Trajectories and Predictors in the Clinical High Risk for Psychosis Population: Prediction Scientific Global Consortium (PRESCIENT)

General Information

Status

Ongoing (II): Recruitment and data collection ongoing

Description

Big data is being used to study the course of illness in patients at increased risk for psychosis. Clinical and neuropsychological data, neuroimaging data, EEG data and various laboratory parameters are collected.

Survey Results

Is it an interventional or non-interventional study?

Non-interventional

Specification of study type

Case-control
Longitudinal

Is it a mono- or multicentric study?

Multicentric

Number of sites

Is it a single or multi country study?

Multi

Which countries?

Australia, South Korea, Singapore, Hon Kong, The Netherlands, Denmark, Germany, Switzerland, UK

Who are participants?

Patients with specific diseases

Which diseases? (ICD-11 classification)

Not applicable

Recruitment setting

General population
Hospital
Outpatient

Target sample size

1400

Obtained sample size

50%

Start of recruitment

2023

Minimum age of participants

Maximum age of participants

Data sources for the study

Biological samples
Cognitive measurements
Imaging data
Medical records
Interview
Questionnaire
Physiological/biochemical measurements
Smartphone or wearable based data

Is it planned to share the data?

Yes, there is a plan to make data available

Additional information about data sharing

NIMH DATA ARCHIVE (NDA)

Are further follow-ups planned?

Not planned, but possible

Is there consent to re-contact participants?

Is the implementation of further study components possible?