Literature DB >> 24115489

Patterns of change in different phases of outpatient psychotherapy: a stage-sequential pattern analysis of change in session reports.

Julian Rubel1, Wolfgang Lutz, Dietmar Schulte.   

Abstract

Knowledge about typical change patterns of psychotherapy patients can help to improve treatment guidelines for psychological disorders. Recent studies showed that it is possible to identify several patient subgroups with regard to their early change pattern. However, although focusing on the early phase of treatment, change patterns in later stages have hardly been investigated yet. In this study, Growth Mixture Modelling was used to identify latent change classes in different phases of therapy in a naturalistic sample of 1229 psychotherapy outpatients. Furthermore, this paper inquired into the relation between the change patterns in different phases as well as their predictive power for therapy length and outcome. Results revealed different change patterns for the three investigated phases. While in an early treatment phase, (sessions one-six) five different change patterns could be identified: the number of change classes decreased considerably over time, resulting in three patterns in the second (sessions 7-12) and two in the third phase (sessions 13-18). In each phase, by far, the biggest class showed a pattern of good progress with small/no further improvements. KEY PRACTITIONER MESSAGES: Most change in patients' progress estimates took place in an early phase of the treatment and levelled out on a relatively high level in later phases of the treatment. Substantial improvements were still present in later phases of the treatment but occurred less frequent than in early stages. Continuous outcome monitoring and feedback systems should integrate progress measures to monitor patients progress especially in the early phase of the treatment and feed the so gained information back to therapists.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Differential Change Patterns; Growth Mixture Modelling; Patient-focused Research; Session Reports; Transition Analysis

Mesh:

Year:  2013        PMID: 24115489     DOI: 10.1002/cpp.1868

Source DB:  PubMed          Journal:  Clin Psychol Psychother        ISSN: 1063-3995


  5 in total

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Authors:  Jennifer L Greenberg; Nicholas C Jacobson; Susanne S Hoeppner; Emily E Bernstein; Ivar Snorrason; Anna Schwartzberg; Gail Steketee; Katharine A Phillips; Sabine Wilhelm
Journal:  J Psychiatr Res       Date:  2022-06-08       Impact factor: 5.250

2.  Lower versus higher frequency of sessions in starting outpatient mental health care and the risk of a chronic course; a naturalistic cohort study.

Authors:  Bea Tiemens; Margot Kloos; Jan Spijker; Theo Ingenhoven; Mirjam Kampman; Gert-Jan Hendriks
Journal:  BMC Psychiatry       Date:  2019-07-24       Impact factor: 3.630

3.  How individuals change during internet-based interventions for depression: A randomized controlled trial comparing standardized and individualized feedback.

Authors:  Pavle Zagorscak; Manuel Heinrich; Johannes Bohn; Jana Stein; Christine Knaevelsrud
Journal:  Brain Behav       Date:  2019-11-27       Impact factor: 2.708

4.  Movement-based patient-therapist attunement in psychological therapy and its association with early change.

Authors:  Brian Schwartz; Julian A Rubel; Anne-Katharina Deisenhofer; Wolfgang Lutz
Journal:  Digit Health       Date:  2022-09-27

5.  How to customize a bona fide psychotherapy for generalized anxiety disorder? A two-arms, patient blinded, ABAB crossed-therapist randomized clinical implementation trial design [IMPLEMENT 2.0].

Authors:  Christoph Flückiger; Christine Wolfer; Judith Held; Peter Hilpert; Julian Rubel; Mathias Allemand; Richard E Zinbarg; Andreea Vîslă
Journal:  BMC Psychiatry       Date:  2018-04-03       Impact factor: 3.630

  5 in total

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