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Treating depression in Muslim communities: Meta-analysis of three trials of culturally adapted behavioural activation for Muslims (BA-M)

Journal
Global mental health (Cambridge, England) (Q1)
Published
11 June 2026
Study design
Systematic review / meta-analysis of RCTs
Evidence level
Level 1, High (CEBM 1a)
Authors
Ghazala Mir, Robert West, Evrim Anik, Shaista Meer, Saima Dawood, Nazish Habib
PMID
42553194
DOI
10.1017/gmh.2026.10245

Why clinicians should know about it

  • Picked for Health Policy (top studies of the week, 9 August 2026).

Abstract

Faith-sensitive depression therapies address a core aspect of cultural values but are not specifically promoted within global mental health policy. This study evaluated a culturally adapted Behavioural Activation intervention for Muslim patients (BA-M) compared with standard treatments across diverse settings. A patient-level meta-analysis combined data from two randomised controlled trials and one feasibility trial, comparing BA-M with cognitive behavioural therapy (CBT) and, in the UK, social interventions. The primary outcome was post-treatment depression severity (PHQ-9) and retention was analysed using Poisson regression alongside qualitative evaluation. A total of 266 participants were recruited (Turkey: 22; Pakistan: 103; UK: 141), with no baseline differences in depression severity between groups. BA-M produced significantly greater reductions in PHQ-9 scores, with an adjusted mean difference of -2.72 (95% CI: -3.93 to -1.51). Engagement was also higher in BA-M (IRR: 1.30; 95% CI: 1.18-1.44). Qualitative findings (n = 66) indicated strong support among patients, therapists and service managers, highlighting increased patient motivation and engagement in both Muslim majority and minority contexts. Participants emphasised the importance of religious identity in recovery from depression. The faith-adapted therapy BA-M demonstrates superior effectiveness to CBT and social interventions, supporting the integration of faith-sensitive approaches into global mental health practice.

Abstract as published, via PubMed.

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For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.