Literature DB >> 27086238

Symptom change trajectories during inpatient psychotherapy in routine care and their associations with long-term outcomes.

Hanne Melchior1, Holger Schulz2, Levente Kriston3, Anika Hergert4, Kerstin Hofreuter-Gätgens5, Corinna Bergelt6, Matthias Morfeld7, Uwe Koch8, Birgit Watzke9.   

Abstract

This study examined symptom change trajectories during inpatient psychotherapy and the association of these changes with long-term outcomes. In an observational multicenter study, weekly measurements of symptom severity were performed during inpatient treatment and 6 months after discharge. The symptom severity was measured using the 18-item scale of the Hamburg Modules for the Assessment of Psychosocial Health. The sample included 576 inpatients (mean age: 43.9 years; 77.6% female; main diagnoses: depressive (57.2%), adjustment (15.8%), anxiety (7.4%), and eating disorders (7.2%); mean treatment duration: 42.0 days). With empirically and clinically informed growth mixture models four subgroups of symptom change were revealed: gradual response (71%), early response (9%), delayed response (5%), and nonresponse (11%). Particularly low educational level, non-employment and chronic disorders were associated with unfavorable symptom courses (non- and delayed response). Long-term outcomes differed systematically across subgroups (p<0.001; η(2)=0.165). The patients who responded early presented the highest rates of clinically significant improvement (43.9%) from admission to follow-up. Nearly all of these patients (92.7%) showed reliable improvement. Due to the high association of symptom change trajectories with long-term outcomes, results may contribute to interventions that are tailored to the needs of patients and may foster longer lasting therapeutic effectiveness.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Depression; Follow-up; Growth mixture modeling; Repeated measurement; Symptom change trajectories

Mesh:

Year:  2016        PMID: 27086238     DOI: 10.1016/j.psychres.2016.02.046

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  6 in total

1.  Predicting the preferences for involvement in medical decision making among patients with mental disorders.

Authors:  Svea Michaelis; Levente Kriston; Martin Härter; Birgit Watzke; Holger Schulz; Hanne Melchior
Journal:  PLoS One       Date:  2017-08-24       Impact factor: 3.240

2.  Trajectories of positive, negative and general psychopathology symptoms in first episode psychosis and their relationship with functioning over a 2-year follow-up period.

Authors:  Edimansyah Abdin; Siow Ann Chong; Janhavi Ajit Vaingankar; Chao Xu Peh; Lye Yin Poon; Sujatha Rao; Swapna Verma; Mythily Subramaniam
Journal:  PLoS One       Date:  2017-11-02       Impact factor: 3.240

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.  Latent trajectories of symptom change during cognitive-behavior therapy predict post-treatment worsening of symptoms: a preliminary examination among outpatients with bulimia-spectrum eating disorders.

Authors:  Emily K Presseller; Elizabeth W Lampe; Megan L Michael; Claire Trainor; Stephanie C Fan; Adrienne S Juarascio
Journal:  Eat Weight Disord       Date:  2022-01-04       Impact factor: 3.008

5.  Predicting non-response to multimodal day clinic treatment in severely impaired depressed patients: a machine learning approach.

Authors:  Johannes Simon Vetter; Katharina Schultebraucks; Isaac Galatzer-Levy; Heinz Boeker; Annette Brühl; Erich Seifritz; Birgit Kleim
Journal:  Sci Rep       Date:  2022-03-31       Impact factor: 4.379

6.  Evaluation of a brief unguided psychological online intervention for depression: A controlled trial including exploratory moderator analyses.

Authors:  Thies Lüdtke; Stefan Westermann; Lilian K Pult; Brooke C Schneider; Gerit Pfuhl; Steffen Moritz
Journal:  Internet Interv       Date:  2018-06-28
  6 in total

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