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AI-powered Chatbot vs. Human Counselors in Smoking Cessation

Effectiveness of Artificial Intelligence (AI)-Powered Chatbot vs. Human Counselors in Smoking Cessation

Status
Not yet recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06570070
Enrollment
300
Registered
2024-08-26
Start date
2024-09-01
Completion date
2025-12-30
Last updated
2024-08-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Smoking Cessation, Mobile Health

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.

Interventions

5A's (Ask, Advise, Assess, Assist, Arrange) for smokers who are ready to quit, and 5R's (relevance, risks, rewards, roadblocks, and repetition) for smokers who are not ready to quit.

The contents of the leaflet include the absolute risk of smoking, diseases caused by active and second-hand smoking, horrible pictorial warnings of the health consequences of active and second-hand smoking, and the benefits of quitting.

The contents include information about the benefits of quitting, methods to quit, how to handle withdrawal symptoms, misperceptions of quitting, etc.

Participants will receive three months of AI-powered chatbot, equipped with personalized interactions and real-time support, via WeChat.

BEHAVIORALCounselor individual support

Participants will receive three months of counselor-led individual support via WeChat. The regular messages and instant messaging on psychosocial support aim to provide cessation advice, increase self-efficacy and confidence, and social support and behavioral capacity of quitting.

Sponsors

Beijing Normal University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. aged 18 and above, reside in Zhuhai for the next 6 months; 2. smoke at least 1 cigarette or use e-cigarettes daily; 3. Having a smartphone and a WeChat account, being able to use WeChat skillfully.

Exclusion criteria

1. Smokers who have communication barrier (either physically or cognitively); 2. Smokers who are currently participating in other SC programmes or services

Design outcomes

Primary

MeasureTime frameDescription
Biochemical validated quit rate at 6 months follow-up6 months follow-upThe primary outcomes are biochemically validated quit rate (exhaled carbon monoxide \< 4 ppm or salivary cotinine \< 30 ng/ml)

Secondary

MeasureTime frameDescription
Self-reported 7-day point prevalence quit rate3 and 6 months follow-upSelf-reported 7-day point prevalence quit rate in the two groups
Smoking reduction rate3 and 6 months follow-upRate of smoking reduction by at least half of baseline amount in the two groups
Biochemical validated quit rate at 3 months follow-up3 months follow-upbiochemically validated quit rate (exhaled carbon monoxide \< 4 ppm or salivary cotinine \< 30 ng/ml)
Consent ratebaselinethe percentage of eligible smokers who agree to participate out of the total number of eligible smokers
Percentage of Participant Engagement with E-Messages and Counselor Chats3 months follow-upThis 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.
Eligibility ratebaselinethe percentage of eligible smokers out of the total number of smokers screened

Countries

China

Contacts

Primary ContactXue Weng
xueweng@bnu.edu.cn3621259

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026