The Community Assessment of Psychic Experiences: Optimal cut-off scores for detecting individuals with a psychotic disorder

Edo S. Jaya, Therese van Amelsvoort, Agna A. Bartels-Velthuis, Richard Bruggeman, Wiepke Cahn, Lieuwe de Haan, Rene S. Kahn, Jim van Os, Frederike Schirmbeck, Claudia J. P. Simons, Tania M. Lincoln

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)

Abstract

Objectives: The need for a brief screening tool for psychosis is widely recognized. The Community Assessment of Psychic Experiences (CAPE) is a popular self-report measure of psychosis, but a cut-off score that can detect those most likely to fulfill diagnostic criteria for psychotic disorder is not established. Methods: A case–control sample from the Genetic Risk and Outcome of Psychosis Project study (N = 1375, healthy individuals, n = 507, and individuals with a psychotic disorder, n = 868), was used to examine cut-off scores of the CAPE with receiver operating curve analyses. We examined 27 possible cut-off scores computed from a combination of scores from the frequency and distress scales of the various factors of the CAPE. Results: The weighted severity positive symptom dimension was most optimal in detecting individuals with a psychotic disorder (>1.75 cut-off; area under the curve = 0.88; sensitivity, 75%; specificity, 88%), which correctly identified 80% of the sample as cases or controls with a diagnostic odds ratio of 22.69. Conclusions: The CAPE can be used as a first screening tool to detect individuals who are likely to fulfill criteria for a psychotic disorder. The >1.75 cut-off of the weighted severity positive symptom dimension provides a better prediction than all alternatives tested so far.
Original languageEnglish
Article numbere1893
JournalInternational journal of methods in psychiatric research
Volume30
Issue number4
Early online date2021
DOIs
Publication statusPublished - Dec 2021

Keywords

  • ROC
  • early detection
  • psychotic experiences
  • psychotic symptoms
  • schizophrenia

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