Clinical Trial Details
— Status: Withdrawn
Administrative data
NCT number |
NCT05625685 |
Other study ID # |
1P50MD017347-01 |
Secondary ID |
|
Status |
Withdrawn |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
October 2, 2023 |
Est. completion date |
November 30, 2023 |
Study information
Verified date |
May 2024 |
Source |
Meharry Medical College |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The goal of this clinical trial is to test a GPS (Global Positioning System)-enabled
smartphone app (QuitBuddy) in current smokers. The main questions it aims to answer are:
- Is Quitbuddy a good treatment for quitting smoking and "staying quit"?
- Will a second treatment that connects people to help for their social and financial
needs improve Quitbuddy?
Participants will:
- get nicotine lozenges in the mail
- check in with the study team to report on their quitting progress after 1 day, 1 week, 1
month, 2 months, 3 months, and 6 months
Researchers will compare Quitbuddy to an app made by the National Cancer Institute to see if
Quitbuddy is better for helping people stay quit.
Description:
Tobacco smoking is a primary preventable trans-diagnostic risk factor that if targeted more
effectively, could reduce a wide range of health disparities in prevalence, severity,
treatment efficacy, and mortality across many chronic health conditions (e.g., diabetes,
obstructive sleep apnea), reduce treatment complexity/multi-morbidity, and reduce healthcare
costs up to 80%. The Southeast, in particular, has an urgent need to disrupt the status quo
of tobacco control (<2% The Centers for Disease Control and Prevention (CDC) recommended
tobacco control appropriations; highest smoking and mortality) driven in large part through
neglected patterns of social determinants of health (SDoH; poverty, access to care) that
disproportionately impact racial and ethnic minorities in the form of greater smoking and
chronic disease rates, and ultimately nearly a decade of life lost. Unfortunately, only 5% of
smoking cessation attempts last at least one year, with lower success among Black smokers
even though they smoke at similar rates and intensity, and make more quit attempts.
Accordingly, mobile health (mHealth) may have particular utility in addressing racial
disparities.
Black smokers show high engagement rates with smartphones to access healthcare and greater
adherence to digital interventions, which may facilitate tailoring to meet distinct needs.
There is an urgent need to overcome equity gaps, which will require diversity and inclusion
of individuals from underrepresented races/ethnicities to identify effective treatments.
There is a need for just-in-time adaptive interventions (JITAIs) that 1) can be deployed
rapidly (ideally before craving occurs), 2) effectively prevent or attenuate cravings
quickly, and 3) are amenable to personalized treatment. Quitbuddy, the automated, yet
personalized, JITAI app developed by the investigators, allows patients to prepare for
high-risk situations before they arise, effectively promoting abstinence and preventing
relapse. The overall goals are to optimize smart algorithms, identify personalized relapse
risk, and automatically prompt NRT delivery in a real-time, preemptive manner, upon
approaching personalized high-risk locations. Results from a National Institute on Drug abuse
(NIDA)-funded (K23) pilot randomized controlled trial demonstrated outstanding usability (top
10% of over 500 apps), acceptability (>80% compliance), and technical feasibility (<10% GPS
data loss). The investigators will build upon these promising data by testing effectiveness
in a fully powered and rigorous SMART design with diverse representation of underserved
populations and meeting community needs for SDoH interventions.
Specific Aims
Aims 1 & 2: Evaluate QuitBuddy and SDoH augmentation intervention effectiveness for smoking
cessation and relapse prevention via pragmatic remote SMART design (N=2,090).
Expected Outcome: Superior 6-month biochemically verified abstinence rates for the QuitBuddy
and SDoH augmentation interventions, relative to controls.
Exploratory Aims: Test potential moderators/mediators of the effectiveness of the
interventions.
This approach integrates for the first time established theories of relapse risk,
evidence-based treatment, smartphone/GPS technology, and SDoH. This project offers
high-impact solutions to address health disparities across a wide range of chronic diseases
that disproportionately affect under-served populations.