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 app
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started May 2026
Typical duration 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
First Submitted
Initial submission to the registry
April 30, 2026
CompletedStudy Start
First participant enrolled
May 1, 2026
CompletedFirst Posted
Study publicly available on registry
May 7, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2029
ExpectedStudy Completion
Last participant's last visit for all outcomes
May 1, 2029
May 7, 2026
April 1, 2026
3 years
April 30, 2026
April 30, 2026
Conditions
Outcome Measures
Primary Outcomes (3)
Change in heavy drinking days in the previous 60 days
Data collected via Timeline Followback (TLFB) conducted by interview and 0, 2, and 4 months. Ecological Momentary Assessment (EMA) lapse reports will be used to supplement the TLFB. These are daily surveys where the participant answers the question "have you had a drink you have not yet reported?" (Yes/No). If yes they are asked to indicate the date of their drinking and how many drinks they consumed that day (less than 1, 1-2, 3-5, 5-6, 7-8, over 8). Greater than 3 drinks are considered heavy drinking days for women and greater than 4 drinks are considered heavy drinking days for men.
data collected at baseline, 2, 4 months
Change in drinking days in the previous 60 days
Data collected via Timeline Followback (TLFB) conducted by interview and 0, 2, and 4 months. EMA lapse reports will be used to supplement the TLFB. These are daily surveys where the participant answers the question "have you had a drink you have not yet reported?" (Yes/No). If yes they are asked to indicate the date of their drinking.
data collected at baseline, 2, 4 months
Change in lapse probability
Data measured via prediction model output which provides a daily lapse probability. This probability is a numeric value from 0-1, zero representing no probability of lapse and 1 representing 100% probability of lapse.
Baseline to 4 months
Secondary Outcomes (4)
Flourishing Scale Score
up to 4 months
Generalized Anxiety Disorder-7 (GAD-7) Score
up to 4 months
Multidimensional Inventory of Recovery Capital (MIRC) Score
up to 4 months
Patient Health Questionnaire (PQH-9) Score
up to 4 months
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 assessed via module E of the Structured Clinical Interview for DSM-5182)
- 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 Curtain, 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
May 1, 2026
Primary Completion (Estimated)
May 1, 2029
Study Completion (Estimated)
May 1, 2029
Last Updated
May 7, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF