AI-Enhanced App for Nicotine Addiction

Overseen By Eunhee Park, PhD, RN, APHN-BC

Age: < 65

Sex: Any

Trial Phase: Academic

Sponsor: State University of New York at Buffalo

Disqualifiers: Age, No e-cigarette use, others

No Placebo Group All trial participants will receive the active study treatment (no placebo)

Compensation: Varies

Number of Visits: Unknown

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial tests a smartphone app designed to help young people quit using e-cigarettes. The app provides tools to manage cravings, set personal goals, and interact with a chatbot for motivation. Researchers aim to determine if immediate use of the app is more effective than starting it three months later. Teens and young adults aged 14-20 who have used e-cigarettes in the past month and own a smartphone may be suitable participants. The study seeks to make quitting more accessible and effective for those ready to stop. As an unphased trial, this study offers a unique opportunity to contribute to innovative research that could simplify quitting e-cigarettes for many young people.

Do I have to stop taking my current medications to join the trial?

The trial information does not specify whether you need to stop taking your current medications. It focuses on using a smartphone app to help quit e-cigarettes.

What prior data suggests that this app is safe for adolescents?

Research has shown that using AI tools, like the app in this study, is generally safe. These tools have helped people quit smoking by tracking habits and providing personalized advice. A similar app with a chatbot that assisted users in quitting smoking showed good results without major safety issues.

AI-powered apps are designed to meet users' needs, offering real-time help such as answering questions and providing motivation. This makes them a low-risk choice for those trying to quit e-cigarettes. Other studies have shown that digital tools, like text message programs, have also helped teens quit without significant problems.

Overall, the app in this trial is expected to be safe for participants, using proven methods to help people quit e-cigarettes. ^{1 2 3 4 5}

Why are researchers excited about this trial?

Researchers are excited about the AI-Enhanced App for Nicotine Addiction because it offers a novel, tech-driven approach to helping adolescents quit e-cigarettes. Unlike traditional methods like nicotine replacement therapy or counseling, this treatment uses artificial intelligence to provide personalized support and feedback through a smartphone app. The app's immediate accessibility and tailored interventions make it a promising tool to engage young users who are tech-savvy. By comparing different timing strategies for using the app, researchers hope to uncover the optimal approach for maximizing quitting success.

What evidence suggests that this app is effective for quitting e-cigarettes?

Research shows that smartphone apps can help people quit smoking by offering real-time support and tracking progress. One study found that these apps led to more successful quitting. In this trial, participants will use an AI-enhanced app designed to help teenagers stop using e-cigarettes by managing cravings and boosting motivation to quit. Early evidence suggests that personalized, real-time support can improve quitting success. Participants in the immediate-intervention group will start using the app right after enrollment, while those in the delayed-intervention group will begin three months later, allowing for a comparison of the impact of timing on quitting success. ^{1 6 7 8 9}

Are You a Good Fit for This Trial?

This trial is for adolescents aged 14-20 who are trying to quit e-cigarettes. Participants should be willing to use a smartphone app and engage with its features, like setting goals and tracking progress. There's no mention of specific exclusions in the provided information.

Inclusion Criteria

Currently use nicotine-containing e-cigarettes

I want to quit using e-cigarettes.

Owners of an iPhone or Android smartphone who use their phone daily

Exclusion Criteria

Those who have not used a nicotine-containing e-cigarette in the past 30 days

Adolescents who do not own or regularly use an iPhone or Android smartphone

Non-English speakers

Timeline for a Trial Participant

Development and Usability Testing

Participants test the app and provide feedback on usability and design to refine the app for deployment.

Not specified

Clinical Feasibility Testing

Participants use the app to assess its impact on readiness to quit, quitting attempts, and motivation over time.

3 months

Follow-up

Participants are monitored for engagement and changes in e-cigarette use, including readiness to quit and quit attempts.

3 months

What Are the Treatments Tested in This Trial?

Interventions

• AI-Enhanced App-based Intervention

Trial Overview The study tests an AI-enhanced smartphone app designed to help young people stop using e-cigarettes. It compares immediate access to the app against delayed access after three months, examining if timing affects quitting success.

How Is the Trial Designed?

Group I: Immediate-Intervention Group Experimental Treatment 1 Intervention

Participants in this arm will begin using the AI-enhanced smartphone app immediately after enrollment. This arm serves to assess the initial impact and feasibility of the app as a tool for e-cigarette cessation among adolescents.

Group II: Delayed-Intervention Group Active Control 1 Intervention

Participants in this arm will wait three months after enrollment before using the AI-enhanced smartphone app. This arm serves as a delayed control, allowing comparison with the immediate-intervention group to understand the impact of timing on quitting success.

Who Is Running the Clinical Trial?

State University of New York at Buffalo

Lead Sponsor

Trials

279

Recruited

52,600+

Advanced Bionics

Industry Sponsor

Trials

17

Recruited

500+

National Cancer Institute (NCI)

Collaborator

Trials

14,080

Recruited

41,180,000+

Citations

1. clinicaltrials.gov clinicaltrials.gov/study/NCT06965296

AI-Enhanced App-based Intervention for Adolescent E ... This approach will help determine if earlier access to the intervention leads to improved outcomes in terms of e-cigarette cessation. The study will assess how ...

2. maps.cancer.gov maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=10952623&term=CA287720

Division of Cancer Control & Population Sciences - Grant Details This study is aimed at creating a scalable e-cigarette use cessation intervention using a smartphone application (app), which can be delivered to a large pool ...

3. centerwatch.com centerwatch.com/clinical-trials/listings/NCT06965296/ai-enhanced-app-based-intervention-for-adolescent-e-cigarette-cessation?phase=3&id=904&slug=tobacco-use-disorder

AI-Enhanced App-based Intervention for Adolescent E ... The goal of this quasi-experimental study is to test if a smartphone app can help adolescents aged 14-20 quit e-cigarettes.

4. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov/articles/PMC10160935/

The Effectiveness of Smartphone App–Based Interventions ... The outcome was the smoking abstinence rate, reported as either a 7-day point prevalence abstinence rate or a continuous abstinence rate, assessed at least 3 ...

5. nursing.buffalo.edu nursing.buffalo.edu/research/research-opportunities-for-students.host.html/content/shared/university/news/ub-reporter-articles/stories/2024/09/park-e-cigarette-app.detail.html

Nursing researcher to study e-cigarette cessation in adolescents “Over the long term, the findings of this study will contribute useful information for those testing the effectiveness of smartphone app-based ...

6. nejm.org nejm.org/doi/full/10.1056/NEJMp2500683

The Contribution of Digital Treatment to Efforts to Reduce ... The World Health Organization's 2024 tobacco clinical treatment guideline lists conducting research on cessation apps and on AI-based ...

7. sciencedirect.com sciencedirect.com/science/article/pii/S1386505625002047

Artificial intelligence in tobacco control: A systematic ... AI-driven tools, including machine learning and natural language processing, effectively monitor social media for emerging tobacco trends and personalize ...

8. jamanetwork.com jamanetwork.com/journals/jama/fullarticle/2822082

A Vaping Cessation Text Message Program for Adolescent ... A tailored, interactive text message intervention increased self-reported vaping cessation rates among adolescents recruited via social media channels.

9. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov/articles/PMC10623979/

Conversational artificial intelligence interventions to support ... Conversational AI interventions included chatbots embedded in a multicomponent smoking cessation app, a chatbot smoking cessation app ...