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Optimizing Smart Technology for Addiction Recovery (STAR)

22. juni 2026 oppdatert av: University of Wisconsin, Madison

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

Studieoversikt

Status

Rekruttering

Intervensjon / Behandling

Detaljert beskrivelse

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.

Studietype

Intervensjonell

Registrering (Antatt)

416

Fase

  • Ikke aktuelt

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiekontakt

Studer Kontakt Backup

Studiesteder

    • Wisconsin
      • Madison, Wisconsin, Forente stater, 53706
        • Rekruttering
        • University of Wisconsin

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

  • Voksen
  • Eldre voksen

Tar imot friske frivillige

Nei

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

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

  • Primært formål: Behandling
  • Tildeling: N/A
  • Intervensjonsmodell: Enkeltgruppeoppdrag
  • Masking: Ingen (Open Label)

Våpen og intervensjoner

Deltakergruppe / Arm
Intervensjon / Behandling
Eksperimentell: 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 navn:
  • Smart Technology for Addiction Recovery

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
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

Resultatmål
Tiltaksbeskrivelse
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

Samarbeidspartnere og etterforskere

Det er her du vil finne personer og organisasjoner som er involvert i denne studien.

Etterforskere

  • Hovedetterforsker: John Curtin, PhD, University of Wisconsin, Madison

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Faktiske)

24. september 2025

Primær fullføring (Antatt)

31. januar 2029

Studiet fullført (Antatt)

31. juli 2029

Datoer for studieregistrering

Først innsendt

30. april 2026

Først innsendt som oppfylte QC-kriteriene

30. april 2026

Først lagt ut (Faktiske)

7. mai 2026

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

25. juni 2026

Siste oppdatering sendt inn som oppfylte QC-kriteriene

22. juni 2026

Sist bekreftet

1. juni 2026

Mer informasjon

Begreper knyttet til denne studien

Andre studie-ID-numre

  • 2024-0869
  • A487400 (Annen identifikator: UW Madison)
  • 1R01AA031762-01 (U.S. NIH-stipend/kontrakt)
  • Protocol Version 4/22/2026 (Annen identifikator: UW Madison)

Plan for individuelle deltakerdata (IPD)

Planlegger du å dele individuelle deltakerdata (IPD)?

JA

IPD-deling Støtteinformasjonstype

  • STUDY_PROTOCOL
  • SEVJE
  • ICF

Legemiddel- og utstyrsinformasjon, studiedokumenter

Studerer et amerikansk FDA-regulert medikamentprodukt

Nei

Studerer et amerikansk FDA-regulert enhetsprodukt

Ja

produkt produsert i og eksportert fra USA

Nei

Denne informasjonen ble hentet direkte fra nettstedet clinicaltrials.gov uten noen endringer. Hvis du har noen forespørsler om å endre, fjerne eller oppdatere studiedetaljene dine, vennligst kontakt register@clinicaltrials.gov. Så snart en endring er implementert på clinicaltrials.gov, vil denne også bli oppdatert automatisk på nettstedet vårt. .

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