Advancing Scalable Alcohol Brief Interventions in the ED: A Trial of Conversational AI With Digital Reinforcements (MICA-ED)
16. juni 2026 opdateret af: Brian Suffoletto, Stanford University
A Randomized Trial of an AI Intervention to Help Individuals With Risky Alcohol Use Among Emergency Department Patients
The goal of this clinical trial is to learn if a novel digital strategy combining a generative AI counseling agent (MICA) and weekly SMS boosters works to reduce risky drinking among Emergency Department patients.
Studieoversigt
Status
Ikke rekrutterer endnu
Betingelser
Intervention / Behandling
Undersøgelsestype
Interventionel
Tilmelding (Anslået)
750
Fase
- Ikke anvendelig
Kontakter og lokationer
Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.
Studiesteder
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California
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Palo Alto, California, Forenede Stater, 94304
- Stanford University Medical Center
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Deltagelseskriterier
Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.
Berettigelseskriterier
Aldre berettiget til at studere
- Voksen
- Ældre voksen
Tager imod sunde frivillige
Ingen
Beskrivelse
Inclusion Criteria:
- For men: 1+ days with 5 or more drinks OR any week with 14+ drinks/week in the past 3 months
- For women: 1+ days with 4 or more drinks OR any week with 7+ drinks/week in the past 3 months
- Owns a mobile phone
- Reads English language
Exclusion Criteria:
- For women: current or planned pregnancy in next 12 months
- Prisoner or active military status
Studieplan
Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Forebyggelse
- Tildeling: Randomiseret
- Interventionel model: Parallel tildeling
- Maskning: Dobbelt
Våben og indgreb
Deltagergruppe / Arm |
Intervention / Behandling |
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Eksperimentel: MICA
MICA is a generative AI-powered counseling agent that delivers brief Motivational Interviewing (MI)-consistent sessions, following the validated MI process (engagement, focusing, evoking, planning, and closing).
It uses personalized prompts to promote autonomy and evoke change talk, ending with a session summary and satisfaction check.
Participants will complete a MICA session (~5-10 min) in the ED and at 3 months.
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MICA is an AI chatbot that uses a secure API with ChatGPT and prompted to follow MI principles to support individuals in exploring and resolving ambivalence about their alcohol use.
MICA follows a predefined conversational framework and steps: introduction, engagement, focusing, evoking, planning, and closing-adapted from Miller & Rollnick's Motivational Interviewing: Helping People Change (3rd ed.).
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Eksperimentel: MICA+SMS
This condition includes the MICA ED session, a 3-month booster, and 12 weeks of weekly SMS messages supporting self-monitoring, goal-setting, and adaptive strategies.
Messages are tailored based on reported alcohol use and goal commitment, offering encouragement, feedback, and harm-reduction messaging.
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MICA is an AI chatbot that uses a secure API with ChatGPT and prompted to follow MI principles to support individuals in exploring and resolving ambivalence about their alcohol use.
MICA follows a predefined conversational framework and steps: introduction, engagement, focusing, evoking, planning, and closing-adapted from Miller & Rollnick's Motivational Interviewing: Helping People Change (3rd ed.).
Weekly SMS check-ins designed to support goal-setting, self-monitoring, and adaptive self-regulation strategies.
Beginning the Sunday after enrollment, participants will engage with an automated SMS program once weekly for 12 weeks.
Prompts include reporting on the past week's alcohol use and whether they are willing to commit to a drinking limit goal for the upcoming week.
Responses trigger tailored feedback.
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Ingen indgriben: Standard care
Standard ED care and as-needed referral to alcohol resources
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Hvad måler undersøgelsen?
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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Mean weekly alcohol consumption
Tidsramme: Baseline, 3-, 6-, and 12-month follow-ups
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Participants report (1) the average number of days per week they consumed alcohol and (2) the typical number of standard drinks consumed on a drinking day.
Estimated weekly alcohol consumption will be calculated as: Mean weekly drinks = (average drinking days per week) × (typical drinks per drinking day)
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Baseline, 3-, 6-, and 12-month follow-ups
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Sekundære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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Number of heavy drinking days
Tidsramme: Baseline, 3-, 6-, and 12-month follow-ups
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Asking participants: "Over the past 30 days, how many days did you have 4+ standard drinks (women) / 5+ standard drinks (men)?"
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Baseline, 3-, 6-, and 12-month follow-ups
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Number of drinks per drinking day
Tidsramme: Baseline, 3-, 6-, and 12-month follow-ups
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Asking participants, "Over the past 30 days, on a typical drinking day, how many drinks did you have?"
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Baseline, 3-, 6-, and 12-month follow-ups
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Samarbejdspartnere og efterforskere
Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.
Sponsor
Samarbejdspartnere
Efterforskere
- Ledende efterforsker: Brian Suffoletto, MS MS, Stanford University
Publikationer og nyttige links
Den person, der er ansvarlig for at indtaste oplysninger om undersøgelsen, leverer frivilligt disse publikationer. Disse kan handle om alt relateret til undersøgelsen.
Generelle publikationer
- Suffoletto B, Prieksaitis C, Kim D, Rose C, Pitre V, Pillai N, Mandal M. AI counseling agent for motivational interviewing: Conversational processes associated with change talk in emergency department patients. J Subst Use Addict Treat. 2026 Jun 12:210053. doi: 10.1016/j.josat.2026.210053. Online ahead of print.
- Suffoletto B, Prieksaitis C, Rose C, Kim D, Pillai N, Pitre V. Feasibility and Acceptability of a Large Language Model-Based Motivational Interviewing Agent in the Emergency Department. Ann Emerg Med. 2026 Jan;87(1):121-123. doi: 10.1016/j.annemergmed.2025.08.021. Epub 2025 Oct 2. No abstract available.
Datoer for undersøgelser
Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.
Studer store datoer
Studiestart (Anslået)
1. august 2026
Primær færdiggørelse (Anslået)
1. august 2030
Studieafslutning (Anslået)
1. februar 2031
Datoer for studieregistrering
Først indsendt
16. juni 2026
Først indsendt, der opfyldte QC-kriterier
16. juni 2026
Først opslået (Faktiske)
22. juni 2026
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
22. juni 2026
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
16. juni 2026
Sidst verificeret
1. juni 2026
Mere information
Begreber relateret til denne undersøgelse
Nøgleord
Yderligere relevante MeSH-vilkår
Andre undersøgelses-id-numre
- 86953
Plan for individuelle deltagerdata (IPD)
Planlægger du at dele individuelle deltagerdata (IPD)?
JA
IPD-planbeskrivelse
All survey data from baseline through 12-month followups will be uploaded to the data repository (the National Institute on Alcohol Abuse and Alcoholism Data Archive (NIAAADA).
All counseling sessions and SMS data will be de-identified and kept in a separate repository.
IPD-delingstidsramme
Data will be available within 1 year of study completion and available indefinitely.
IPD-delingsadgangskriterier
Individuals with appropriate ethical approval and access to the NIAAADA or a DUA with the PI.
IPD-deling Understøttende informationstype
- STUDY_PROTOCOL
- SAP
- ANALYTIC_CODE
- CSR
Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter
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Disse oplysninger blev hentet direkte fra webstedet clinicaltrials.gov uden ændringer. Hvis du har nogen anmodninger om at ændre, fjerne eller opdatere dine undersøgelsesoplysninger, bedes du kontakte register@clinicaltrials.gov. Så snart en ændring er implementeret på clinicaltrials.gov, vil denne også blive opdateret automatisk på vores hjemmeside .