Gamified Optimized Diabetes-management with AI powered Rural Telehealth (GODART)

通过人工智能驱动的农村远程医疗 (GODART) 进行游戏化优化糖尿病管理

• 批准号: 10482335
• 负责人: Tapan S Mehta
• 金额: $ 29.7万
• 依托单位: UNIVERSITY OF ALABAMA AT BIRMINGHAM
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-06 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10482335
• 关键词: Address; American; Americas; Area; Artificial Intelligence; Behavior monitoring; Censuses; Centers for Disease Control and Prevention (U.S.); Cessation of life; Clinical Trials; Congresses; Counseling; County; Data; Deep South; Diabetes Mellitus; Diet; Educational Materials; Effectiveness; Future; Glycosylated hemoglobin A; Guidelines; Health; Health behavior; Human; Individual; Intervention; Interview; Knowledge; Learning; Life Style Modification; Motivation; National Institute of Diabetes and Digestive and Kidney Diseases; Natural Language Processing; Non-Insulin-Dependent Diabetes Mellitus; Outcome; Participant; Persons; Phase; Physical activity; Pilot Projects; Poverty; Prevalence; Recommendation; Resources; Rewards; Rural; Rural Community; Rural Population; Services; Structure; System; Technology; Telephone; Testing; United States; Update; Urban Community; arm; base; cost; design; diabetes management; diabetes prevention program; effectiveness study; evidence based guidelines; experience; feasibility testing; glucose monitor; glycemic control; health disparity; health literacy; improved; innovation; marginalized population; mathematical ability; medication compliance; multiphase optimization strategy; patient oriented; pilot test; primary care setting; primary outcome; programs; recruit; response; rural counties; rural setting; social cognitive theory; telecoaching; telehealth; telephone coaching; usability

PROJECT SUMMARY/ABSTRACT Evidence-based guidelines for type 2 diabetes mellitus (T2DM) management aimed at glycemic control (reduced hemoglobin A1c) include a combination of diet, physical activity (PA), glucose monitoring, and medication adherences. However, the majority of individuals with T2DM are unable to follow these guidelines due to a lack of consistent health behavior counseling offered in the primary care setting. This problem is amplified in remote rural communities within the U.S. In response, this project aims to create an optimized telehealth-based intervention – Gamified Optimized Diabetes management with Artificial Intelligence–powered Rural Telehealth (GODART). GODART is grounded in the social cognitive theory and will serve as an automated behavior-monitoring and telecoaching platform. At the core, GODART is an automated conversational style behavior-monitoring system using natural language–understanding technologies. In this project, we propose to pilot and feasibility test the various components of GODART by leveraging multiphase optimization strategy (MOST). MOST is an efficient and rigorous resource-management and continuous- improvement framework for developing optimized interventions. Our proposal focuses on the MOST preparatory phase and will use a full factorial experimentation. We will pilot and assess the feasibility of and evaluate two different intervention components, with two levels in each of the groups, yielding four experimental conditions. These groups will test the effect of (i) a fixed vs. adaptive (gamified) rewards program and (ii) automated vs. human-delivered weekly health coaching. We will end the project with exit interviews conducted with a subset of participants. Study findings will help us learn the feasibility of delivering such an intervention and its preliminary effectiveness in reducing HbA1c, leading to adequately powered confirmatory effectiveness studies.

项目总结/文摘