Literature DB >> 24652786

Validating the rapid responder construct within a practice research network.

Samuel S Nordberg1, Louis G Castonguay, Aaron J Fisher, James F Boswell, David Kraus.   

Abstract

OBJECTIVE: The present study was a replication and extension of prior work (Stulz, Lutz, Leach, Lucock, & Barkham, ) that identified multiple groups of clients in treatment with high-symptom severity and markedly different recovery trajectories (rapid/early response vs. little or no response).
METHOD: Using data collected through repeated administrations of the Depression subscale of the Treatment Outcome Package (n = 147), growth mixture modeling was employed to determine whether clients fell into discrete groups of response trajectories during 15 sessions of psychotherapy. Additionally, logistic regressions were conducted to assess possible predictors of group membership.
RESULTS: Three separate groups of treatment responders were identified: 2 high-symptom groups-rapid responders and nonresponders-and 1 low-symptom group of nonresponders. Elevated social conflict and suicidality predicted increased likelihood of membership in the high-symptom nonresponder group. Increased feelings of interpersonal hostility and better sexual functioning predicted increased likelihood of membership in the rapid responder group.
CONCLUSION: Replication of earlier results provides further evidence for the usefulness of modeling change during psychotherapy using multiple trajectories. Predictors of group membership indicate the influence of functional impairment on recovery, and support the importance of multidimensional measurement of client problems.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  growth mixture modeling; patient-focused research; prediction of change in psychotherapy; shapes of change

Mesh:

Year:  2014        PMID: 24652786     DOI: 10.1002/jclp.22077

Source DB:  PubMed          Journal:  J Clin Psychol        ISSN: 0021-9762


  4 in total

1.  Early response to cognitive behavioral therapy for body dysmorphic disorder as a predictor of outcomes.

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.  High expectancy and early response produce optimal effects in sertraline treatment for post-traumatic stress disorder.

Authors:  Belinda Graham; Natalia M Garcia; Mark S Burton; Andrew A Cooper; Peter P Roy-Byrne; Matig R Mavissakalian; Norah C Feeny; Lori A Zoellner
Journal:  Br J Psychiatry       Date:  2018-10-25       Impact factor: 9.319

3.  Quantifying and qualifying the preventive effects of acute-phase cognitive therapy: Pathways to personalizing care.

Authors:  Robin B Jarrett; Abu Minhajuddin; Jeffrey R Vittengl; Lee Anna Clark; Michael E Thase
Journal:  J Consult Clin Psychol       Date:  2015-12-14

4.  Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression.

Authors:  Wolfgang Lutz; Alice Arndt; Julian Rubel; Thomas Berger; Johanna Schröder; Christina Späth; Björn Meyer; Wolfgang Greiner; Viola Gräfe; Martin Hautzinger; Kristina Fuhr; Matthias Rose; Sandra Nolte; Bernd Löwe; Fritz Hohagen; Jan Philipp Klein; Steffen Moritz
Journal:  J Med Internet Res       Date:  2017-06-09       Impact factor: 5.428

  4 in total

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