Refinement and Adaption of Reinforcement Learning to Personalize Behavioral Messaging for Healthy Habits
NCT ID: NCT05742685
Last Updated: 2025-12-22
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
NA
28 participants
INTERVENTIONAL
2023-08-23
2026-05-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
DOUBLE
Study Groups
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Reinforcement Learning Intervention Arm
Up to daily, tailored text messages.
Reinforcement Learning
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.
Control Arm
Up to daily, untailored text messages.
No interventions assigned to this group
Interventions
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Reinforcement Learning
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.
Eligibility Criteria
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Inclusion Criteria
* 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
* Receive help at home on a daily basis with taking medications
18 Years
84 Years
ALL
No
Sponsors
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Boston Medical Center
OTHER
National Institute on Aging (NIA)
NIH
Brigham and Women's Hospital
OTHER
Responsible Party
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Julie Lauffenburger
Assistant Professor
Locations
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Boston Medical Center
Boston, Massachusetts, United States
Countries
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Other Identifiers
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2023P000293
Identifier Type: -
Identifier Source: org_study_id