Literature DB >> 25751744

Using the Assessment for Signal Clients as a feedback tool for reducing treatment failure.

Melissa M White1, Michael J Lambert1, Benjamin M Ogles1, Stevie B Mclaughlin1, Russell J Bailey2, K Morgan Tingey1.   

Abstract

OBJECTIVE: The Clinical Support Tools (CSTs) were developed to help therapists organize and target potential problems that might account for negative outcomes in psychotherapy. The core of CST feedback is the Assessment for Signal Clients. The purpose of this study was to describe and identify patterns of problems that typically characterize off-track cases.
METHOD: The responses and scores from 107 off-track clients from a hospital-based outpatient clinic were analyzed.
RESULTS: A cluster analysis of the 107 off-track clients revealed three client types: those whose problems were characterized by alliance and motivational difficulties; those characterized by social support and life event difficulties; and those whose problems had an indistinguishable pattern. Log-linear modeling showed that if patients had less therapeutic alliance problems they were also less likely to have motivational problems. Findings were also consistent with the cluster analysis, which showed that a relatively higher percentage of not-on-track participants received signal alerts for the social support items and scale.
CONCLUSIONS: Individuals whose progress goes off-track while in psychotherapy appear to have their greatest difficulty with social support, followed closely by motivation for therapy and therapeutic alliance.

Entities:  

Keywords:  Assessment for Signal Clients; progress feedback; psychotherapy outcome; therapeutic alliance; treatment failure

Mesh:

Year:  2015        PMID: 25751744     DOI: 10.1080/10503307.2015.1009862

Source DB:  PubMed          Journal:  Psychother Res        ISSN: 1050-3307


  1 in total

1.  Why do patients go off track? Examining potential influencing factors for being at risk of psychotherapy treatment failure.

Authors:  Viola N L S Schilling; Dirk Zimmermann; Julian A Rubel; Kaitlyn S Boyle; Wolfgang Lutz
Journal:  Qual Life Res       Date:  2020-10-21       Impact factor: 4.147

  1 in total

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