About this trial
The main aim of the clinical trial is to validate the Machin Learning (ML) predictive model for personalized Metacognitive Training (MCT) by comparing classic MCT to personalized MCT (P-MCT) among patients diagnosed with psychosis who had a history of delusions. More precisely, we will compare classic MCT to P-MCT in a randomized clinical trial.We expect personalised MCT treatment will see more improvement than classical MCT in outcome variables measuring treatment efficacy.
Eligibility criteria
Qualifiers
Inpatients and outpatients with a DSM-IV-R and DSM-5 diagnosis of non-affective psychosis or Clinical High Risk for psychosis.
Presence of positive symptoms during the last year (PANSS delusions, suspiciousness or grandiosity >=3).
Adults, 18 - 65 years of age
Stable condition with no expected changes in medication (information from clinical services).
Disqualifiers
Having received MCT in the previous year.
Neurological disorder, a history of head trauma or premorbid IQ below 70 (based on medical reports and/or other sources);
A score above 5 in the "Hostility" and the "Suspiciousness" items of the PANSS Positive subscale (to preserve group dynamics).
aggressive behavior (reports from clinical services if available)
Trial design
Treatments tested in this trial
- Psychological treatment (P-MCT)
- Psychological treatment (MCT)
Treatment groups
Sponsors and collaborators
Polish Academy of Sciences
Lead sponsor
Fundació Sant Joan de Déu
Collaborator
Universitätsklinikum Hamburg-Eppendorf
Collaborator
University Hospitals of Strasbourg
Collaborator
Universitat Politècnica de Catalunya
Collaborator
Universidad de Valparaiso
Collaborator