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

E.S. Jaya*, T. van Amelsvoort, A.A. Bartels-Velthuis, R. Bruggeman, W. Cahn, L. de Haan, R.S. Kahn, J. van Os, F. Schirmbeck, C.J.P. Simons, T.M. Lincoln

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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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

Keywords

  • early detection
  • psychotic experiences
  • psychotic symptoms
  • ROC
  • schizophrenia
  • ULTRA-HIGH RISK
  • PSYCHOMETRIC PROPERTIES
  • FIT INDEXES
  • VALIDATION
  • INSTRUMENT
  • CRITERIA
  • SAMPLE
  • CAPE

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