AI-powered Chatbot vs. Human Counselors in Smoking Cessation
- Conditions
- Smoking CessationMobile Health
- Registration Number
- NCT06570070
- Lead Sponsor
- Beijing Normal University
- Brief Summary
This study aims to explore the feasibility and preliminary effectiveness of AI-powered chatbot support in community smokers.
- Detailed Description
Smoking cessation remains one of the most significant public health challenges worldwide, with tobacco use being a leading cause of preventable death and disease. Despite extensive efforts, the success rates of smoking cessation programs remain low, necessitating innovative approaches to support individuals in their journey to quit smoking. Recently, artificial intelligence (AI) has opened new possibilities in healthcare, including the development of AI-powered chatbots that assist individuals in behavior change, such as quitting smoking.
This randomized controlled trial aims to investigate the effectiveness of AI-powered chatbot that simulates human counselors, compared to traditional human counseling in promoting smoking cessation among community smokers. The AI-powered chatbot, equipped with personalized interactions and real-time support, offers scalable and cost-effective assistance, potentially making it an accessible alternative to human counseling. However, human counselors provide empathy, tailored advice, and a nuanced understanding of human behavior that AI may not fully replicate. This study will explore which approach is more effective in helping individuals achieve long-term smoking cessation.
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 300
- aged 18 and above, reside in Zhuhai for the next 6 months;
- smoke at least 1 cigarette or use e-cigarettes daily;
- Having a smartphone and a WeChat account, being able to use WeChat skillfully.
- Smokers who have communication barrier (either physically or cognitively);
- Smokers who are currently participating in other SC programmes or services
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Primary Outcome Measures
Name Time Method Biochemical validated quit rate at 6 months follow-up 6 months follow-up The primary outcomes are biochemically validated quit rate (exhaled carbon monoxide \< 4 ppm or salivary cotinine \< 30 ng/ml)
- Secondary Outcome Measures
Name Time Method Self-reported 7-day point prevalence quit rate 3 and 6 months follow-up Self-reported 7-day point prevalence quit rate in the two groups
Biochemical validated quit rate at 3 months follow-up 3 months follow-up biochemically validated quit rate (exhaled carbon monoxide \< 4 ppm or salivary cotinine \< 30 ng/ml)
Consent rate baseline the percentage of eligible smokers who agree to participate out of the total number of eligible smokers
Smoking reduction rate 3 and 6 months follow-up Rate of smoking reduction by at least half of baseline amount in the two groups
Eligibility rate baseline the percentage of eligible smokers out of the total number of smokers screened
Percentage of Participant Engagement with E-Messages and Counselor Chats 3 months follow-up This outcome measures the percentage of participants who engage with the intervention by reading e-messages and responding to counselor chat messages at least once during the 3-month follow-up period.
Trial Locations
- Locations (1)
Beijing Normal University
🇨🇳Zhuhai, Guangdong, China
Beijing Normal University🇨🇳Zhuhai, Guangdong, ChinaXue WengContactxueweng@bnu.edu.cn