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
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

21 Citations (Scopus)
378 Downloads (Pure)

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
Number of pages12
JournalInternational Journal of Methods in Psychiatric Research
Volume30
Issue number4
Early online date31-Aug-2021
DOIs
Publication statusPublished - Dec-2021

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