Predictors and moderators of agreement between clinical and research diagnoses for children and adolescents.

Abstract

Diagnoses play an important role in treatment planning and monitoring, but extensive research has shown low agreement between clinician-generated diagnoses and those from structured diagnostic interviews. However, most prior studies of agreement have not used research diagnoses based on gold standard methods, and research needs to identify characteristics of diagnostically challenging clients. This study examined agreement between youth diagnoses generated through the research-based LEAD (Longitudinal, Expert, and All Data) Standard to clinician diagnoses

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