Skip to content

Advancing Scalable Alcohol Brief Interventions in the ED: A Trial of Conversational AI With Digital Reinforcements

A Randomized Trial of an AI Intervention to Help Individuals With Risky Alcohol Use Among Emergency Department Patients

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07661563
Acronym
MICA-ED
Enrollment
750
Registered
2026-06-22
Start date
2026-08-01
Completion date
2031-02-01
Last updated
2026-06-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Alcohol Misuse

Keywords

alcohol, emergency department, adults, AI, motivational interviewing, text messaging

Brief summary

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.

Interventions

BEHAVIORALMICA

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.).

BEHAVIORALTRAC

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.

Sponsors

Stanford University
Lead SponsorOTHER
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
CollaboratorNIH

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
DOUBLE (Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
No

Inclusion criteria

1. For men: 1+ days with 5 or more drinks OR any week with 14+ drinks/week in the past 3 months 2. For women: 1+ days with 4 or more drinks OR any week with 7+ drinks/week in the past 3 months 3. Owns a mobile phone 4. Reads English language

Exclusion criteria

1. For women: current or planned pregnancy in next 12 months 2. Prisoner or active military status

Design outcomes

Primary

MeasureTime frameDescription
Mean weekly alcohol consumptionBaseline, 3-, 6-, and 12-month follow-upsParticipants 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)

Secondary

MeasureTime frameDescription
Number of heavy drinking daysBaseline, 3-, 6-, and 12-month follow-upsAsking participants: "Over the past 30 days, how many days did you have 4+ standard drinks (women) / 5+ standard drinks (men)?"
Number of drinks per drinking dayBaseline, 3-, 6-, and 12-month follow-upsAsking participants, "Over the past 30 days, on a typical drinking day, how many drinks did you have?"

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORBrian Suffoletto, MS MS

Stanford University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 23, 2026