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Prognostic indices with brief and standard CBT for panic disorder: I. Predictors of outcome

Published online by Cambridge University Press:  10 May 2007

MICHAEL G. T. DOW*
Affiliation:
NHS Fife, Department of Clinical Psychology, Stratheden Hospital, Cupar, Fife, UK
JUSTIN A. KENARDY
Affiliation:
Centre for National Research on Disability and Rehabilitation Medicine, and School of Psychology, University of Queensland, Brisbane, Queensland, Australia
DEREK W. JOHNSTON
Affiliation:
Department of Psychology, Kings College, University of Aberdeen, UK
MICHELLE G. NEWMAN
Affiliation:
Department of Psychology, Pennsylvania State University, PA, USA
C. BARR TAYLOR
Affiliation:
Department of Psychiatry and Behavioral Science, Stanford University School of Medicine, Stanford, CA, USA
AILEEN THOMSON
Affiliation:
Health Psychology Department, Gloucestershire Royal Hospital, Gloucester, UK
*
*Address for correspondence: Dr Michael G. T. Dow, Department of Psychology, University of Stirling, Stirling FK9 4LA, UK. (Email: mgtd1@stir.ac.uk)
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Abstract

Background

Although the effectiveness of cognitive behavioural therapy (CBT) in the management of panic disorder (PD) is now well established, there have been few studies of predictors of outcome with this patient group using clinical effectiveness trial data, a hypothesis-testing model, and a dependent measure of clinically significant change.

Method

The data for this study came from a randomized controlled trial of three forms of CBT delivery for PD with and without agoraphobia (two 6-week CBT programmes, one of which was computer assisted, and one therapist-directed 12-week CBT programme), comprising a total of 186 patients across two sites. Based on previous related research, five hypothesized predictors of post-treatment and follow-up outcome were identified and examined, using a series of bivariate and multivariate analyses.

Results

The results in general supported the hypotheses. Strength of blood/injury fears, age of initial onset of panic symptoms, co-morbid social anxieties and degree of agoraphobic avoidance were predictive of both measures of post-treatment outcome. Degree of residual social difficulties and the continued use of anxiolytics at post-treatment were also shown to predict poor outcome at the 6-month follow-up. However, strength of continuing dysfunctional agoraphobic cognitions by the end of active treatment did not predict outcome at follow-up for the sample as a whole.

Conclusions

The identification of consistent predictors of outcome with CBT has many clinical and research benefits. As CBT, however, is being delivered increasingly in a variety of brief formats, further research is required to identify moderators of response to these ‘non-standard’ treatment formats.

Information

Type
Original Article
Copyright
Copyright © Cambridge University Press 2007
Figure 0

Table 1. Results of stepwise multiple regression analyses of pretreatment predictors of post-treatment composite panic/anxiety measures

Figure 1

Table 2. Final model (Step 5) of stepwise logistic regression analysis of pretreatment predictors of clinically significant post-treatment outcome (high end-state functioning)

Figure 2

Table 3. Results of stepwise multiple regression analyses of post-treatment predictors of follow-up composite panic/anxiety measures

Figure 3

Table 4. Final model (Step 3) of stepwise logistic regression analysisa post-treatment predictors of clinically significant outcome at follow-up (high end-state functioning)