Machine Learning for Smoking Cessation

Recruiting in Palo Alto (17 mi)

Overseen byEmily Hebert, DrPH

Age: 18+

Sex: Any

Travel: May Be Covered

Time Reimbursement: Varies

Trial Phase: Academic

Waitlist Available

Sponsor: The University of Texas Health Science Center, Houston

No Placebo Group

Trial Summary

What is the purpose of this trial?

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 lapse risk in real time.

Research Team

Emily Hebert, DrPH

Principal Investigator

The University of Texas Health Science Center, Houston

Eligibility Criteria

This trial is for individuals who want to quit smoking and are currently smoking more than 5 cigarettes a day. They should have no issues with using nicotine patches, be able to read at a basic level (REALM-SF score ≥4), and own an Android phone (version 5.2+) on which they can install the InsightTM mHealth app.

Inclusion Criteria

You are able to safely use 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.

a score greater than or equal to 4 on the Rapid Estimate of Adult Literacy in Medicine Short Form (REALM-SF),12

See 5 more

Exclusion Criteria

You smoke fewer than 5 cigarettes a day.

Treatment Details

Interventions

Adaptive Treatment (Behavioral Intervention)
Android Wear Smartwatch (Other)
Interviewing-based Counseling (Behavioral Intervention)
Nicotine Patch (Nicotine Replacement Therapy)

Trial OverviewThe study tests a personalized intervention that uses machine learning to predict when someone might lapse in their attempt to quit smoking. It includes interviewing-based counseling, nicotine patches, and monitoring through an Android Wear smartwatch.

Participant Groups

2Treatment groups

Experimental Treatment

Active Control

Group I: Adaptive Treatment plus usual careExperimental Treatment4 Interventions

Group II: Usual careActive Control3 Interventions