Optimising and personalising task-shared psychosocial interventions for common mental disorders: a Bayesian component network meta-analysis of individual participant data.
Lancet PsychiatryAug 3, 2026 (epub)
Clinical ResearchPsychiatry
Davide Papola, Federico Tedeschi, Orestis Efthimiou et al.
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In 30 seconds
This Bayesian component network meta-analysis evaluated the efficacy of individual components of task-shared psychosocial interventions for common mental disorders in adults. Analyzing data from 34 RCTs involving 10,612 participants, the study found that strengthening social support, behavioral activation, and problem management provided the most significant benefits, while relaxation was detrimental.
Key findings
- Strengthening social support showed an incremental mean difference of -9.48 in symptom reduction.
- Behavioral activation had an incremental mean difference of -4.15.
- Problem management resulted in an incremental mean difference of -4.08.
- Relaxation was associated with a detrimental effect, showing an incremental mean difference of 7.97.
Why it matters
Understanding which components of psychosocial interventions are most effective can help clinicians tailor treatments for individuals with common mental disorders, potentially improving patient outcomes and resource allocation.