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Interpersonal distress as a criterion for personalizing depression therapy.
Juan Martín Gómez Penedo1, Galit Peysachov2, Anna Babl3
1Clinical Psychology Department, University of Kassel.
Journal of Counseling Psychology
|February 20, 2025
Summary
Supportive Expressive Treatment (SET) is more effective than Supportive Treatment (ST) for depression patients with high interpersonal distress, improving therapeutic alliance and outcomes. This highlights the need for personalized depression treatment strategies.
Area of Science:
- Psychiatry
- Clinical Psychology
- Psychotherapy Research
Background:
- Depression treatment efficacy can be influenced by patient characteristics.
- Interpersonal distress is a common issue in patients with depression.
- Personalized treatment approaches may enhance therapeutic outcomes.
Purpose of the Study:
- To investigate interpersonal distress as a moderator in depression treatment.
- To compare the effects of Supportive Treatment (ST) and Supportive Expressive Treatment (SET) on therapeutic alliance and outcomes.
- To explore personalized intervention strategies for depression.
Main Methods:
- Randomized controlled trial with 100 depressed patients receiving 16 sessions of ST or SET.
- Baseline assessment of interpersonal problems.
- Measurement of therapy outcome and therapeutic alliance via patient self-report.
- Analysis using interactive three-level mixed effect models.
Main Results:
- Significant interaction between treatment type and baseline interpersonal problems on outcome and alliance.
- Patients with higher interpersonal problems showed greater improvement with SET compared to ST.
- SET led to greater reduction in depressive severity and improved alliance in this subgroup.
Conclusions:
- Interpersonal distress moderates the effectiveness of ST versus SET in depression.
- SET may be a more suitable intervention for depressed patients with significant interpersonal problems.
- Baseline assessment of interpersonal distress can inform personalized depression treatment decisions.
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