Adapt2Quit
BehavioralMotivational 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.
NCT Number: NCT04720625
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.
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Notify Me18 year–99 year
All sexes
Interventional
Not applicable
Johns Hopkins University, Baltimore, Maryland, United States
The Adapt2Quit trial (NCT04720625) is a randomized controlled trial testing a machine-learning-driven text messaging system aimed at increasing smoking cessation rates among socioeconomically disadvantaged adults.
The 6-month study compares an adaptive, personalized motivational messaging intervention against standard Quitline facilitation, utilizing AI to select tailored behavioral prompts based on user feedback.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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.
Quitline facilitation text messages will be sent to participants; these participants will receive quitline facilitation-only messages.
Time frame: 6-months post-randomization
Participants who self-reported no tobacco use in the past 7 days at the 6-month follow-up underwent biochemical verification using the CoVita Smokerlyzer breath carbon monoxide (CO) monitor. Participants with a CO measurement of ≤6 ppm were classified as abstinent; those with a CO measurement of >6 ppm were classified as tobacco users.
Time frame: 6-months post-randomization
Self-reported cigarette abstinence was assessed at the 6-month follow-up using the question: "Do you currently smoke cigarettes, even one puff in the last 7 days?" Participants who answered "No" were classified as self-reported abstinent.
University of Massachusetts, Worcester
Other
Adapt2Quit - A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged Smokers
Acronym: A2Q
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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