Optimizing Smart Technology for Addiction Recovery (STAR)
Optimizing Algorithmic Feedback About Lapse Risk for Trust, Engagement, and Clinical Outcomes for Alcohol Use Disorder
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
Studieoversigt
Status
Status
Betingelser
Betingelser
Intervention / Behandling
Intervention / Behandling
Detaljeret beskrivelse
Undersøgelsestype
Undersøgelsestype
Tilmelding (Anslået)
Tilmelding
Fase
Fase
- Ikke anvendelig
Kontakter og lokationer
Studiekontakt
Studiekontakt
- Navn: Susan Wanta
- Telefonnummer: 608-262-0387
- E-mail: schneck2@wisc.edu
Undersøgelse Kontakt Backup
- Navn: Thea Blum
- Telefonnummer: 608-262-1362
- E-mail: tblm4@wisc.edu
Studiesteder
-
-
Wisconsin
-
Madison, Wisconsin, Forenede Stater, 53706
- Rekruttering
- University of Wisconsin
-
-
Deltagelseskriterier
Berettigelseskriterier
Berettigelseskriterier
Aldre berettiget til at studere
- Voksen
- Ældre voksen
Tager imod sunde frivillige
Beskrivelse
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
Studieplan
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Behandling
- Tildeling: N/A
- Interventionel model: Enkelt gruppeopgave
- Maskning: Ingen (Åben etiket)
Antal våben
Våben og indgreb
Deltagergruppe / ArmDeltagergruppe / Arm |
Intervention / BehandlingIntervention / Behandling |
|---|---|
|
Eksperimentel: STAR
Participants will use the STAR automated recover support system for 4 months
|
Automated recovery support messaging system for participants with alcohol use disorder (AUD), paired with a machine learning guided relapse risk prediction model.
Andre navne:
|
Hvad måler undersøgelsen?
Primære resultatmål
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
|
Participant engagement with the STAR system
Tidsramme: data collected at 2 and 4 months
|
Measured as days of engagement with the recovery system.
|
data collected at 2 and 4 months
|
Sekundære resultatmål
Sekundære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
|
Number of heavy drinking days in the previous 28 days
Tidsramme: 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.
|
data collected at baseline, 2, 4 months
|
|
Number of drinking days in the previous 28 days
Tidsramme: 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.
|
data collected at baseline, 2, 4 months
|
|
Flourishing Scale Score
Tidsramme: 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.
|
data collected at baseline, 2, 4 months
|
|
Generalized Anxiety Disorder-7 (GAD-7) Score
Tidsramme: 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.
|
data collected at baseline, 2, 4 months
|
|
Multidimensional Inventory of Recovery Capital (MIRC) Score: Total Score
Tidsramme: 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.
|
data collected at baseline, 2, 4 months
|
|
Multidimensional Inventory of Recovery Capital (MIRC) Score: Each Domain
Tidsramme: 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.
|
data collected at baseline, 2, 4 months
|
|
Patient Health Questionnaire (PQH-9) Score
Tidsramme: 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.
|
data collected at baseline, 2, 4 months
|
|
Digital Working Alliance Inventory (D-WAI)
Tidsramme: 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.
|
data collected at 2 and 4 months
|
|
Message Usefulness
Tidsramme: 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.
|
data collected at 2 and 4 months
|
|
Trust of the System
Tidsramme: 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.
|
data collected at 2 and 4 months
|
Samarbejdspartnere og efterforskere
Sponsor
Sponsor
Samarbejdspartnere
Samarbejdspartnere
Efterforskere
Efterforskere
- Ledende efterforsker: John Curtin, PhD, University of Wisconsin, Madison
Datoer for undersøgelser
Studer store datoer
Studiestart (Faktiske)
Studiestart
Primær færdiggørelse (Anslået)
Primær færdiggørelse
Studieafslutning (Anslået)
Studieafslutning
Datoer for studieregistrering
Først indsendt
Først indsendt
Først indsendt, der opfyldte QC-kriterier
Først indsendt, der opfyldte QC-kriterier
Først opslået (Faktiske)
Først opslået
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
Sidste opdatering sendt
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidst verificeret
Sidst verificeret
Mere information
Begreber relateret til denne undersøgelse
Yderligere relevante MeSH-vilkår
Andre undersøgelses-id-numre
Andre undersøgelses-id-numre
- 2024-0869
- A487400 (Anden identifikator: UW Madison)
- 1R01AA031762-01 (U.S. NIH-bevilling/kontrakt)
- Protocol Version 4/22/2026 (Anden identifikator: UW Madison)
Plan for individuelle deltagerdata (IPD)
Planlægger du at dele individuelle deltagerdata (IPD)?
IPD-deling Understøttende informationstype
- STUDY_PROTOCOL
- SAP
- ICF
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