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Evaluating the Effectiveness and Acceptability of a GPT-4o and RAG-Based Voice Chatbot for Depression Screening Using PHQ-9

NCT06801925 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2025-01-30

No results posted yet for this study

Summary

This study aims to assess the feasibility and acceptability of a voice-based chatbot, powered by GPT-4o and Retrieval-Augmented Generation (RAG), for conducting depression screening using the Patient Health Questionnaire-9 (PHQ-9). The PHQ-9 is a validated self-report instrument widely used to screen, diagnose, and monitor the severity of depression. It consists of nine questions that correspond to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria for major depressive disorder. Respondents rate the frequency of symptoms experienced over the past two weeks on a scale from 0 ("not at all") to 3 ("nearly every day"). The total score (ranging from 0 to 27) indicates the severity of depressive symptoms, categorized into minimal, mild, moderate, moderately severe, or severe depression. The PHQ-9 is also used to assess functional impairment and guide treatment decisions in clinical and research settings.

The voice-based chatbot integrates GPT-4o, with RAG to enhance its ability to provide informed and contextualized responses during interactions. GPT-4o serves as the conversational engine, capable of generating human-like, empathetic, and contextually appropriate dialogue. RAG, on the other hand, enables the chatbot to retrieve and incorporate external, up-to-date knowledge from a curated database or knowledge repository, ensuring the accuracy and reliability of its responses.

Conditions

  • Depression - Major Depressive Disorder
  • Depression Anxiety Disorder

Interventions

PROCEDURE

GPT-4o and RAG Voice Chatbot for PHQ-9 Screening

This study involves the use of a voice-based chatbot powered by GPT-4o and Retrieval-Augmented Generation (RAG) to conduct depression screening using the Patient Health Questionnaire-9 (PHQ-9). The chatbot aims to evaluate the feasibility and acceptability of using AI-powered conversational tools for mental health screening. Participants interact with the chatbot in a single session, answering PHQ-9 questions and receiving responses generated using GPT-4o and RAG technologies.

Sponsors & Collaborators

  • University College, London

    lead OTHER

Principal Investigators

  • Kezhi Li · University College, London

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-02-01
Primary Completion
2025-03-31
Completion
2025-05-31

Countries

  • United Kingdom

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06801925 on ClinicalTrials.gov