RecruitingNCT06978894

Predicting Psychotic Relapse Using Speech-Based Early Detection

Sponsor

Douglas Mental Health University Institute

Enrollment

250 participants

Start Date

May 27, 2024

Study Type

OBSERVATIONAL

Conditions

Psychosis

Summary

Psychotic disorders, including schizophrenia and affective psychosis, are severe mental health conditions marked by recurrent episodes that contribute to long-term disability. Relapses, characterized by the re-emergence of psychotic symptoms after remission, are a critical factor in the progression of these disorders, increasing risks such as suicide, cognitive impairment, and unemployment. This study aims to develop a novel, speech-based digital model to predict relapses in individuals with psychosis. Building on previous research into language abnormalities in schizophrenia, the study will employ a longitudinal design across Early Psychosis Intervention (EPI) clinics in Ontario and Quebec to advance relapse prediction

Eligibility

Min Age: 16 Years

Plain Language Summary

Simplified for easier understanding

This study is developing a tool that can detect early warning signs of psychotic relapse by analyzing changes in how a person speaks over time — using recordings from a smartphone app. The goal is to catch a coming episode early enough to intervene before a full relapse occurs. **You may be eligible if...** - You are 16 or older - You have been diagnosed with a psychotic disorder (such as schizophrenia or schizoaffective disorder) based on DSM-5 criteria - You are fluent in English or French - You are currently receiving treatment through an early psychosis intervention (EPI) program **You may NOT be eligible if...** - You have a severe speech or language disorder such as aphasia - Your primary diagnosis is a non-psychotic condition - You are unable to give consent or complete the assessments Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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