Promoting Smoking Cessation in the Community Via "Quit to Win" Contest 2026: Engagement-Focused GenAI-based Chatbot for Real-Time Smoking Cessation Support (QTW2026)
2026년 6월 9일 업데이트: Prof. Wang Man-Ping, The University of Hong Kong
Building Capacity and Promoting Smoking Cessation in the Community Via "Quit to Win" Contest 2026: Real-time Smoking Cessation Instant Messaging Support Using a Engagement-Focused Large Language Model (LLM)-Based Chatbot
The goal of this trial is to learn if chatbot-based instant messaging works to help smoking cessation in general adult smokers. It will also learn about the experience, attitude, and perception of using an LLM-based chatbot. The main questions it aims to answer are:
- Will an engagement-focused LLM-based chatbot smoking cessation intervention have a non-inferior validated abstinence rate than the control group?
- Will an LLM-based chatbot smoking cessation intervention have a non-inferior self-reported abstinence rate, smoking reduction rate, and smoking cessation services use rate than the control group?
Researchers will compare an LLM-based chatbot smoking-cessation intervention to a human-led instant messaging support group (brief advice based on AWARD and personalised active referral) to determine whether chatbot-based instant messaging support promotes smoking cessation.
Participants in the intervention group will receive:
- AWARD advice
- Personalised active referral
- 12 weeks of chatbot-based instant messaging support (via WhatsApp)
연구 개요
상태
아직 모집하지 않음
정황
상세 설명
Although smoking prevalence in Hong Kong has declined to 9.1% in 2023, achieving the government's target of 7.8% by 2025 remains a major public health challenge.
Unassisted "cold turkey" quitting has a long-term success rate of less than 5%, whereas evidence-based behavioural and pharmacological interventions can raise success rates to approximately 20% or higher.
However, existing cessation services in Hong Kong face a critical utilisation gap: only 17.5% of smokers have engaged with professional services, and merely 23% have used nicotine replacement therapy.
This underutilisation suggests that traditional human-resource-intensive models may lack accessibility, scalability, and local appeal.
Generative AI, particularly large language models, offers a transformative solution by delivering consistent, scalable, and personalised support.
In the 2025 "Quit to Win" round, we integrated an LLM-based chatbot via WhatsApp and received positive qualitative feedback.
Yet quantitative analysis revealed a sharp engagement decline, with weekly participation dropping from 32% in week 1 to 14% by week 12, indicating that conversational ability alone does not guarantee sustained user commitment.
To address this implementation gap, we have developed an engagement-focused GenAI companion that incorporates structured onboarding, context-aware personalisation, multimodal (text/audio) input, empathetic support, habit-aligned reminders, localised humour, and gamified features such as success stories and knowledge quizzes.
Therefore, our study aims to test, via a two-arm non-inferiority randomised controlled trial, the effectiveness of a comprehensive intervention combining brief cessation advice (AWARD), personalised active referral, and this engagement-enhanced GenAI chatbot support compared with human-led instant messaging counselling among current smokers who join the Quit to Win Contest across all 18 districts of Hong Kong.
연구 유형
중재적
등록 (추정된)
998
단계
- 해당 없음
연락처 및 위치
이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.
연구 연락처
- 이름: Man Ping Wang, PhD
- 전화번호: +852 3917 6636
- 이메일: mpwang@hku.hk
연구 연락처 백업
- 이름: Yilan Wu
- 전화번호: +852 56497578
- 이메일: visspalan@connect.hku.hk
연구 장소
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Hong Kong
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Hong Kong, Hong Kong, 홍콩, 999077
- Hong Kong Council on Smoking and Health (COSH)
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연락하다:
- Man Ping Wang, PhD
- 전화번호: +852 3917 6636
- 이메일: mpwang@hku.hk
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부수사관:
- Shengzhi Zhao, PhD
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부수사관:
- Xiaoyun Xie, MPH
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부수사관:
- Mengyao Li, Mphil
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연락하다:
- Yilan Wu
- 전화번호: +852 56497578
- 이메일: visspalan@connect.hku.hk
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수석 연구원:
- Man Ping Wang
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부수사관:
- Ziqiu Guo, PhD
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부수사관:
- Yilan Wu, MGH
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참여기준
연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.
