- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07661563
Advancing Scalable Alcohol Brief Interventions in the ED: A Trial of Conversational AI With Digital Reinforcements (MICA-ED)
June 16, 2026 updated by: 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.
Study Overview
Status
Not yet recruiting
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Estimated)
750
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
California
-
Palo Alto, California, United States, 94304
- Stanford University Medical Center
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-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Description
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
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: 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.
|
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.).
|
|
Experimental: 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.
|
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.
|
|
No Intervention: Standard care
Standard ED care and as-needed referral to alcohol resources
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mean weekly alcohol consumption
Time Frame: Baseline, 3-, 6-, and 12-month follow-ups
|
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)
|
Baseline, 3-, 6-, and 12-month follow-ups
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of heavy drinking days
Time Frame: Baseline, 3-, 6-, and 12-month follow-ups
|
Asking participants: "Over the past 30 days, how many days did you have 4+ standard drinks (women) / 5+ standard drinks (men)?"
|
Baseline, 3-, 6-, and 12-month follow-ups
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Number of drinks per drinking day
Time Frame: Baseline, 3-, 6-, and 12-month follow-ups
|
Asking participants, "Over the past 30 days, on a typical drinking day, how many drinks did you have?"
|
Baseline, 3-, 6-, and 12-month follow-ups
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Brian Suffoletto, MS MS, Stanford University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- 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.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
August 1, 2026
Primary Completion (Estimated)
August 1, 2030
Study Completion (Estimated)
February 1, 2031
Study Registration Dates
First Submitted
June 16, 2026
First Submitted That Met QC Criteria
June 16, 2026
First Posted (Actual)
June 22, 2026
Study Record Updates
Last Update Posted (Actual)
June 22, 2026
Last Update Submitted That Met QC Criteria
June 16, 2026
Last Verified
June 1, 2026
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 86953
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Plan Description
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 Sharing Time Frame
Data will be available within 1 year of study completion and available indefinitely.
IPD Sharing Access Criteria
Individuals with appropriate ethical approval and access to the NIAAADA or a DUA with the PI.
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ANALYTIC_CODE
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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