PSYCONN

Psychosis Cohort Northern Netherlands

Description

PSYCONN (=Psychosis Cohort Northern Netherlands) is a combination of 3 datasets from the northern part of the Netherlands; PROGR-S (=Psychosis Recent Onset GRoningen Survey), PHAMOUS (=Pharmacotherapy Outcome and Monitoring Survey) and RQ-MIS (=RoQua Management Information System). Also, see https://umcgresearchdatacatalogue.nl/UMCG/ssr-catalogue/cohorts/MindLines. PROGR-S, initiated in 1997 without an age restriction, collects diagnostic measurements of patients with a suspected recent-onset psychotic episode or recurrent psychotic episode not diagnosed as such before. PHAMOUS, initiated in 2006, contains follow-up data of patients ≥18 years of age with a psychotic disorder who receive care from mental health care institutions in the northern part of the Netherlands (University Medical Center Groningen (UMCG)/University Center for Psychiatry (UCP), Lentis, GGZ Drenthe or GGZ Friesland). PROGR-S and PHAMOUS are both ongoing naturalistic prospective cohort studies. PHAMOUS participants will only be included when they are also enrolled in PROGR-S. RQ-MIS contains health care consumption, socio-demographic, and diagnosis data. PSYCONN baseline data is collected from PROGR-S and RQ-MIS. PSYCONN outcome data is collected from PHAMOUS, RQ-MIS, and an additional medical records file search.

General Design

Type
Cohort study, Registry
Cohort type
Clinical cohort
Design
Longitudinal
Start/End data collection
1998 until 2018

Population

Countries
Netherlands (the)
Regions
Drenthe, Friesland, Groningen
Number of participants
1000
Population age groups
Adult (18+ years)
Main medical condition
  • V Mental and behavioural disorders

Organisations

Lead organisations

Available Data & Samples

Data categories

  • Biological samples
  • Survey data
  • Medical records
  • Physiological/Biochemical measurements
  • Other

Areas of information

  • Administrative information
  • Socio-demographic and economic characteristics
  • Lifestyle and behaviours
  • Perception of health, quality of life, development and functional limitations
  • Symptoms and signs
  • Medication and supplements
  • Non-pharmacological interventions
  • Health and community care services utilization
  • Death
  • Physical measures and assessments
  • Laboratory measures
  • Cognition, personality and psychological measures and assessments
  • Life events, life plans, beliefs and values
  • Preschool, school and work life
  • Social environment and relationships
  • Physical environment

Data dictionaries

Tables
Tables and their description
No results for current selection
Variables
Variables and their description
No results for current selection

Subpopulations

List of subpopulations for this resource
No results for current selection

Collection events

List of collection events defined for this resource
No results for current selection

Networks

Part of networks

Access conditions

IPEC set up a virtual databank and implemented a technical infrastructure for remote federated analysis of individual-level data of psychosis patients. With this platform, individual patient data remains stored on local servers of participating institutions and individual patient data will not be transported to one central site. Contact IPEC via ipec@umcg.nl to receive more information about access to the virtual databank.
Release type
Periodically

Funding & Acknowledgements

Funding
IPEC was supported by the 2020 SIRS Research Harmonization Group Award which included a grant in the amount of $5000 USD to Prof. Wim Veling and Prof. Craig Morgan; an internal MD-PhD research grant of the University Medical Center Groningen (grant number 18-41) to Vera Brink, MSc; a grant in the amount of 400,000 DKK of the Capital Regions Research council to Dr Nikolai Albert; and the participating institutions (Lentis Psychiatric Institute, GGZ Drenthe, GGZ Friesland, University Center Psychiatry of University Medical Center Groningen, Bispebjerg hospital, Psychiatric Hospital Risskov, and Psychiatric Centre Copenhagen).
Acknowledgements
IPEC wishes to acknowledge the services of all the study participants, staff, research groups, and institutions collaborating in IPEC, and of MOLGENIS and RoQua, who helped build and maintain the technical infrastructure.