A Large Language Model-based Chatbot for Alcohol Reduction in Patients With Metabolic Alcohol-Related Liver Disease

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorThe University of Hong Kong

About this trial

The goal of this pilot randomized controlled trial is to evaluate the trial feasibility and acceptability of LLM-based chatbot for reducing alcohol use among patients with metabolic alcohol-related liver disease. Specific objectives include:

1. To assess how many MetALD patients accept the invitation to participate in the trial 2. To assess the retention rate of the participants through 3 and 6 months after treatment initiation 3. To assess the acceptability of the LLM-based chatbot in terms of participants' compliance and usability rating 4. To estimate the intervention effect on alcohol reduction 5. To explore the participants' perception and experiences in the chatbot

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Evidence of hepatic steatosis (fat accumulation in the liver) confirmed by imaging techniques such as ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), or liver biopsy

Overweight or obesity (body mass index [BMI] ≥25 kg/m²),

Type 2 diabetes mellitus, ③Dyslipidemia (elevated triglycerides [≥150 mg/dL] or low high-density lipoprotein [HDL] cholesterol [<40 mg/dL for men, <50 mg/dL for women]), ④Hypertension (blood pressure ≥130/85 mmHg or use of antihypertensive medication).

Metabolic syndrome as defined by established criteria (e.g., International Diabetes Federation [IDF], Adult Treatment Panel III [ATP III]) 3. Alcohol consumption: males who drink 210-420 g/week (≈263-525 ml), female who drink 140-350 g/week (≈175-438 ml) 4. Intention to reduce/quit alcohol 5. Able to read and communicate in Chinese 6. Own a smartphone with internet access

Disqualifiers

Diagnosed with mental disease or cognitive impairments, or

Participating in other ongoing clinic trials

Trial design

Design model

Parallel

Treatments tested in this trial

  • LLM-based chatbot

    Behavioral

    Over the three months following randomisation, an LLM-based chatbot will interact with each participant individually to deliver four personalized sessions of alcohol reduction information and advice, and participants will also be allowed to contact the chatbot at any time.

  • Telephone counseling

    Behavioral

    Over the three months following randomisation, a trained counsellor will conduct four individual daytime telephone sessions with each participant to provide personalised information and advice on reducing alcohol consumption.

  • Alcohol Brief Intervention

    Behavioral

    Brief counselling (5 to 10 mins) to reduce drinking and a self-help booklet

Treatment groups

50 Participants
are divided into 2 treatment groups
Group A: LLM-based chatbotExperimental treatment 2 interventions
Group B: Telephone counselingActive comparator 2 interventions

Trial outcomes

Primary outcomes

1

Recruitment rate

Number of participants divided by the number of eligible subjects

Time frame
Through recruitment completion, about 12 months
2

Retention rate

Number of participants completed the follow-up divided by the number of participants

Time frame
6 months after randomisation
3

Weekly alcohol consumption

Assessed by questions 1 and 2 of AUDIT-C

Time frame
3 months after randomisation

Secondary outcomes

1

Eligibility rate

Number of eligible patients divided by the number of patients screened

Time frame
Through recruitment completion, about 12 months
2

Weekly alcohol consumption

Assessed by questions 1 and 2 of AUDIT-C

Time frame
6 months after randomisation
3

Frequency of binge drinking in the past 30 days

Self-reported

Time frame
3 months after randomisation
4

Frequency of binge drinking in the past 30 days

Self-reported

Time frame
6 months after randomisation

Other outcomes

Sponsors and contacts

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