Using Speech to Predict Psychosis Relapse
Studies whether speech patterns can predict relapse in people with psychosis.
Plain-language title generated from the registry record
Registry title: Predicting Psychotic Relapse Using Speech-Based Early Detection
Key facts
- Where
- London, Montreal, and Québec, CanadaSee the 3 sites
Where in Canada
- Robarts Research InstituteLondon, CanadaTaking people
- Douglas Mental Health University InstituteMontreal, CanadaTaking people
- VitamQuébec, CanadaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Douglas Mental Health University Institute
- Trial code
- NCT06978894
- Record updated
- 18 May 2025
- Original description
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 predictionRead full original descriptionShow less
Predicting Psychotic Relapse Using Speech-Based Early Detection
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
Inclusion: 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: Severe comorbid speech or language disorders (e.g., aphasia); Primary diagnosis of non-psychotic disorders; Inability to provide consent or complete assessments.