Clinical Features of Psychotic Disorders: Comparing Categorical and Dimensional Models.

ABSTRACT:

Objective

Despite research demonstrating the value of dimensional approaches, standard systems for classifying psychotic disorders rely primarily on categorization of patients into distinct diagnoses. We present the first study comparing analyses of dimensional features, categories, and standard diagnoses, all derived from the same sample.

Methods

Using symptom ratings from 934 patients hospitalized for psychosis, we examined dimensional models, fit using factor analysis, categorical models, fit to factor-based scores from the dimensional model, and their correspondence with DSM-defined diagnoses. We compared the ability of each model to discriminate patients' assignment to medication regimen as a clinical validator.

Results

Dimensional modeling identified four factor

SUBMITTER: Ravichandran C 

PROVIDER: S-EPMC9175900 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature