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Mechanism engagement as a potential evidence-based approach to personalized treatment termination.
- Source :
-
Psychotherapy Research . Jan2024, Vol. 34 Issue 1, p124-136. 13p. - Publication Year :
- 2024
-
Abstract
- Objective: This study explores whether early change on a putative mechanism maintaining symptoms can serve as a proximal indicator of response to prompt discontinuation. Method: Patients (N = 70 ; Mage = 33.74, 67% female, 74% white) with heterogeneous anxiety and depressive disorders completed a sequential multiple assignment randomized trial (SMART). Patients received 6 sessions of skill modules from the Unified Protocol and then underwent a second-stage randomization to either receive the remaining 6 sessions (Full duration) or discontinue treatment (Brief duration). All participants completed weekly self-report measures of anxiety and depressive symptoms and distress aversion for the full 12-week treatment window. We used structural equation modeling to test (1) if distress aversion demonstrated significant variability during the first-stage randomization and (2) if distress aversion during the first-stage randomization predicted second-stage changes in anxiety and depression. Results: Participants demonstrated significant variability in first-stage distress aversion. Latent distress aversion slopes significantly predicted latent second-stage anxiety slopes, whereas latent distress aversion intercepts significantly predicted latent second-stage depression slopes. Conclusions: These results suggest that early mechanism engagement may have potential as a trigger to prompt personalized termination. Shorter courses of care may reduce patient costs and increase the mental health service system's capacity. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10503307
- Volume :
- 34
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Psychotherapy Research
- Publication Type :
- Academic Journal
- Accession number :
- 175233992
- Full Text :
- https://doi.org/10.1080/10503307.2023.2168574