Universität zu Köln

Ruhrmann, Stephan ORCID: 0000-0002-6022-2364, Klosterkoetter, Joachim, Bodatsch, Mitja, Nikolaides, Alexandra, Julkowski, Dominika, Hilboll, Desire and Schultz-Lutter, Frauke (2012). Chances and risks of predicting psychosis. Eur. Arch. Psych. Clin. Neurosci., 262. S. S85 - 6. HEIDELBERG: SPRINGER HEIDELBERG. ISSN 1433-8491

Full text not available from this repository.

Abstract

Prevention is currently regarded a promising strategy for fighting the unfavorable consequences of psychosis. Yet, for the error probability inherent in any predictive approach, benefits and costs must be carefully weighed against each other. False attribution of risk may unnecessarily provoke stress and anxiety, and lead to unwarranted intervention exposure. However, clinical risk samples already exhibit psychopathological symptoms, cognitive and functional impairments, and help-seeking for mental problems. Thus, the risk of futile interventions is low as long as preventive measures also provide treatment for current complaints. Differentiation between still normal and clinically relevant mental states is another challenge as psychotic-like phenomena occur frequently in the general population, especially in younger adolescents. Reported prevalence rates vary with age, and if severe in terms of frequency and persistence, these phenomena considerably increase risk of psychosis in clinical as well as general population samples. Stigmatization is another concern, though insufficiently studied. Yet, at least more severe states of risk, which are accompanied by changes in thinking, feeling, and behavior, might lead to unfavorable, (self-) stigmatizing effects already by themselves, independent of any diagnostic label, and to stress and confusion for the lack of understanding of what is going on. To further improve validity of risk criteria, advanced risk algorithms combining multi-step detection and risk stratification procedures should be developed. However, all prediction models possess a certain error probability. Thus, whether a risk model justifies preventive measures can only be decided by weighing the costs of unnecessary intervention and the benefits of avoiding a potentially devastating outcome.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Ruhrmann, Stephan UNSPECIFIED orcid.org/0000-0002-6022-2364 UNSPECIFIED Klosterkoetter, Joachim UNSPECIFIED UNSPECIFIED UNSPECIFIED Bodatsch, Mitja UNSPECIFIED UNSPECIFIED UNSPECIFIED Nikolaides, Alexandra UNSPECIFIED UNSPECIFIED UNSPECIFIED Julkowski, Dominika UNSPECIFIED UNSPECIFIED UNSPECIFIED Hilboll, Desire UNSPECIFIED UNSPECIFIED UNSPECIFIED Schultz-Lutter, Frauke UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-479147
DOI:	10.1007/s00406-012-0361-4
Journal or Publication Title:	Eur. Arch. Psych. Clin. Neurosci.
Volume:	262
Page Range:	S. S85 - 6
Date:	2012
Publisher:	SPRINGER HEIDELBERG
Place of Publication:	HEIDELBERG
ISSN:	1433-8491
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language AT-RISK; SCHIZOPHRENIA; SYMPTOMS; TRANSITION; PREVENTION; STATES; METAANALYSIS; EXPERIENCES; DISORDERS; CONTINUUM Multiple languages Clinical Neurology; Psychiatry Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/47914