Applying a novel statistical method to advance the personalized treatment of anxiety disorders: A composite moderator of comparative drop-out from CBT and ACT. (April 2017)
- Record Type:
- Journal Article
- Title:
- Applying a novel statistical method to advance the personalized treatment of anxiety disorders: A composite moderator of comparative drop-out from CBT and ACT. (April 2017)
- Main Title:
- Applying a novel statistical method to advance the personalized treatment of anxiety disorders: A composite moderator of comparative drop-out from CBT and ACT
- Authors:
- Niles, Andrea N.
Wolitzky-Taylor, Kate B.
Arch, Joanna J.
Craske, Michelle G. - Abstract:
- Abstract: Background: No prior studies have examined moderators of dropout between distinct treatments for anxiety disorders. This study applied a novel statistical approach for examining moderators of dropout from traditional cognitive behavioral therapy (CBT) and acceptance and commitment therapy (ACT). Method: We combined data from two randomized controlled trials ( N = 208) comparing CBT and ACT for patients with DSM-IV anxiety disorders. Adapting Kraemer's method for constructing and evaluating composite moderators (2013), 26 variables were examined for individual effect sizes. Forward-stepwise regression combined with k -fold cross validation was used to identify a model to predict treatment dropout. Results: Four baseline variables comprised the final composite moderator: self-reported degree of control over internal anxiety, current psychiatric medication use, religiosity, and endurance in a voluntary hyperventilation stressor. This composite moderator predicted differential dropout from ACT vs. CBT with a medium effect size ( r = 0.28), and had a significantly larger effect size than any individual moderator. Conclusions: Findings reveal that specific patient profiles predict differential dropout from ACT vs. CBT for anxiety disorders. In the first investigation of a composite moderator with a dichotomous outcome, findings also support the superiority of composite over individual moderators. Highlights: No research exists on moderators of attrition from therapyAbstract: Background: No prior studies have examined moderators of dropout between distinct treatments for anxiety disorders. This study applied a novel statistical approach for examining moderators of dropout from traditional cognitive behavioral therapy (CBT) and acceptance and commitment therapy (ACT). Method: We combined data from two randomized controlled trials ( N = 208) comparing CBT and ACT for patients with DSM-IV anxiety disorders. Adapting Kraemer's method for constructing and evaluating composite moderators (2013), 26 variables were examined for individual effect sizes. Forward-stepwise regression combined with k -fold cross validation was used to identify a model to predict treatment dropout. Results: Four baseline variables comprised the final composite moderator: self-reported degree of control over internal anxiety, current psychiatric medication use, religiosity, and endurance in a voluntary hyperventilation stressor. This composite moderator predicted differential dropout from ACT vs. CBT with a medium effect size ( r = 0.28), and had a significantly larger effect size than any individual moderator. Conclusions: Findings reveal that specific patient profiles predict differential dropout from ACT vs. CBT for anxiety disorders. In the first investigation of a composite moderator with a dichotomous outcome, findings also support the superiority of composite over individual moderators. Highlights: No research exists on moderators of attrition from therapy for anxiety disorders. We identified baseline patient characteristics moderating dropout from ACT vs CBT. We used a novel moderator approach for creating composite moderators. We combined 4 patient characteristics to form a composite moderator of attrition. Our composite moderator had a larger effect than any individual moderator. … (more)
- Is Part Of:
- Behaviour research and therapy. Volume 91(2017)
- Journal:
- Behaviour research and therapy
- Issue:
- Volume 91(2017)
- Issue Display:
- Volume 91, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 91
- Issue:
- 2017
- Issue Sort Value:
- 2017-0091-2017-0000
- Page Start:
- 13
- Page End:
- 23
- Publication Date:
- 2017-04
- Subjects:
- Moderators -- Attrition -- Behavioral therapy -- Anxiety disorders -- Personalized medicine
Cognitive therapy -- Periodicals
Psychotherapy -- Periodicals
616.891 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00057967 ↗
http://www.elsevier.com/wps/find/journaldescription.cws_home/265/description#description ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.brat.2017.01.001 ↗
- Languages:
- English
- ISSNs:
- 0005-7967
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1876.810000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1234.xml