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 Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
DOUBLE
Enrollment
750
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.
Stanford University Medical Center
Palo Alto, California, United States
Mean weekly alcohol consumption
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)
Time frame: Baseline, 3-, 6-, and 12-month follow-ups
Number of heavy drinking days
Asking participants: "Over the past 30 days, how many days did you have 4+ standard drinks (women) / 5+ standard drinks (men)?"
Time frame: Baseline, 3-, 6-, and 12-month follow-ups
Number of drinks per drinking day
Asking participants, "Over the past 30 days, on a typical drinking day, how many drinks did you have?"
Time frame: Baseline, 3-, 6-, and 12-month follow-ups
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.