Optimizing Smart Technology for Addiction Recovery
Purpose
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
Conditions
- Alcohol Use Disorder
- Alcohol Use Disorder (AUD)
Eligibility
- Eligible Ages
- Over 18 Years
- Eligible Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- 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)
Exclusion Criteria
- medical or psychiatric co-morbidities that preclude use of a smartphone
Study Design
- Phase
- N/A
- Study Type
- Interventional
- Allocation
- N/A
- Intervention Model
- Single Group Assignment
- Primary Purpose
- Treatment
- Masking
- None (Open Label)
Arm Groups
| Arm | Description | Assigned Intervention |
|---|---|---|
|
Experimental STAR |
Participants will use the STAR automated recover support system for 4 months |
|
Recruiting Locations
University of Wisconsin
Madison, Wisconsin 53706
Madison, Wisconsin 53706
More Details
- Status
- Recruiting
- Sponsor
- University of Wisconsin, Madison
Detailed Description
This study seeks to optimize messaging components which can be implemented in a recovery support messaging system such as may accompany a digital therapeutic app, in order to determine optimal messaging to increase interaction with recovery support resources, and whether messaging has any effect on clinical outcomes.