Adapt2Quit - An Adaptive Motivational System for Socio-Economically Disadvantaged Smokers
NCT ID: NCT04720625
Last Updated: 2025-05-01
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
757 participants
INTERVENTIONAL
2021-06-28
2025-03-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
TRIPLE
Study Groups
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Adapt2Quit
These participants will receive Adapt2Quit motivational messaging and quitline facilitation messaging for 6 months.
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
These participants will receive quitline facilitation-only messaging for 6 months.
Control
Quitline facilitation text messages will be sent to participants; these participants will receive quitline facilitation-only messages.
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
* 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
* Adults unable to consent
* Individuals who are not yet adults (infants, children, teenagers)
* Prisoners
* Pregnant women
* Pilot study participants
18 Years
99 Years
ALL
No
Sponsors
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National Institutes of Health (NIH)
NIH
National Cancer Institute (NCI)
NIH
Johns Hopkins University
OTHER
Baystate Health
OTHER
University of Massachusetts, Worcester
OTHER
Responsible Party
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Rajani Sadasivam
Associate Professor
Principal Investigators
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Rajani Sadasivam, PhD
Role: PRINCIPAL_INVESTIGATOR
Associate Professor
Locations
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Johns Hopkins University
Baltimore, Maryland, United States
Baystate Health
Springfield, Massachusetts, United States
University of Massachusetts Medical School
Worcester, Massachusetts, United States
Countries
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References
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Kamberi A, Weitz B, Flahive J, Eve J, Najjar R, Liaghat T, Ford D, Lindenauer P, Person S, Houston TK, Gauvey-Kern ME, Lobien J, Sadasivam RS. Testing a Machine Learning-Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2025 Apr 16;14:e63693. doi: 10.2196/63693.
Other Identifiers
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H00018991
Identifier Type: -
Identifier Source: org_study_id
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