Feasibility of Use of Fitbit, Brief DSMES, and Targeted Text Messaging in Sedentary Adults With Type 2 Diabetes in Primary Care Settings
University of Colorado, Denver
Summary
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.
Eligibility
- Age range
- 18–80 years
- Sex
- All
- Healthy volunteers
- No
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…
Interventions
- BehavioralFitbit and AI Chatbot
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.
- OtherRoutine Care
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.
Location
- University of Colorado, AnschutzAurora, Colorado