University of Colorado, Denver
The goal of this observational study is to evaluate the feasibility and acceptability of a 12-week intervention utilizing a Fitbit and artificial intelligence (AI)-delivered diabetes self-management education and support (DSMES) with tailored text messages. The main question it aims to answer is: Does providing a wearable fitness and activity tracker plus AI-tailored and DSMES improve clinical outcomes for patients with type 2 diabetes? Participants will complete a baseline visit, wear a Fitbit and answer text messages for 12-weeks, and complete by a final visit.
Inclusion Criteria: * Diagnosed with type 2 diabetes per investigator discretion * No more than 20% of the sample will have A1c \< 7.5% (confirmed by medical record review or an A1c completed within 3 months of the screening visit) * Age ≥18 years and ≤ 80 years * Does not meet ADA guidelines for physical activity (\< 150 minutes of aerobic exercise per week defined as any activity where the participant can talk but not sing) * Has a smartphone compatible with a Fitbit Exclusion Criteria: * Completing more than 60 minutes of moderate to vigorous activity per week defined as activity where y…
Participants will wear their Fitbit devices daily for 12-weeks and will receive personalized messages from the AI Chatbot every week with a new exercise recommendation based on their previous week's activity level. Additionally, they can engage with the AI Chatbot through text message for further support and education.
The control group will consist of patients with type 2 diabetes who meet the study's inclusion criteria but have not participated in the intervention.
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