자격 기준
공부할 수 있는 나이
- 성인
- 고령자
건강한 자원 봉사자를 받아들입니다
아니
설명
Inclusion Criteria:
- Hong Kong residents aged 18 years or above
- Smoke at least one cigarette (including heated tobacco products) per day or use an e-cigarette daily in the preceding 3 months
- Able to communicate in Cantonese (including reading and writing Chinese)
- Saliva cotinine level ≥30 ng/mL
- Intention to quit or reduce smoking
- Have WhatsApp installed
- Able to use WhatsApp for communication
Exclusion Criteria:
Currently participating in other smoking cessation programmes or using any smoking cessation drug
공부 계획
이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 건강 서비스 연구
- 할당: 무작위
- 중재 모델: 병렬 할당
- 마스킹: 하나의
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
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실험적: 개입 그룹
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후속 설문 조사 알림의 WhatsApp 메시지.
A brief (30-60 seconds) face-to-face or remote smoking cessation advice delivered using the validated AWARD model: Ask about smoking history; Warn about high health risks (accompanied by a health warning leaflet); Advise quitting as soon as possible and setting a quit date (to qualify for contest prizes); Refer to smoking cessation services using a referral card; Do it again - repeat the intervention at each follow-up, encouraging re-quitting after relapse or relapse prevention after success.
A two-sided, colour-printed A4 leaflet covering: (1) absolute risk of death from smoking; (2) full list of diseases caused by active and second-hand smoking; (3) ten pictorial warnings of health consequences on one page for maximum impact; (4) benefits of smoking cessation; and (5) simple encouraging messages to quit.
A three-folded card containing brief information and highlights of existing smoking cessation services in Hong Kong, contact methods, motivational messages, and strong supporting slogans.
A generic booklet provided covering: benefits of quitting, smoking-related diseases, methods to quit, how to handle withdrawal symptoms, a quitting declaration, and other practical tips.
Smokers will be introduced to various SC services in Hong Kong (via the referral card) and motivated to use them.
Well-trained SC ambassadors will assist smokers in choosing their favourite or most convenient type of service.
Research staff will assist participants in booking or re-booking the SC services at the 1- and 2-month follow-ups (after very brief questionnaire surveys).
Participants' contact information will be forwarded to SC service providers within 7 days, and providers are expected to contact participants within 1-2 weeks.
Research staff will also monitor participants' use of SC services at each follow-up (1-, 2-, 3-, and 6-month) and assist participants in booking or rebooking appointments if necessary at the 1- and 2-month follow-ups.
We shall liaise with the existing service providers and seek their assistance in supporting our smokers in a timely manner.
Participants in the intervention group will receive 12 weeks of instant messaging support delivered by an LLM-based chatbot (GPT-4o or newer) on WhatsApp, supporting text and audio input.
Using prompt engineering, agent techniques, and Retrieval-Augmented Generation, the chatbot delivers theory-based 5As/5Rs-structured interventions alongside freeform, on-demand support, with engagement features including personalisation, proactive check-ins, and interactive Quick Commands.
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활성 비교기: 대조군
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후속 설문 조사 알림의 WhatsApp 메시지.
A brief (30-60 seconds) face-to-face or remote smoking cessation advice delivered using the validated AWARD model: Ask about smoking history; Warn about high health risks (accompanied by a health warning leaflet); Advise quitting as soon as possible and setting a quit date (to qualify for contest prizes); Refer to smoking cessation services using a referral card; Do it again - repeat the intervention at each follow-up, encouraging re-quitting after relapse or relapse prevention after success.
A two-sided, colour-printed A4 leaflet covering: (1) absolute risk of death from smoking; (2) full list of diseases caused by active and second-hand smoking; (3) ten pictorial warnings of health consequences on one page for maximum impact; (4) benefits of smoking cessation; and (5) simple encouraging messages to quit.
A three-folded card containing brief information and highlights of existing smoking cessation services in Hong Kong, contact methods, motivational messages, and strong supporting slogans.
A generic booklet provided covering: benefits of quitting, smoking-related diseases, methods to quit, how to handle withdrawal symptoms, a quitting declaration, and other practical tips.
Smokers will be introduced to various SC services in Hong Kong (via the referral card) and motivated to use them.
