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Adapt2Quit - An Adaptive Motivational System for Socio-Economically Disadvantaged Smokers
Sponsor: University of Massachusetts, Worcester
Summary
The goal of this research is to test the Adapt2Quit computer program that uses participant input (message rating on how much the text motivational message might influence one to quit smoking) to select and text motivational messages that are more likely to help a user stop smoking. This Adapt2Quit system will be compared with a quitline facilitation-only control (text messages will be sent to facilitate quitline use). The primary research hypothesis is that the Adapt2Quit recommender-selected messages will be more effective than a texting quitline facilitation-only control for smoking cessation among socioeconomically disadvantaged (SED) smokers.
Official title: Adapt2Quit - A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged Smokers
Key Details
Gender
All
Age Range
18 Years - 99 Years
Study Type
INTERVENTIONAL
Enrollment
757
Start Date
2021-06-28
Completion Date
2025-03-31
Last Updated
2026-07-31
Healthy Volunteers
No
Conditions
Interventions
Adapt2Quit
Motivational text messages and quitline facilitation text messages will be sent to participants; these participants will receive Adapt2Quit (experimental) messages as well as quitline facilitation messages.
Control
Quitline facilitation text messages will be sent to participants; these participants will receive quitline facilitation-only messages.
Locations (3)
Johns Hopkins University
Baltimore, Maryland, United States
Baystate Health
Springfield, Massachusetts, United States
University of Massachusetts Medical School
Worcester, Massachusetts, United States