Status:
COMPLETED
Using Machine Learning to Develop Just-in-Time Adaptive Interventions for Smoking Cessation
Lead Sponsor:
The University of Texas Health Science Center, Houston
Collaborating Sponsors:
National Institute on Drug Abuse (NIDA)
Conditions:
Smoking Cessation
Eligibility:
All Genders
18+ years
Phase:
NA
Brief Summary
The purpose of this study is to evaluate the feasibility and preliminary effectiveness of delivering a personalized, just-in-time adaptive intervention driven by machine learning prediction of smoking...
Eligibility Criteria
Inclusion
- a score greater than or equal to 4 on the Rapid Estimate of Adult Literacy in Medicine Short Form (REALM-SF),12
- willingness to quit smoking 14 days after the baseline visit
- no contraindications to using Nicotine replacement therapy (NRT).
- If participants would like to use their own phone to complete the EMAs, they must additionally have an Android smartphone (Android 5.2 or higher), and be willing to install the InsightTM mHealth app on their phone.
Exclusion
- currently smoking less than 5 cigarettes per day
Key Trial Info
Start Date :
February 6 2024
Trial Type :
INTERVENTIONAL
Allocation :
ACTUAL
End Date :
November 22 2024
Estimated Enrollment :
60 Patients enrolled
Trial Details
Trial ID
NCT04839198
Start Date
February 6 2024
End Date
November 22 2024
Last Update
March 28 2025
Active Locations (1)
Enter a location and click search to find clinical trials sorted by distance.
1
The University of Texas Health Science Center at Houston
Houston, Texas, United States, 77030