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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
  • University of Indonesia
  • University of Hamburg
  • Maastricht UMC+
  • University of Groningen, University Medical Center Groningen
  • University of Groningen
  • University Medical Center Utrecht
  • Altrecht General Mental Health Care, Utrecht, The Netherlands
  • Arkin Institute for Mental Health, Amsterdam, The Netherlands
  • Icahn School of Medicine at Mount Sinai
  • King's College London
  • GGzE Institute for Mental Health Care, Eindhoven, the Netherlands

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
JournalInternational journal of methods in psychiatric research
Volume30
Issue number4
Early online date2021
DOIs
Publication statusPublished - Dec 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

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

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