Abstract
Currently, there is an intense pursuit of pathognomonic markers and diagnostic ('risk-based') classifiers of psychiatric conditions. Commonly, the epidemiological prevalence of the condition is not factored into the development of these classifiers. By not adjusting for prevalence, classifiers overestimate the potential of their clinical utility. As valid predictive values have critical implications in public health and allocation of resources, development of clinical classifiers should account for the prevalence of psychiatric conditions in both general and high-risk populations. We suggest that classifiers are most likely to be useful when targeting enriched populations.
Original language | English |
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Pages (from-to) | 1225-1227 |
Number of pages | 3 |
Journal | Psychological Medicine |
Volume | 48 |
Issue number | 8 |
DOIs | |
State | Published - 1 Jun 2018 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© Copyright Cambridge University Press 2018Â.
Keywords
- Autism
- clinical classifiers
- negative predictive value
- positive predictive value
- prevalence rate
- psychiatric conditions
- psychosis
- risk calculators
ASJC Scopus subject areas
- Applied Psychology
- Psychiatry and Mental health