Alcohol Use Disorder, Alcohol Use Disorder (AUD)
Conditions
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
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.
Interventions
DEVICESTAR
Automated recovery support messaging system for participants with alcohol use disorder (AUD), paired with a machine learning guided relapse risk prediction model.
Sponsors
University of Wisconsin, Madison
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Participant engagement with the STAR system | data collected at 2 and 4 months | Measured as days of engagement with the recovery system. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Number of heavy drinking days in the previous 28 days | data collected at baseline, 2, 4 months | Data collected via Timeline Followback (TLFB) conducted by interview at 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, 4, 5-6, 7-8, over 8). Four or more drinks are considered heavy drinking days for women and greater than 4 drinks are considered heavy drinking days for men. |
| Number of drinking days in the previous 28 days | data collected at baseline, 2, 4 months | Data collected via Timeline Followback (TLFB) conducted by interview at 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. |
| Flourishing Scale Score | data collected at baseline, 2, 4 months | 10 items rated on 0-10 Likert scale where lower scores represent worse functioning and higher scores represent better functioning. Total possible range of scores is from 0-100. |
| Generalized Anxiety Disorder-7 (GAD-7) Score | data collected at baseline, 2, 4 months | 7 items rated on 0-3 Likert scale where lower scores represent better functioning and higher scores represent worse functioning. Total possible range of scores is from 0-21. |
| Multidimensional Inventory of Recovery Capital (MIRC) Score: Total Score | data collected at baseline, 2, 4 months | 1-4 Likert scale. Some items are reverse coded but higher total scores represent better functioning and lower total scores represent worse functioning. Scored as total score 4-56. |
| Multidimensional Inventory of Recovery Capital (MIRC) Score: Each Domain | data collected at baseline, 2, 4 months | 1-4 Likert scale. Some items are reverse coded but higher total scores represent better functioning and lower total scores represent worse functioning. Scored in 4 domains (social, physical, human, and cultural), each from 1-14. |
| Patient Health Questionnaire (PQH-9) Score | data collected at baseline, 2, 4 months | 9 items rated on 1-4 Likert scale. Total possible range of scores from 0-27 where lower scores represent better functioning and higher scores represent worse functioning. |
| Digital Working Alliance Inventory (D-WAI) | data collected at 2 and 4 months | Six items rated on 1-7 Likert scale. Scored in 3 domains (Goals, Tasks, Bonds, each with 2 items) with possible scores from 2 to 14 where higher scores represent greater alliance with the STAR system in that domain. |
| Message Usefulness | data collected at 2 and 4 months | Seven items rated on 1-7 Likert scale. Total possible scores from 7 to 49 where higher scores represent greater valuation of STAR message usefulness. |
| Trust of the System | data collected at 2 and 4 months | Ten items rated on 1-7 Likert scale. Total possible scores from 10 to 70 where higher scores represent greater trust in the STAR system. |
Countries
United States
Contacts
CONTACTSusan Wanta
CONTACTThea Blum
PRINCIPAL_INVESTIGATORJohn Curtin, PhD
University of Wisconsin, Madison
Outcome results
None listed