Babes-Bolyai University
Cluj-Napoca, Cluj, 400301, Romania
Location status: Recruiting
NCT Number: NCT05337722
The objectives of this project are to develop, implement, and test the feasibility and effectiveness of an artificial intelligence adaptive mobile pregnancy tobacco cessation app-based intervention using deep tailoring and a self-nominated support person, and to build mHealth research capacity in Romania. The central hypothesis is that the intervention will show evidence of feasibility and effectiveness in increasing positive support, pregnancy cessation, and postnatal abstinence. The intervention is grounded in Self-Determination Theory (SDT) and Motivational Interviewing (MI), a counselling style that is effective in assisting people to quit smoking. The app will be novel in its use of the unique functionality of smartphones, use of reinforcement learning (RL) and deep tailoring to continuously adapt the intervention, the emphasis on increasing positive support, and the use of the app by both smoker and support person. The long-term goal of the research program is to use mHealth for smoking cessation leveraging the unique functionality of smartphones and to continue building mHealth research capacity and developing research networks in Central and Eastern Europe (CEE) and other LMICs.
Aim 1 (R21 phase). Develop and test the feasibility and acceptability of the SFT2.0 app-based mobile smoking cessation intervention with a support person during pregnancy and postpartum in Romania. Through a user-centered and iterative design the investigators will enhance the SFT1.0 app, deepen the tailoring, incorporate RL, expand the app for use by any support person, and test the intervention including the app and MI video counseling in a series of usability studies and a 12-week open trial (n=20).
Aim 2 (R33 phase). Test the SFT2.0 app-based smoking cessation intervention in a hybrid effectiveness and implementation randomized controlled trial. The investigators will randomize 375 pregnant smokers and their support persons to i) a fixed arm, including the SFT2.0 app for both, and fixed pre- and postnatal MI counseling; ii) an RL-adaptive arm, with the app continuously optimizing as-needed MI counseling; or iii) control group.
Aim 3 (R21 and R33 phases). Develop mHealth research capacity by enhancing individual and institutional research capabilities in Romania and expanding the existing international research network.
Interested in participating?
Request Info18 year and older
All sexes
Interventional
Not applicable
Cluj-Napoca, Cluj, 400301, Romania
Location status: Recruiting
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
-
The SFT 2.0 intervention will include the use of the SFT 2.0 smoking cessation app, Motivational Interviewing (MI) counseling, and the support of a peer person
Low dose prenatal and postnatal MI video counseling, defined as one prenatal session and one postnatal session
Time frame: 3 and 6 months after birth
7-day point biochemically verified prevalence of tobacco use
Time frame: 3 and 6 months after birth
Fewer than 5 cigarettes smoked since birth
Time frame: 1 month after birth
Proportion and representativeness (e.g., age, ethnicity) of dyads who enroll in each trial arm compared to each other and the general population of pregnant women in Romania
Time frame: 1 month after birth
Proportion of participants who enroll in SFT2.0 by recruitment strategy
Time frame: 1 month after birth
Participants frequency of overall SFT2.0 use and of the different app components
Time frame: 1 month after birth
quality of the user experience when interacting with SFT2.0 measured using the four constructs of the User Engagement Scale short form: focused attention (e.g., The time I spent using SFT just slipped away), perceived usability (e.g., I was frustrated while using SFT), aesthetic appeal (e.g., SFT was attractive), and rewarding (e.g., Using SFT was worthwhile). Each construct includes 3 items (score 3-15) and can be treated as subscales or as a summary score of user engagement (4-60). An overall engagement score can be calculated by adding all of the items together and dividing by twelve. Higher scores mean a better outcome.
Contact information is provided by the study sponsor or research team.
Cristian I Meghea, PhD
CONTACT
Oana M Blaga
CONTACT
Michigan State University
Other
A Smartphone Intervention for Pregnancy Smoking Cessation With Peer Support
Acronym: SFT
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