Cargando…
The Community Assessment of Psychic Experiences: Optimal cut‐off scores for detecting individuals with a psychotic disorder
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...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633944/ https://www.ncbi.nlm.nih.gov/pubmed/34464487 http://dx.doi.org/10.1002/mpr.1893 |
Sumario: | 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. |
---|