Mobile-Based Self-Monitoring for Preventing Patients with Type 2 Diabetes Mellitus and Hypertension from Cardiovascular Complication

Currently, there is less attention to the prevention of patients with type 2 diabetes mellitus and hypertension from cardiovascular complication, although it is the significant cause of death for these patients worldwide. To be prevented from this complication, these patients should develop their self-monitoring skills along with their healthcare journey. Consequently, this paper aims to provide an efficient mobile-based self-monitoring that can encourage patients with type 2 diabetes mellitus and hypertension to improve their health status. The distinctive point of the proposed mobile application is the trend progression module for demonstrating the progression of four health statuses for the patients. This trend progression is modeled with a fuzzy logic-based method. The rules are generated based on clinical data, lifestyle data, and experience of healthcare professionals. There are eleven healthcare professionals involved in this paper. The experiment with one hundred twenty-one patients shows that the proposed mobile application provides 92% trend progression accuracy compared with healthcare professionals’ decisions. The developed mobile application obtains the function satisfaction and performance satisfaction in the “strongly satisfied” level. Besides, the developed mobile application can encourage 85% of patients to improve their health statuses. It can be seen that this paper is a new aspect of encouraging patients to concern more about the improvement of their health statuses anywhere and anytime.