AI-Enhanced App-based Intervention for Adolescent E-cigarette Cessation

Conditions

• Nicotine Dependence, Cigarettes

Eligibility Criteria

Sex

ALL

Age

14 Years - 20 Years

Healthy Volunteers

Not accepted

Interventions

• AI-enhanced smartphone app — BEHAVIORAL
  A smartphone app has been developed and is in keeping with guideline recommendations for the treatment of e-cigarette products. This app has a user-friendly Graphic User Interface (GUI) to allow users to build their own accounts and individualized contents conveniently, based on the input the users initially provide including e-cigarette use patterns, readiness to quit e-cigarette, beliefs about e-cigarette, nicotine addiction, self-efficacy, other substance use status, and parental or peer e-cigarette use status. The proposed AI model in this app will learn information from the input data, including progress toward e-cigarette cessation (e,g, changes of readiness of quitting, quit attempts), and additional data including emotional status, stress level, feedback to the previous learning modules, and then predict the result on the fly. Based on the predicted result, the app will send in-time motivational messages and mindfulness training modules.
• AI-enhanced smartphone app, but with delayed access — BEHAVIORAL
  Participants in the control group will be placed on a three-month waitlist. After this period, they will receive access to the same app-based intervention as the immediate intervention group, allowing a comparison between immediate and delayed access.

Study Details

The goal of this quasi-experimental study is to test if a smartphone app can help adolescents aged 14-20 quit e-cigarettes. The main questions it aims to answer are: * Can the app help adolescents manage cravings and increase their readiness to quit? * Does the personalized and real-time support provided by the app improve their success in quitting e-cigarettes? Researchers will compare two groups: an immediate-intervention group that starts using the app right away and a delayed-intervention group that begins after three months, to see if the timing of app access influences outcomes in e-cigarette cessation. Participants will: * Set personal goals and track their daily progress within the app. * Use a real-time "urge" feature that provides immediate support during cravings. * Engage with a chatbot for quick answers and motivational support around quitting. This study aims to create an accessible, personalized tool to help adolescents reduce or quit e-cigarette use, exploring its feasibility as a broader intervention model.

Key Dates

Start date

Apr 1, 2026

Status verified

Feb 2026

Primary completion

Dec 31, 2027

Completion

Jun 30, 2028

Study Design

Enrollment

100 participants (estimated)

Allocation

RANDOMIZED

Intervention model

PARALLEL

Primary purpose

PREVENTION

Arms

• Experimental: Immediate-Intervention Group
  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.
• Active Comparator: Delayed-Intervention Group
  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.

Primary Outcome Measure

Usability [ Time Frame: 30-Day Follow-up ]

Central Contacts

• Eunhee Park, PhD, RN, APHN-BC
  716-829-3701
  [email protected]

Locations (1)

Find similar trials in Buffalo, NY

Related Studies

• Re-Connect Application for Smoking Cessation
  Recruiting · Rowan University · Glassboro, New Jersey
• Neurobehavioral Mechanisms Linking Childhood Adversity to Increased Risk for Smoking
  EARLY_PHASE1 · Recruiting · Duke University · Durham, North Carolina