argentina. Electronic address: garcia.nestor@conicet.gov.ar.
Abstract
BACKGROUND AND AIM: Addressing chronic problems requires a model of care that promotes self-management of the disease and facilitates adherence to treatment. This project was designed to enhance patient's clinical and functional outcomes through a Comprehensive Model to be implemented in our health system and to evaluate the results. METHODS AND RESULTS: Different population stratification tools were tested and designed to classify subjects according to different variables. We have developed a program to detect and screen cardiometabolic risk by integrating most of the Chronic Care Model recommendations through in-house developed management software (MoviHealth®). From the results, 1317 subjects were evaluated (27% of the whole population) during the first year of follow-up which significantly improved for all variables along the follow-up period. The blood pressure of the hypertensive population in 2010 and 2015 showed the importance of enrollment of subjects and the optimization of the blood pressure control. The result of HbA1c observed in 2010 decreased progressively to 7.1 ± 1.4% in 2015, and dyslipidemia levels improved gradually. The number of cardiovascular events requiring hospitalization decreased significantly (48%), from 1.9 events per 100 subjects in 2011 to 0.98 in 2015. CONCLUSION: Our program has combined strategies for the prevention and control of non-communicable diseases, incorporating interventions to control risk factors and to reduce morbidity and mortality. It also had improvements in life quality, accessibility to health-care services, and the promotion of self-care.
BACKGROUND AND AIM: Addressing chronic problems requires a model of care that promotes self-management of the disease and facilitates adherence to treatment. This project was designed to enhance patient's clinical and functional outcomes through a Comprehensive Model to be implemented in our health system and to evaluate the results. METHODS AND RESULTS: Different population stratification tools were tested and designed to classify subjects according to different variables. We have developed a program to detect and screen cardiometabolic risk by integrating most of the Chronic Care Model recommendations through in-house developed management software (MoviHealth®). From the results, 1317 subjects were evaluated (27% of the whole population) during the first year of follow-up which significantly improved for all variables along the follow-up period. The blood pressure of the hypertensive population in 2010 and 2015 showed the importance of enrollment of subjects and the optimization of the blood pressure control. The result of HbA1c observed in 2010 decreased progressively to 7.1 ± 1.4% in 2015, and dyslipidemia levels improved gradually. The number of cardiovascular events requiring hospitalization decreased significantly (48%), from 1.9 events per 100 subjects in 2011 to 0.98 in 2015. CONCLUSION: Our program has combined strategies for the prevention and control of non-communicable diseases, incorporating interventions to control risk factors and to reduce morbidity and mortality. It also had improvements in life quality, accessibility to health-care services, and the promotion of self-care.
Authors: David Školoudík; Petra Kešnerová; Tomáš Hrbáč; David Netuka; Jaroslav Vomáčka; Kateřina Langová; Roman Herzig; Tomáš Belšan Journal: Stroke Vasc Neurol Date: 2021-12-01