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...

General Design

Type
Cohort study
Cohort type
Clinical cohort
Design
Longitudinal
Start/End data collection
1998 until 2018
License
https://license-placeholder.nl

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
  • GGZ Drenthe 
  • GGZ Friesland 
  • Lentis Research 
  • University Medical Center Groningen (UMCG)
    Netherlands (the)

Contributors

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 insti...

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.