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Chatbot for Online Support Groups to Treat Tobacco Addiction

Intelligent Chatbot for Online Support Groups to Treat Tobacco Addiction

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06952725
Enrollment
120
Registered
2025-05-01
Start date
2026-12-01
Completion date
2028-06-01
Last updated
2026-05-22

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

Conditions

Tobacco Dependence, Tobacco Use Disorder

Keywords

tobacco use addiction, online support group, chatbot

Brief summary

Investigators will conduct a pilot RCT to test the efficacy of an intelligent chatbot to aid small, private, quit-smoking peer support groups. Participants will be randomized to an intervention arm (chatbot-enhanced support group), or a control arm (support group only). In the intervention arm (N=60), each support group will be connected to an intelligent chatbot running on a secure local server as a trained LLM (large language model). The intelligent chatbot will function as an additional member of the GroupMe support group, but a member that only responds if no human does so. In the control arm (N=60), the support groups will be connected to an automated message-posting bot running on a secure local server. This automated message-posting bot will lack the response capabilities of the intelligent chatbot. But both the intelligent chatbot and the automated message-posting bot will post a pre-written daily discussion topic to encourage participants to discuss issues known to facilitate tobacco cessation or group bonding.

Detailed description

Investigators will conduct a pilot RCT to test the efficacy of an intelligent chatbot to aid small, private, quit-smoking peer support groups. For this pilot RCT, investigators will use a 2-armed parallel group trial design with an active treatment concurrent control. Participants will be randomized to the intervention arm (chatbot-enhanced support group), or the control arm (support group only). All groups will run on GroupMe, a free group chat platform. Investigators will recruit cohorts of 30 smokers, in 4 waves (N=120). After recruitment is complete, a statistician will randomly assign 15 participants to the intervention arm and 15 participants to the control arm. Investigators will place 15 people in each support group arm to ensure a critical mass even with the expected participant attrition. After randomization, each participant will stay in their assigned arm for study duration. Prior to study start, each participant will receive 8 weeks of combination NRT, including nicotine patch and gum or lozenges (their choice), consistent with clinical practice guidelines for tobacco cessation. In the intervention arm (N=60), each support group will be connected to the intelligent chatbot running on a secure local server as a trained LLM (large language model). This chatbot will monitor all posts in the group and seek to comprehend these posts using the training it has been provided. If a group member makes a post and no one responds with about 10 seconds, the chatbot will respond using one of its 25 response libraries created from knowledge bases, which contain over 1k responses in total. In effect, the intelligent chatbot will function as an additional member of the GroupMe support group, but a member that only responds if no human does so. Furthermore, every day at 5 PM Pacific, 8 PM Eastern, the chatbot will post a pre-written daily discussion topic, to encourage participants to discuss issues known to facilitate tobacco cessation or group bonding. In the control arm (N=60), the support groups will be connected to an automated message-posting bot running on a secure local server. This automated message-posting bot will lack the response capabilities of the intelligent chatbot; it will not respond to posts if no human group member does but, instead, remain silent. However, it will post the same daily discussion topic, and at the same time of day, as the intelligent chatbot. Each night, investigators will download each group's past 24-hour posts. These downloads will show each post verbatim along with the datetime stamp and poster username (including posts by the chatbot and automated message-posting bot). Using these downloaded posts, investigators will measure the primary outcome: the total number of posts made by each human participant, excluding the chatbot or bot. In addition, investigators will measure participants' bio-confirmed smoking abstinence and their NRT usage at 1-month and at 3-month intervention end. Trained research staff who are blind to study arm will contact participants via email, text and phone. They will ask participants the following 4 questions: Over the past 7 days, how many cigarettes have they smoked? Over the past 7 days, how many times have they vaped or use e-cigarettes with nicotine? Over the past 7 days, how many times have they used tobacco products other than cigarettes, e.g., cigars, pipe, snuff, chew, snus, or hookah? Over the past 7 days, how many times have they used Nicotine Replacement Therapy or NRT, e.g., patches, gum or lozenges? At 3-month intervention end, investigators will seek to bioconfirm self-reported smoking abstinence. If a participant reports no use of tobacco and no NRT use over the past 7 days, or refuses to answer, investigators will mail out a cotinine saliva test and set up a video (e.g., zoom or FaceTime) appointment at a convenient time for them to take it. Each participant's saliva test will be observed by trained research staff blind to study arm. If a participant recently used NRT, the saliva test will pick up that NRT, and so the test will not be a valid indicator of their smoking status. Therefore, investigators will not give a saliva test current NRT users and instead record them as NRT users. Investigators will incentivize participants to take the saliva test with gift cards.

Interventions

BEHAVIORALonline quit-smoking support group with intelligent chatbot

In the intervention arm (N=60), each quit-smoking peer support group will be connected to an intelligent chatbot running on a secure local server as a trained LLM (large language model). This chatbot will monitor all posts in the group and seek to comprehend these posts using the training it has been provided. If a group member makes a post and no one responds with about 10 seconds, the chatbot will respond using one of its 25 response libraries created from knowledge bases, which contain over 1k responses in total. In effect, the intelligent chatbot will function as an additional member of the GroupMe support group, but a member that only responds if no human does so.

BEHAVIORALonline quit-smoking support group with unintelligent bot

In the control arm (N=60), the support groups will be connected to our original automated message-posting bot running on our secure local server. This automated message-posting bot will lack the response capabilities of the intelligent chatbot; it will not respond to posts if no human group member does but, instead, remain silent. However, it will post the same daily discussion topic, and at the same time of day, as the intelligent chatbot.

Sponsors

University of California, Irvine
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
Yes

Inclusion criteria

* Cigarette smokers (can also use e-cigarettes) * Ages 18-75 years * English speaking * Smart phone with unlimited data * 100 cigarettes lifetime * Prepared to quit smoking within 10 days of study start * Active text and email * Use of social media or group messaging * Home address provided * Contact information for a collateral provided * Setup of a GroupMe account for study

Exclusion criteria

* No NRT health contraindications * 5+ cigarettes per day * Not an illicit drug user * Not a daily marijuana/cannabis user

Design outcomes

Primary

MeasureTime frameDescription
Overall posts per participantEnd of 90-day interventionEach night, our study website will download each group's past 24-hour posts in both the test and control conditions labeled by date and poster.

Secondary

MeasureTime frameDescription
Bio-confirmed smoking abstinenceEnd of 90-day interventionWe will measure smoking abstinence at 90-day intervention end, bioconfirmed with a saliva test, to conduct a power analysis for a larger RCT.
NRT use at 1-month30 days after intervention startIn a survey (using email, text or phone), 30 days after intervention start, we will measure past 7-day use of Nicotine Replacement Therapy or NRT, for descriptive purposes, e.g. to ensure no adverse effects on NRT use.
nrt use at intervention endEnd of 90-day interventionIn a survey (using email, text or phone) at the end of the 90-day intervention, we will measure past 7-day use of Nicotine Replacement Therapy or NRT, for descriptive purposes, e.g. to ensure no adverse effects on NRT use.

Contacts

CONTACTCornelia A Pechmann, PhD
cpechman@uci.edu3108920619
CONTACTIan G. Harris, PhD
harris@ics.uci.edu9498248842
PRINCIPAL_INVESTIGATORCornelia A. Pechmann, PhD

University of California, Irvine

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 23, 2026