What is the mechanism of action of this treatment?

Motivational Interviewing (MI) operates through mechanisms such as expressing empathy, developing discrepancy, rolling with resistance, and supporting self-efficacy. These principles help patients explore and resolve ambivalence about behavior change, enhancing their intrinsic motivation. The ClientBot trial, which uses an AI-based conversational agent to provide performance-based feedback to counselors, aims to improve counselor training. This is crucial for MI patients as it leads to more skilled and empathetic interactions, ultimately improving patient outcomes.

What side effects are associated with this type of intervention?

Motivational Interviewing (MI) is generally a low-risk intervention with minimal side effects. Potential side effects may include emotional discomfort, temporary increases in anxiety or stress, and frustration if progress is slow. Digital adaptations like ClientBot may also introduce concerns related to data privacy and the impersonal nature of AI interactions.

What prior FDA approvals exist?

There are no specific FDA approvals for Motivational Interviewing itself, as it is a counseling technique rather than a medication. However, technological interventions similar to the ClientBot, which uses AI to support counselor training, are being studied. These interventions aim to enhance the effectiveness of MI by providing performance-based feedback and simulating realistic client interactions. While specific FDA approvals for such AI-based tools are not detailed, the development and study of these technologies indicate a growing interest in integrating advanced digital tools into therapeutic practices.

What other types of research exist?

Promising alternatives to ClientBot for Motivational Interviewing patients in 2024 include: 1) Virtual Reality (VR) platforms that simulate real-life counseling scenarios for immersive training experiences. 2) Advanced AI-driven chatbots with natural language processing capabilities for more nuanced and personalized feedback. 3) Mobile applications with integrated AI that offer real-time analytics and adaptive learning modules for both counselors and patients. 4) Telehealth platforms with built-in AI tools for remote supervision and feedback during live counseling sessions.

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Artificial Intelligence

ClientBot for Alcoholism Counseling

N/A

Recruiting

Research Sponsored by Lyssn.io, Inc.

Eligibility Criteria Checklist

Specific guidelines that determine who can or cannot participate in a clinical trial

Must have

Be older than 18 years old

Timeline

Screening 3 weeks

Treatment Varies

Follow Up 2 months post-training with clientbot, an average of 3 months following baseline

Awards & highlights

No Placebo-Only Group

Summary

This trial tests ClientBot, an AI program that simulates a client with alcohol issues to help train counselors. It aims to enhance the skills of counselors by providing realistic practice and feedback to improve their counseling techniques.

Who is the study for?

This trial is for clinician trainees who are currently participating in training programs with the Prevention Research Institute (PRI). There are no specific exclusion criteria, so all those involved in such training are eligible to participate.

What is being tested?

The study is testing 'ClientBot', an AI-based conversational agent designed to simulate a realistic client with alcohol concerns. It aims to support counselor training by providing performance feedback during motivational interviewing exercises.

What are the potential side effects?

Since 'ClientBot' is a software tool used for educational purposes and not a medical intervention, there are no direct physical side effects associated with its use.

Timeline

Screening ~ 3 weeks3 visits

Treatment ~ Varies

Follow Up ~ 2 months post-training with clientbot, an average of 3 months following baseline

Screening ~ 3 weeks

Treatment ~ Varies

Follow Up ~2 months post-training with clientbot, an average of 3 months following baseline

This trial's timeline: 3 weeks for screening, Varies for treatment, and 2 months post-training with clientbot, an average of 3 months following baseline for reporting.

Treatment Details

Study Objectives

Study objectives can provide a clearer picture of what you can expect from a treatment.

Primary study objectives

CASPI: Computer Assessment of Simulated Patient Interviews

Awards & Highlights

No Placebo-Only Group

All patients enrolled in this study will receive some form of active treatment.

Trial Design

2Treatment groups

Experimental Treatment

Active Control

Group I: ClientBot (CB)Experimental Treatment1 Intervention

CB trainees will engage in 5 weekly practice sessions with ClientBot

Group II: Treatment as Usual (TAU)Active Control1 Intervention

TAU will receive no training during the intervention period.

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Research Highlights

Information in this section is not a recommendation. We encourage patients to speak with their healthcare team when evaluating any treatment decision.

Mechanism Of Action

Side Effect Profile

Prior Approvals

Other Research

Motivational Interviewing (MI) operates through mechanisms such as expressing empathy, developing discrepancy, rolling with resistance, and supporting self-efficacy. These principles help patients explore and resolve ambivalence about behavior change, enhancing their intrinsic motivation. The ClientBot trial, which uses an AI-based conversational agent to provide performance-based feedback to counselors, aims to improve counselor training. This is crucial for MI patients as it leads to more skilled and empathetic interactions, ultimately improving patient outcomes.