title: Behavioral change trajectories of partial hospitalization children.
abstract: Forecasting treatment outcomes is essential to improving service delivery. Hierarchical linear modeling was used to construct behavioral change trajectories and help predict treatment responsiveness for 97 partial hospitalization children. Overall, children evidenced statistically significant improvement in psychiatric symptomatology. Younger age, female gender, number of previous out-of-home placements, and lower IQ scores were associated with increased psychopathology and poorer treatment response. Properly configured day treatment can provide an effective organizing platform for implementing complex treatment regimes.
authors.affiliation: Department of Justice Studies, Kent State University, and Beech Brook, Cleveland, Ohio 44242-0001, USA. dhussey@kent.edu
authors.forename: David L
authors.initials: DL
authors.lastname: Hussey
authors.forename: Shenyang
authors.initials: S
authors.lastname: Guo
mesh_terms: D000293:Adolescent; D001521:Behavior Therapy / Q000379:methods; D002648:Child; D002653:Child Behavior Disorders / Q000175:diagnosis / Q000453:epidemiology* / Q000523:psychology; D002675:Child, Preschool; D005260:Female; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D007360:Intelligence; D007361:Intelligence Tests; D008297:Male; D001523:Mental Disorders / Q000453:epidemiology* / Q000523:psychology / Q000534:rehabilitation*; D015588:Observer Variation; D011446:Prospective Studies; D012189:Retrospective Studies; D016896:Treatment Outcome