Personalized Models of Psychopathology.

idiographic multivariate time series person-specific personalized medicine precision assessment

Journal

Annual review of clinical psychology
ISSN: 1548-5951
Titre abrégé: Annu Rev Clin Psychol
Pays: United States
ID NLM: 101235325

Informations de publication

Date de publication:
07 05 2020
Historique:
pubmed: 20 2 2020
medline: 31 8 2021
entrez: 20 2 2020
Statut: ppublish

Résumé

The personalized approach to psychopathology conceptualizes mental disorder as a complex system of contextualized dynamic processes that is nontrivially specific to each individual, and it seeks to develop formal idiographic statistical models to represent these individual processes. Although the personalized approach draws on long-standing influences in clinical psychology, there has been an explosion of research in recent years following the development of intensive longitudinal data capture and statistical techniques that facilitate modeling of the dynamic processes of each individual's pathology. Advances are also making idiographic analyses scalable and generalizable. We review emerging research using the personalized approach in descriptive psychopathology, precision assessment, and treatment selection and tailoring, and we identify future challenges and areas in need of additional research. The personalized approach to psychopathology holds promise to resolve thorny diagnostic issues, generate novel insights, and improve the timing and efficacy of interventions.

Identifiants

pubmed: 32070120
doi: 10.1146/annurev-clinpsy-102419-125032
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

49-74

Auteurs

Aidan G C Wright (AGC)

Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA; email: aidan@pitt.edu, wcw8@pitt.edu.

William C Woods (WC)

Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA; email: aidan@pitt.edu, wcw8@pitt.edu.

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Classifications MeSH