Tobacco Smoking Clinical Trial
— A2QOfficial title:
Adapt2Quit - A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged Smokers
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.
Status | Recruiting |
Enrollment | 750 |
Est. completion date | March 2025 |
Est. primary completion date | October 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 99 Years |
Eligibility | Inclusion Criteria: - Current smoker - Socioeconomically disadvantaged (SED) (using the following criteria: unemployed or underemployed, low income as defined by the federal poverty level guidelines, uninsured or underinsured, and/or have less than a high school education) - English-speaking - Active in care (at least two clinical visits in the last year) - Have a texting-enabled cell phone Exclusion Criteria: - Not a current smoker - Adults unable to consent - Individuals who are not yet adults (infants, children, teenagers) - Prisoners - Pregnant women - Pilot study participants |
Country | Name | City | State |
---|---|---|---|
United States | Johns Hopkins University | Baltimore | Maryland |
United States | Baystate Health | Springfield | Massachusetts |
United States | University of Massachusetts Medical School | Worcester | Massachusetts |
Lead Sponsor | Collaborator |
---|---|
University of Massachusetts, Worcester | Baystate Health, Johns Hopkins University, National Cancer Institute (NCI), National Institutes of Health (NIH) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Self-Reported Participant Tobacco Cessation Rate (quit rate) | Self-reported 6-month point prevalence cessation (yes/no) will be assessed at 6-month follow-up. | 6-months post-randomization | |
Primary | Biochemical Carbon Monoxide (CO) Verification of Tobacco Cessation | 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. | 6-months post-randomization | |
Secondary | Time to First Quit Attempt | 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. | From randomization to 6-months post-randomization |
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