Predicting Psychotic Relapse Using Speech-Based Early Detection
Trial Parameters
Brief 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 Criteria
Inclusion Criteria: * Age must be 16 years and older * Diagnosis must meet DSM-5 criteria for psychotic disorders, including schizophrenia, schizoaffective disorder, or related conditions * Fluency in English or French * Must be currently receiving treatment through an EPI program Exclusion Criteria: * Severe comorbid speech or language disorders (e.g., aphasia) * Primary diagnosis of non-psychotic disorders * Inability to provide consent or complete assessments