Literature DB >> 18393134

[The Basel Screening Instrument for Psychosis (BSIP): development, structure, reliability and validity].

A Riecher-Rössler1, J Aston, J Ventura, M Merlo, S Borgwardt, U Gschwandtner, R-D Stieglitz.   

Abstract

BACKGROUND: Early detection of psychosis is of growing clinical importance. So far there is, however, no screening instrument for detecting individuals with beginning psychosis in the atypical early stages of the disease with sufficient validity. We have therefore developed the Basel Screening Instrument for Psychosis (BSIP) and tested its feasibility, interrater-reliability and validity. AIM: Aim of this paper is to describe the development and structure of the instrument, as well as to report the results of the studies on reliability and validity.
METHOD: The instrument was developed based on a comprehensive search of literature on the most important risk factors and early signs of schizophrenic psychoses. The interraterreliability study was conducted on 24 psychiatric cases. Validity was tested based on 206 individuals referred to our early detection clinic from 3/1/2000 until 2/28/2003.
RESULTS: We identified seven categories of relevance for early detection of psychosis and used them to construct a semistructured interview. Interrater-reliability for high risk individuals was high (Kappa .87). Predictive validity was comparable to other, more comprehensive instruments: 16 (32 %) of 50 individuals classified as being at risk for psychosis by the BSIP have in fact developed frank psychosis within an follow-up period of two to five years.
CONCLUSIONS: The BSIP is the first screening instrument for the early detection of psychosis which has been validated based on transition to psychosis. The BSIP is easy to use by experienced psychiatrists and has a very good interrater-reliability and predictive validity.

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Year:  2008        PMID: 18393134     DOI: 10.1055/s-2008-1038155

Source DB:  PubMed          Journal:  Fortschr Neurol Psychiatr        ISSN: 0720-4299            Impact factor:   0.752


  42 in total

1.  Disease prediction in the at-risk mental state for psychosis using neuroanatomical biomarkers: results from the FePsy study.

Authors:  Nikolaos Koutsouleris; Stefan Borgwardt; Eva M Meisenzahl; Ronald Bottlender; Hans-Jürgen Möller; Anita Riecher-Rössler
Journal:  Schizophr Bull       Date:  2011-11-10       Impact factor: 9.306

2.  At risk or not at risk? A meta-analysis of the prognostic accuracy of psychometric interviews for psychosis prediction.

Authors:  Paolo Fusar-Poli; Marco Cappucciati; Grazia Rutigliano; Frauke Schultze-Lutter; Ilaria Bonoldi; Stefan Borgwardt; Anita Riecher-Rössler; Jean Addington; Diana Perkins; Scott W Woods; Thomas H McGlashan; Jimmy Lee; Joachim Klosterkötter; Alison R Yung; Philip McGuire
Journal:  World Psychiatry       Date:  2015-10       Impact factor: 49.548

3.  Distinguishing prodromal from first-episode psychosis using neuroanatomical single-subject pattern recognition.

Authors:  Stefan Borgwardt; Nikolaos Koutsouleris; Jacqueline Aston; Erich Studerus; Renata Smieskova; Anita Riecher-Rössler; Eva M Meisenzahl
Journal:  Schizophr Bull       Date:  2012-09-11       Impact factor: 9.306

Review 4.  The prodrome and clinical risk for psychotic disorders.

Authors:  Sandra M Goulding; Carrie W Holtzman; Hanan D Trotman; Arthur T Ryan; Allison N Macdonald; Daniel I Shapiro; Joy L Brasfield; Elaine F Walker
Journal:  Child Adolesc Psychiatr Clin N Am       Date:  2013-06-18

5.  Prediction and prevention of psychosis: current progress and future tasks.

Authors:  Stephan Ruhrmann; Frauke Schultze-Lutter; Stefanie J Schmidt; Nathalie Kaiser; Joachim Klosterkötter
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2014-09-26       Impact factor: 5.270

6.  The role of vulnerability factors in individuals with an at-risk mental state of psychosis.

Authors:  Martina Papmeyer; Irène Würsch; Erich Studerus; Rolf-Dieter Stieglitz; Anita Riecher-Rössler
Journal:  Neuropsychiatr       Date:  2016-03-11

7.  Effects of an electronic reminder system on guideline-concordant treatment of psychotic disorders : Results from a pilot feasibility trial.

Authors:  Irina Franke; Sarah Thier; Anita Riecher-Rössler
Journal:  Neuropsychiatr       Date:  2016-11-07

8.  Predictors of study drop-out and service disengagement in patients at clinical high risk for psychosis.

Authors:  Letizia Leanza; Erich Studerus; Amatya J Mackintosh; Katharina Beck; Leonie Seiler; Christina Andreou; Anita Riecher-Rössler
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2019-10-23       Impact factor: 4.328

9.  Different duration of at-risk mental state associated with neurofunctional abnormalities. A multimodal imaging study.

Authors:  Renata Smieskova; Paul Allen; Andor Simon; Jacqueline Aston; Kerstin Bendfeldt; Jürgen Drewe; Kerstin Gruber; Ute Gschwandtner; Markus Klarhoefer; Claudia Lenz; Klaus Scheffler; Rolf-Dieter Stieglitz; Ernst-Wilhelm Radue; Philip McGuire; Anita Riecher-Rössler; Stefan J Borgwardt
Journal:  Hum Brain Mapp       Date:  2011-09-16       Impact factor: 5.038

10.  Development and Validation of a Dynamic Risk Prediction Model to Forecast Psychosis Onset in Patients at Clinical High Risk.

Authors:  Erich Studerus; Katharina Beck; Paolo Fusar-Poli; Anita Riecher-Rössler
Journal:  Schizophr Bull       Date:  2020-02-26       Impact factor: 9.306

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