Digital Tools to Reduce Risky Drinking in the Emergency Department
This study is testing if digital tools can help people who visit the Emergency Department (ED) reduce their risky alcohol use. It involves two interventions: MICA, an AI chatbot that uses conversation to help you think about your drinking habits, and TRAC, which sends weekly text messages to help you set goals and track your progress. The study aims to see if these tools can lower the average amount of alcohol you drink each week. You might be able to join if you are between 18 and 65 years old, own a mobile phone, read English, and meet specific criteria for risky drinking. The study is currently recruiting 750 participants.
- Study design
- This is an interventional study with a planned enrollment of 750 participants. It is testing two behavioral interventions: MICA and TRAC.
- What's involved
- You would engage with the MICA AI chatbot and receive weekly SMS check-ins (TRAC) for 12 weeks. Your alcohol consumption will be measured at the start, and then at 3, 6, and 12 months.
- Compensation
- Not stated in the trial record.
- Follow-up
- Participants will be followed for 12 months after starting the study interventions.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Advancing Scalable Alcohol Brief Interventions in the ED: A Trial of Conversational AI With Digital Reinforcements
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Brian Suffoletto, MS MS · PRINCIPAL_INVESTIGATOR · Stanford University
Who to contact
This trial hasn't published a contact. View it on ClinicalTrials.gov
What this trial measures
- Mean weekly alcohol consumptionBaseline, 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)