Open AccessA Stratified Model for Psychosis Prediction in Clinical Practice
Author(s) -
Chantal Michel,
Stephan Ruhrmann,
Benno G. Schimmelmann,
Joachim Klosterkötter,
Frauke SchultzeLutter
Publication year - 2014
Publication title -
schizophrenia bulletin
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.823
H-Index - 190
eISSN - 1745-1701
pISSN - 0586-7614
DOI - 10.1093/schbul/sbu025
Subject(s) - neurocognitive , psychology , psychosis , cognition , clinical psychology , psychiatry , schizophrenia (object oriented programming) , risk assessment , computer science , computer security
Impaired cognition is an important dimension in psychosis and its at-risk states. Research on the value of impaired cognition for psychosis prediction in at-risk samples, however, mainly relies on study-specific sample means of neurocognitive tests, which unlike widely available general test norms are difficult to translate into clinical practice. The aim of this study was to explore the combined predictive value of at-risk criteria and neurocognitive deficits according to test norms with a risk stratification approach.
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