Dynamically Tailored Behavioral Interventions in Diabetes
NCT04226027 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 300
Last updated 2026-05-13
Summary
In this project, the investigators will evaluate the efficacy of a novel approach to personalizing behavioral interventions for self-management of type 2 diabetes (T2DM) to individuals' behavioral and glycemic profiles discovered using computational learning and self-monitoring data. This study is a two-arm randomized controlled trial with n=280 participants recruited from the participating Federally Qualified Health Centers (FQHCs). The participants will be randomly assigned to the intervention group and the usual care (control) group with 1-1 allocation ratio. Half of the participants (n=140) will be randomly assigned to a usual care (control) group. Both groups will receive standard diabetes education at their respective FQHC site. In addition, the experimental group will receive instructions to use T2.coach for a minimum of 6 months.
Conditions
Interventions
- BEHAVIORAL
-
T2.coach
T2.coach is a smartphone app for low-burden capture of diet and blood glucose (BG) levels and for reviewing past records, integrated with FitBit for captured of physical activity and sleep. All captured data are sent to the computational inference engine that uses machine learning methods and expert system to formulate personalized behavioral goals. Examples of behavioral goals include the following: "For high carbohydrate breakfasts, reduce your carbs to be about 1 carb choice. Examples of 1 carb choice are 1 slice of whole wheat toast, 1 cup of oatmeal, or 1 apple." The T2.coach chatbot companion uses text messages to help individuals set goals that are consistent with evidence based guidelines for diabetes self-management, inferences on data captured with T2.coach, and their own preferences, as well as send individuals goal reminders and prompts for reflection on goal achievement.
Sponsors & Collaborators
-
Clinical Directors Network
collaborator NETWORK -
University of Colorado, Denver
collaborator OTHER -
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
collaborator NIH - lead OTHER
Principal Investigators
-
Olena Mamykina, PhD · Columbia University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-01-17
- Primary Completion
- 2025-03-30
- Completion
- 2025-03-30
Countries
- United States
Study Locations
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