Optimizing Smart Technology for Addiction Recovery
STAR
Optimizing Algorithmic Feedback About Lapse Risk for Trust, Engagement, and Clinical Outcomes for Alcohol Use Disorder
4 other identifiers
interventional
416
1 country
1
Brief Summary
The goal of this study is to develop a machine-learning guided recovery messaging system. The main question it aims to answer is can messages be used to:
- help people to improve their health
- make changes in people's lives to address alcohol and substance use Participants will:
- complete surveys
- use a recovery-support digital therapeutic system
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Sep 2025
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 24, 2025
CompletedFirst Submitted
Initial submission to the registry
April 30, 2026
CompletedFirst Posted
Study publicly available on registry
May 7, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 31, 2029
ExpectedStudy Completion
Last participant's last visit for all outcomes
July 31, 2029
June 25, 2026
June 1, 2026
3.4 years
April 30, 2026
June 22, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Participant engagement with the STAR system
Measured as days of engagement with the recovery system.
data collected at 2 and 4 months
Secondary Outcomes (10)
Number of heavy drinking days in the previous 28 days
data collected at baseline, 2, 4 months
Number of drinking days in the previous 28 days
data collected at baseline, 2, 4 months
Flourishing Scale Score
data collected at baseline, 2, 4 months
Generalized Anxiety Disorder-7 (GAD-7) Score
data collected at baseline, 2, 4 months
Multidimensional Inventory of Recovery Capital (MIRC) Score: Total Score
data collected at baseline, 2, 4 months
- +5 more secondary outcomes
Study Arms (1)
STAR
EXPERIMENTALParticipants will use the STAR automated recover support system for 4 months
Interventions
Automated recovery support messaging system for participants with alcohol use disorder (AUD), paired with a machine learning guided relapse risk prediction model.
Eligibility Criteria
You may qualify if:
- meet criteria for alcohol use disorder with at least moderate severity (\>= 4 DSM-5 criteria)
- in initial remission with most recent use of alcohol between 1 week and 3 months in the past
- able to read English
- have a smartphone and cellular plan that supports STAR use (Apple iOS or Android)
You may not qualify if:
- medical or psychiatric co-morbidities that preclude use of a smartphone
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Wisconsin
Madison, Wisconsin, 53706, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
John Curtin, PhD
University of Wisconsin, Madison
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 30, 2026
First Posted
May 7, 2026
Study Start
September 24, 2025
Primary Completion (Estimated)
January 31, 2029
Study Completion (Estimated)
July 31, 2029
Last Updated
June 25, 2026
Record last verified: 2026-06
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF