Reinforcement Learning in Diabetes Mellitus Trial (REINFORCE)
Optimizing Message Framing for Healthy Habits for Patients With Type 2 Diabetes - Phase II (Pragmatic Trial)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Massachusetts
-
Boston, Massachusetts, United States, 02120
- Brigham and Women's Hospital
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion criteria:
- Age between 18-84 years
- Diagnosed with type 2 diabetes mellitus (T2DM) and are prescribed between 1-3 daily oral medications for this disease
- Currently have a smartphone with a data plan or WiFi at home
- HbA1c level ≥7.5%
- Basic working knowledge of English
- Willing and able to set up the platform and adhere to study procedures
- Either not currently using a pillbox or willing to use electronic pill bottles (EDMs) for diabetes medications for the duration of the study
Exclusion criteria:
- Patients with active enrollment in another diabetes trial within Mass General Brigham
- Patients who receive daily assistance with taking their medications at home
- Patients who are unable to receive text messages for more than 3 days in a row during the study period
Study Plan
How is the study designed?
Design Details
- Primary Purpose: HEALTH_SERVICES_RESEARCH
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: DOUBLE
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
EXPERIMENTAL: Reinforcement Learning Intervention Arm
Up to daily, tailored text messages.
|
Participants in the intervention arm will receive up to daily, tailored text messages based on their electronic pill bottle-measured adherence.
Given the participants' baseline characteristics and time-varying responses to the messages, a reinforcement learning algorithm will deliver different text messages and adapt over time to determine which type of messaging works best for each individual participant.
|
|
NO_INTERVENTION: Control Arm
Up to daily, untailored text messages.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Medication Adherence
Time Frame: 6 months
|
Medication adherence to type 2 diabetes oral medications (averaged) as measured by the number of dates and times of pillbottle openings in the electronic pill bottles
|
6 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Glycemic Control
Time Frame: 6 months
|
Change in glycated hemoglobin A1c from baseline to end of the 6-month follow-up
|
6 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2020P000846
- P30AG064199-01 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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