Inhaltszusammenfassung

Patient-focused psychotherapy research aims to predict the course of patients' progress and outcomes in psychotherapy based on their initial characteristics and information about early change. Objective: In this study we examine two research questions: Is it possible to identify different patterns of early change and to predict them by initial characteristics of the patients? Can these patterns of change be used to predict treatment outcome as well as the length of treatment. Methods: Growth ...Patient-focused psychotherapy research aims to predict the course of patients' progress and outcomes in psychotherapy based on their initial characteristics and information about early change. Objective: In this study we examine two research questions: Is it possible to identify different patterns of early change and to predict them by initial characteristics of the patients? Can these patterns of change be used to predict treatment outcome as well as the length of treatment. Methods: Growth mixture modeling was used to identify latent classes of early change in a sample of N = 2206 outpatients from a US-counseling center. Those early change clusters were associated to initial patient characteristics and used to predict treatment outcome and length of treatment. Results: For each of three patient groups with low, medium, and severe initial impairment, four different patterns of early change were identified. Furthermore, those patterns were related to specific patient variables at intake and they were also associated with differential probabilities for treatment outcome and duration. Conclusions: The modeling of change patterns in psychotherapy can be helpful in identifying negative and positive treatment developments in an early phase of treatment. » weiterlesen» einklappen

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