Well-trained SC ambassadors will assist smokers in choosing their favourite or most convenient type of service.
Research staff will assist participants in booking or re-booking the SC services at the 1- and 2-month follow-ups (after very brief questionnaire surveys).
Participants' contact information will be forwarded to SC service providers within 7 days, and providers are expected to contact participants within 1-2 weeks.
Research staff will also monitor participants' use of SC services at each follow-up (1-, 2-, 3-, and 6-month) and assist participants in booking or rebooking appointments if necessary at the 1- and 2-month follow-ups.
We shall liaise with the existing service providers and seek their assistance in supporting our smokers in a timely manner.
Participants in the control group will receive 12 weeks of instant messaging support delivered by a trained human counsellor via WhatsApp.
Using the same theoretical frameworks as the chatbot intervention, the counsellor will provide real-time behavioural and psychosocial support grounded in the 5As/5Rs models, Motivational Interviewing (MI), and evidence-based Behaviour Change Techniques (BCTs).
The support will be personalised according to each participant's sociodemographic characteristics, smoking patterns, quit intentions, and plans.
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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생화학적으로 검증된 금욕
기간: 6개월 추적
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호기 CO 수준 <4ppm 및 타액 코티닌 수준 ≤30ng/ml로 정의
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6개월 추적
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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
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생화학적으로 검증된 금욕
기간: 3개월 추적
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호기 CO 수준 <4ppm 및 타액 코티닌 수준 ≤30ng/ml로 정의
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3개월 추적
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자체보고 된 7 일 포인트 유병률 금욕
기간: 3 개월 및 6 개월 후속 조치
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후속 조치 전 7 일 동안 퍼프를 피우지 않은 흡연자
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3 개월 및 6 개월 후속 조치
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자체보고 감소
기간: 1-, 2-, 3- 및 6 개월 후속 조치
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기준선 일일 담배 수의 50% 이상 감소로 정의
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1-, 2-, 3- 및 6 개월 후속 조치
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흡연 중단 서비스의 자체보고 된 사용
기간: 1-, 2-, 3- 및 6 개월 후속 조치
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1-, 2-, 3 개 및 6 개월 후속 조치에서 금연 서비스 사용.
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1-, 2-, 3- 및 6 개월 후속 조치
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Prolonged abstinence
기간: 3-month and 6-month follow-ups
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Abstinence from smoking for 3 consecutive months at 3-month follow-up, or for 6 consecutive months at 6-month follow-up
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3-month and 6-month follow-ups
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Quit attempt
기간: 1-, 2-, 3-, and 6-month follow-ups
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Abstinence for at least 24 hours
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1-, 2-, 3-, and 6-month follow-ups
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Post-cessation weight change
기간: 6-month follow-up
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Self-reported change in body weight (in kilograms) from baseline to follow-up
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6-month follow-up
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Self-reported mental health conditions
기간: Baseline and 6-month follow-up
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Patient Health Questionnaire-4 (PHQ-4)
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Baseline and 6-month follow-up
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Self-reported smoking-related health conditions
기간: Baseline and 6-month follow-up
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Answer "Yes" to experiencing any smoking-related health condition during smoking cessation or reduction
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Baseline and 6-month follow-up
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Chatbot user experience
기간: 3-month follow-up
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Chatbot Usability Scale
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3-month follow-up
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공동 작업자 및 조사자
여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.
수사관
- 수석 연구원: Man Ping Wang, The University of Hong Kong
연구 기록 날짜
이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.
연구 주요 날짜
연구 시작 (추정된)
2026년 6월 20일
기본 완료 (추정된)
2027년 6월 30일
연구 완료 (추정된)
2028년 6월 30일
연구 등록 날짜
최초 제출
2026년 6월 9일
QC 기준을 충족하는 최초 제출
2026년 6월 9일
처음 게시됨 (실제)
2026년 6월 15일
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
2026년 6월 15일
QC 기준을 충족하는 마지막 업데이트 제출
2026년 6월 9일
마지막으로 확인됨
2026년 6월 1일
추가 정보
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .
알림 메시지에 대한 임상 시험
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German Center for Neurodegenerative Diseases (DZNE)Principal Investigator: PD Dr. Olga Klimecki-Lenz완전한