Overcoming a Poor Early Response with Cognitive Behavioral Therapy Skills.
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| Title: | Overcoming a Poor Early Response with Cognitive Behavioral Therapy Skills. |
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| Authors: | Murphy, Samuel T. (AUTHOR), Cheavens, Jennifer S. (AUTHOR), Strunk, Daniel R. (AUTHOR) |
| Source: | Cognitive Therapy & Research. Dec2020, Vol. 44 Issue 6, p1177-1185. 9p. 1 Chart, 3 Graphs. |
| Subjects: | Cognitive therapy, Treatment effectiveness, Symptoms |
| Abstract: | Background: Early response to treatment is a robust predictor of outcome in cognitive behavioral therapy (CBT) for depression. When clients show a poor early response, therapists may understandably be concerned. We examine how early CBT skill development might be used to help inform therapists about patients' prognoses in such circumstances. Methods: In a sample of 95 clients participating in CBT for depression, we examine the role of the development of CBT skills by asking whether a client's prognosis depends not only on early response, but on its interaction with CBT skill development. Results: We found support for the hypothesized interaction in predicting posttreatment depression and anxiety symptoms. For those who experienced modest early CBT skill improvements, early symptom improvement was strongly predictive of posttreatment outcome. However, for those who experienced more substantial early CBT skill improvements, early symptom change was not as strongly related to their posttreatment symptoms. Conclusions: Our findings extend the literature on early response predicting outcome by showing that when clients experience more limited early symptom change, outcome depends considerably on the degree to which they are learning CBT skills. For clients with greater CBT skill improvements, a relatively positive treatment outcome is still common. [ABSTRACT FROM AUTHOR] |
| Copyright of Cognitive Therapy & Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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