title: Prediction of dose-response relations based on patient characteristics.
abstract: The recent discussion of evidence-based, adaptive treatment planning highlights the need for models for the prediction of courses of treatment response. We combine a dose-response model with growth curve modeling to determine dose-response relations for well-being, symptoms, and functioning. Hierarchical linear modeling was used to model each patient's expected course of improvement. The resulting predictions were cross-validated on two samples of psychotherapy outpatients. The results give further empirical support for the dose-response model and the phase model of psychotherapy as well as for the usefulness of patient treatment response profiling for individual treatment management.
authors.affiliation: Department of Psychology, University of Berne, Muesmattstr. 45, CH-3012 Berne 9, Switzerland. wolfgang.lutz@psy.unibe.ch
authors.forename: W
authors.initials: W
authors.lastname: Lutz
authors.forename: J
authors.initials: J
authors.lastname: Lowry
authors.forename: S M
authors.initials: SM
authors.lastname: Kopta
authors.forename: D A
authors.initials: DA
authors.lastname: Einstein
authors.forename: K I
authors.initials: KI
authors.lastname: Howard
mesh_terms: D000328:Adult; D003710:Demography; D019317:Evidence-Based Medicine; D005260:Female; D006801:Humans; D008297:Male; D001523:Mental Disorders / Q000175:diagnosis / Q000628:therapy*; D011237:Predictive Value of Tests; D011613:Psychotherapy / Q000706:statistics & numerical data*; D012720:Severity of Illness Index