Diabetes Mellitus Clinical Trial
Official title:
Innovative Approaches in Diabetes Care
It is estimated that 2.3 million Taiwanese have diabetes and there is a 44% increased rate among young adults and adolescents. Poor dietary habits and sedentary lifestyle are the major risk factors for type 2 diabetes. The growing availability of smartphones has boosted the development of new technologies that incorporate the use of digital food photography as health promotion and individualized nutrition care. Digital health technology is also used to prevent and treat diabetes with good degree of successes in the short term but the long term effect remains unknown. The broad aim of this study is to evaluate the effectiveness of digital technology eHealth care for diabetic patients. A total of 300 diabetic patients will be recruited from Diabetes Shared Care Network and community care center in Taiwan and follow up 12 months. A simple randomization by computer system will be used to randomly allocate subjects into 2 groups: control group and eHealth care. The control group (n=100) of diabetic patients will receive conventional health and nutrition education from state registered dietitian. The eHealth care group (n=200) of diabetic patients will receive a 10 mins of food portion size nutrition education using " 3D/AR MetaFood platform" and is required to record their consume meal by food image once a week using Taiwan FoodAPP. Patients in the eHealth group will receive instant feedback from the nutritionists or artificial intelligence (AI) for the information of glycemic index (GI) and glycemic load (GL), and educational video related to healthy eating or how to select GI/GL food. Anthropometry, and baseline questionnaires will be collected at baseline. Blood biochemistry (e.g. HbA1c) and body weight will be collected at baseline, 3, 6, 9, and 12 months. The collected food image data will be used for AI training to identify the relationship between the patient's diet and blood glucose changes over time.
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