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Adapt2Quit - An Adaptive Motivational System for Socio-Economically Disadvantaged Smokers — A2Q  

Tobacco Smoking Clinical Trial

Official title:
Adapt2Quit - A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged Smokers

Clinical Trial 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.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04720625
Study type Interventional
Source University of Massachusetts, Worcester
Contact Reem M Najjar
Phone 774-275-0890
Email Reem.Najjar@umassmed.edu
Status Recruiting
Phase N/A
Start date June 28, 2021
Completion date March 2025
View Details
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