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
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
Self-reported 6-month point prevalence cessation (yes/no) will be assessed at 6-month follow-up.
Time frame: 6-months post-randomization
Biochemical carbon monoxide (CO) verification testing will also be done for a small subset of participants, where 0-6 parts per million (PPM) measures a non-smoker and 7+ PPM indicates a current smoker.
Time frame: From randomization to 6-months post-randomization
Self-reported date of first quit attempt since starting the study will be assessed through text message response from participant during the 6-month intervention period.
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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