Longitudinal Predictors of Youth Functional Improvement in a Public Mental Health System

Abstract

The present study examined youth characteristics that predict level of impairment at entry into a system of care and rate of improvement over the course of service provision. Youth characteristics studied included gender, age, specific diagnostic categories, and comorbidity. A total of 2,171 youth served in a state-wide public mental health system were included in the study. Hierarchical linear modeling was used to analyze longitudinal data derived from quarterly ratings of functional status. Gender had no relationship to initial level of impairment or rate of improvement. Older youth, those with disruptive behavior disorders, and those with more than one DSM diagnosis were more impaired at system entry. Those with attentional disorders began services less impaired. Older youth improved at faster rates. Youth with a disruptive behavior disorder diagnosis improved at slower rates. Neither comorbidity nor the presence of a mood or attentional disorder affected the rate of improvement. Both researchers and systems of care developers should consider these patterns in their future work.