A review of approaches and models in psychopathology conceptualization research

Nicholas R. Eaton, Laura F. Bringmann, Timon Elmer, Eiko I. Fried, Miriam K. Forbes, Ashley L. Greene, Robert F. Krueger, Roman Kotov, Patrick D. McGorry, Cristina Mei, Monika A. Waszczuk

Research output: Contribution to journalReview articlepeer-review

13 Scopus citations

Abstract

Mental disorder classification provides a definitional framework that underlies applied clinical and research efforts to understand, assess, predict, prevent and ameliorate the burden of psychopathology. Many classification frameworks exist, perhaps most notable being the ‘authoritative’ systems of the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders and the 11th revision of the International Classification of Diseases. However, numerous limitations of official classification systems have been identified, fostering the development of empirically derived, statistical and psychometric alternative classification approaches, which attempt to overcome those limitations. In this Review, we describe three such advances: transdiagnostic dimensional approaches (such as the Hierarchical Taxonomy of Psychopathology; HiTOP), network approaches and clinical staging approaches. We discuss their strengths, limitations, divergence, overlap, and scientific and clinical utility, with a focus on the potential synthesis and integration of disparate approaches towards better classification of mental disorders.

Original languageEnglish (US)
Pages (from-to)622-636
Number of pages15
JournalNature Reviews Psychology
Volume2
Issue number10
DOIs
StatePublished - Oct 2023

Bibliographical note

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© 2023, Springer Nature America, Inc.

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