Refinement and Adaption of Reinforcement Learning to Personalize Behavioral Messaging for Healthy Habits (REINFORCE2)
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 Contact
Study Contact
- Name: Julie Lauffenburger, PharmD, PhD
- Phone Number: 617-525-8865
- Email: jlauffenburger@bwh.harvard.edu
Study Locations
-
-
Massachusetts
-
Boston, Massachusetts, United States, 02118
- Boston Medical Center
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Diagnosis of Type 2 Diabetes Mellitus (T2DM)
- Prescribed between 1-3 daily oral medications for diabetes
- Most recent HbA1c level of 7% or greater
- Suboptimal adherence, defined by proportion of days covered (PDC) < 0.90 based on chart review
- Must have a smartphone for which they are the sole user
- Must have a basic working knowledge of English or Spanish
Exclusion Criteria:
- Currently using a pillbox and/or not willing to use electronic pill bottles for 6 months
- Receive help at home on a daily basis with taking medications
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- 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 |
|---|---|---|
|
Diabetes medication adherence
Time Frame: 6 months
|
Proportion of correct doses recorded by electronic pill bottles in the 6-month follow-up period, averaged across study medications
|
6 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Glycemic control
Time Frame: 6 months
|
Change between baseline HbA1c used for identification and the 6-month intervention period, using laboratory values in the EHR
|
6 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
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
- Endocrine System Diseases
- Metabolic Diseases
- Glucose Metabolism Disorders
- Diabetes Mellitus
- Behavior
- Nutritional and Metabolic Diseases
- Treatment Adherence and Compliance
- Health Behavior
- Patient Compliance
- Patient Acceptance of Health Care
- Diabetes Mellitus, Type 2
- Medication Adherence
- Machine Learning
- Artificial Intelligence
- Algorithms
- Mathematical Concepts
- Reinforcement Machine Learning
Other Study ID Numbers
Other Study ID Numbers
- 2023P000293
- P30AG064199-04 (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
product manufactured in and exported from the U.S.
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