Open AccessThe Community Assessment of Psychic Experiences: Optimal cut‐off scores for detecting individuals with a psychotic disorder
Author(s) -
Jaya Edo S.,
Amelsvoort Therese,
BartelsVelthuis Agna A.,
Bruggeman Richard,
Cahn Wiepke,
Haan Lieuwe,
Kahn Rene S.,
Os Jim,
Schirmbeck Frederike,
Simons Claudia J. P.,
Lincoln Tania M.
Publication year - 2021
Publication title -
international journal of methods in psychiatric research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.275
H-Index - 73
eISSN - 1557-0657
pISSN - 1049-8931
DOI - 10.1002/mpr.1893
Subject(s) - psychosis , distress , receiver operating characteristic , psychiatry , psychology , clinical psychology , cut off , schizophrenia (object oriented programming) , bipolar disorder , odds ratio , medicine , power (physics) , physics , quantum mechanics , cognition
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.