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Promoting Smoking Cessation in the Community Via "Quit to Win" Contest 2026: Engagement-Focused GenAI-based Chatbot for Real-Time Smoking Cessation Support (QTW2026)

26 juni 2026 bijgewerkt door: 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:

  1. Will an engagement-focused LLM-based chatbot smoking cessation intervention have a non-inferior validated abstinence rate than the control group?
  2. 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:

  1. AWARD advice
  2. Personalised active referral
  3. 12 weeks of chatbot-based instant messaging support (via WhatsApp)

Studie Overzicht

Toestand

Nog niet aan het werven

Conditie

Interventie / Behandeling

Gedetailleerde beschrijving

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, investigators integrated an LLM-based chatbot via WhatsApp and received positive qualitative feedback. Yet quantitative analysis revealed a sharp decline in engagement, 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, investigators 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, the current 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.

Studietype

Ingrijpend

Inschrijving (Geschat)

998

Fase

  • Niet toepasbaar

Contacten en locaties

In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.

Studiecontact

  • Naam: Man Ping Wang, PhD
  • Telefoonnummer: +852 3917 6636
  • E-mail: mpwang@hku.hk

Studie Contact Back-up

Studie Locaties

  • Hongkong
    • Hong Kong
      • Hong Kong, Hong Kong, Hongkong, 999077
        • Hong Kong Council on Smoking and Health (COSH)
        • Contact:
          • Man Ping Wang, PhD
          • Telefoonnummer: +852 3917 6636
          • E-mail: mpwang@hku.hk
        • Onderonderzoeker:
          • Shengzhi Zhao, PhD
        • Onderonderzoeker:
          • Xiaoyun Xie, MPH
        • Onderonderzoeker:
          • Mengyao Li, Mphil
        • Contact:
        • Hoofdonderzoeker:
          • Man Ping Wang
        • Onderonderzoeker:
          • Ziqiu Guo, PhD
        • Onderonderzoeker:
          • Yilan Wu, MGH
        • Onderonderzoeker:
          • Patrick IP, MD, PhD
        • Onderonderzoeker:
          • Ning Huang, PhD

Deelname Criteria

Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.

Geschiktheidscriteria

Leeftijden die in aanmerking komen voor studie

  • Volwassen
  • Oudere volwassene

Accepteert gezonde vrijwilligers

Nee

Beschrijving

Inclusion Criteria:

  1. Hong Kong residents aged 18 years or above
  2. Smoke at least one cigarette (including heated tobacco products) per day or use an e-cigarette daily in the preceding 3 months
  3. Able to communicate in Cantonese (including reading and writing Chinese)
  4. Saliva cotinine level ≥30 ng/mL
  5. Intention to quit or reduce smoking
  6. Have WhatsApp installed
  7. Able to use WhatsApp for communication

Exclusion Criteria:

  1. Smokers who have communication barriers (either physical or cognitive)
  2. Smokers who are currently participating in other smoking cessation programs or services

Studie plan

Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.

Hoe is de studie opgezet?

Ontwerpdetails

  • Primair doel: Onderzoek naar gezondheidsdiensten
  • Toewijzing: Gerandomiseerd
  • Interventioneel model: Parallelle opdracht
  • Masker: Enkel

Wapens en interventies

Deelnemersgroep / Arm
Interventie / Behandeling
Experimenteel: Interventie groep
Gedragsmatig: Herinneringsberichten
WhatsApp-berichten over vervolgonderzoekherinneringen.
Gedragsmatig: AWARD advice
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.
Gedragsmatig: Brief leaflet on health warning and smoking cessation
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.
Gedragsmatig: Referral card
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.
Gedragsmatig: Self-help smoking cessation booklet
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.
Gedragsmatig: 12 weeks of chatbot-based instant messaging support
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.
Gedragsmatig: Personalized active referral
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, at the 1- and 2-month follow-ups, assist participants in booking or rebooking appointments if necessary. Investigators shall liaise with existing service providers and seek their assistance in promptly supporting our smokers.
Actieve vergelijker: Controlegroep
Gedragsmatig: Herinneringsberichten
WhatsApp-berichten over vervolgonderzoekherinneringen.
Gedragsmatig: AWARD advice
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.
Gedragsmatig: Brief leaflet on health warning and smoking cessation
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.
Gedragsmatig: Referral card
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.
Gedragsmatig: Self-help smoking cessation booklet
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.
Gedragsmatig: 12 weeks of human-led instant messaging support
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.
Gedragsmatig: Personalized active referral
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, at the 1- and 2-month follow-ups, assist participants in booking or rebooking appointments if necessary. Investigators shall liaise with existing service providers and seek their assistance in promptly supporting our smokers.

Wat meet het onderzoek?

Primaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Biochemisch gevalideerde onthouding
Tijdsspanne: 6 maanden follow-up
Gedefinieerd als uitgeademd CO-gehalte <4ppm en speeksel-cotininegehalte ≤30 ng/ml
6 maanden follow-up

Secundaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Biochemisch gevalideerde onthouding
Tijdsspanne: 3 maanden follow-up
Gedefinieerd als uitgeademd CO-gehalte <4ppm en speeksel-cotininegehalte ≤30 ng/ml
3 maanden follow-up
Zelf gerapporteerde 7-daagse prevalentie onthouding
Tijdsspanne: 3- en 6-maanden follow-ups
Rokers die zelfs geen trek rookten in de 7 dagen voorafgaand aan de follow-up
3- en 6-maanden follow-ups
Zelfgerapporteerde reductie
Tijdsspanne: 1-, 2-, 3- en 6-maanden follow-ups
Gedefinieerd door ten minste 50% vermindering van het dagelijkse dagelijkse aantal sigaretten
1-, 2-, 3- en 6-maanden follow-ups
Zelfgerapporteerd gebruik van het stoppen met roken
Tijdsspanne: 1-, 2-, 3- en 6-maanden follow-ups
Gebruik van het stoppen met roken bij follow-ups van 1-, 2-, 3- en 6 maanden.
1-, 2-, 3- en 6-maanden follow-ups
Prolonged abstinence
Tijdsspanne: 3-month and 6-month follow-ups
Abstinence from smoking for 3 consecutive months at 3-month follow-up, or for 6 consecutive months at 6-month follow-up
3-month and 6-month follow-ups
Quit attempt
Tijdsspanne: 1-, 2-, 3-, and 6-month follow-ups
Abstinence for at least 24 hours
1-, 2-, 3-, and 6-month follow-ups
Post-cessation weight change
Tijdsspanne: 6-month follow-up
Self-reported change in body weight (in kilograms) from baseline to follow-up
6-month follow-up
Self-reported smoking-related health conditions
Tijdsspanne: Baseline and 6-month follow-up
Answer "Yes" to experiencing any smoking-related health condition during smoking cessation or reduction
Baseline and 6-month follow-up
Self-reported mental health conditions
Tijdsspanne: Baseline and 6-month follow-up
Patient Health Questionnaire-4 (PHQ-4): The PHQ-4 is a 4-item ultra-brief screening tool for anxiety and depression that combines the GAD-2 and PHQ-2 subscales. Each item is scored 0-3, with a total score of 0-12; subscale scores of 3 or higher indicate positive screening and warrant further clinical assessment.
Baseline and 6-month follow-up
Chatbot user experience
Tijdsspanne: 3-month follow-up
Chatbot Usability Scale, or the 11-item Bot Usability Scale (BUS), is a validated questionnaire that evaluates chatbot usability across five dimensions (accessibility, function quality, conversation/information quality, privacy/security, and response time) using a 5-point Likert scale. The total score (11-55) is the sum of all items; a higher total score indicates better overall usability and greater user satisfaction. Higher scores on individual dimensions similarly reflect superior performance in those areas.
3-month follow-up

Medewerkers en onderzoekers

Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.

Sponsor

The University of Hong Kong

Medewerkers

Hong Kong Council on Smoking and Health

Onderzoekers

  • Hoofdonderzoeker: Man Ping Wang, The University of Hong Kong

Studie record data

Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.

Bestudeer belangrijke data

Studie start (Geschat)

27 juni 2026

Primaire voltooiing (Geschat)

30 oktober 2027

Studie voltooiing (Geschat)

30 juni 2028

Studieregistratiedata

Eerst ingediend

9 juni 2026

Eerst ingediend dat voldeed aan de QC-criteria

9 juni 2026

Eerst geplaatst (Werkelijk)

15 juni 2026

Updates van studierecords

Laatste update geplaatst (Werkelijk)

30 juni 2026

Laatste update ingediend die voldeed aan QC-criteria

26 juni 2026

Laatst geverifieerd

1 juni 2026

Meer informatie

Termen gerelateerd aan deze studie

Trefwoorden

Aanvullende relevante MeSH-voorwaarden

Andere studie-ID-nummers

  • QTW2026

Plan Individuele Deelnemersgegevens (IPD)

Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?

NEE

Informatie over medicijnen en apparaten, studiedocumenten

Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel

Nee

Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct

Nee

Deze informatie is zonder wijzigingen rechtstreeks van de website clinicaltrials.gov gehaald. Als u verzoeken heeft om uw onderzoeksgegevens te wijzigen, te verwijderen of bij te werken, neem dan contact op met register@clinicaltrials.gov. Zodra er een wijziging wordt doorgevoerd op clinicaltrials.gov, wordt deze ook automatisch bijgewerkt op onze website .

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