Effect of behavioural activation for individuals with post-stroke depression: systematic review and meta-analysis.

Behavioural activation efficacy meta-analysis post-stroke depression systematic review

Journal

BJPsych open
ISSN: 2056-4724
Titre abrégé: BJPsych Open
Pays: England
ID NLM: 101667931

Informations de publication

Date de publication:
30 Jul 2024
Historique:
medline: 30 7 2024
pubmed: 30 7 2024
entrez: 30 7 2024
Statut: epublish

Résumé

Previous research showed that behavioural activation is as effective as cognitive-behavioural therapy for general depression. However, it remains unclear if it leads to greater improvement in depressive symptoms when compared with standard treatment for post-stroke depression. To compare the effectiveness of behavioural activation against control conditions in reducing depression symptoms in individuals with post-stroke depression. This review searched five databases from inception until 13 July 2021 (updated 15 September 2023) for randomised controlled trials comparing behavioural activation and any control conditions for post-stroke depression. Risk of bias was assessed with the Cochrane Collaboration's Risk-of-Bias 2 tool. The primary outcome was improvement in depressive symptoms in individuals with post-stroke depression. We calculated a random-effects, inverse variance weighting meta-analysis. Of 922 initial studies, five randomised controlled trials with 425 participants met the inclusion criteria. Meta-analysis showed that behavioural activation was associated with reduced depressive symptoms in individuals with post-stroke depression at 6-month follow-up (Hedges' Evidence from this review was too little to confirm the effectiveness of behavioural activation as a useful treatment for post-stroke depression when compared with control conditions. Further high-quality studies are needed to conclusively establish the efficacy of behavioural activation as a treatment option for post-stroke depression.

Sections du résumé

BACKGROUND BACKGROUND
Previous research showed that behavioural activation is as effective as cognitive-behavioural therapy for general depression. However, it remains unclear if it leads to greater improvement in depressive symptoms when compared with standard treatment for post-stroke depression.
AIMS OBJECTIVE
To compare the effectiveness of behavioural activation against control conditions in reducing depression symptoms in individuals with post-stroke depression.
METHOD METHODS
This review searched five databases from inception until 13 July 2021 (updated 15 September 2023) for randomised controlled trials comparing behavioural activation and any control conditions for post-stroke depression. Risk of bias was assessed with the Cochrane Collaboration's Risk-of-Bias 2 tool. The primary outcome was improvement in depressive symptoms in individuals with post-stroke depression. We calculated a random-effects, inverse variance weighting meta-analysis.
RESULTS RESULTS
Of 922 initial studies, five randomised controlled trials with 425 participants met the inclusion criteria. Meta-analysis showed that behavioural activation was associated with reduced depressive symptoms in individuals with post-stroke depression at 6-month follow-up (Hedges'
CONCLUSIONS CONCLUSIONS
Evidence from this review was too little to confirm the effectiveness of behavioural activation as a useful treatment for post-stroke depression when compared with control conditions. Further high-quality studies are needed to conclusively establish the efficacy of behavioural activation as a treatment option for post-stroke depression.

Identifiants

pubmed: 39078076
doi: 10.1192/bjo.2024.721
pii: S205647242400721X
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

e134

Auteurs

Engida Yisma (E)

Department of Rural Health, University of South Australia, Allied Health & Human Performance, Australia; and IIMPACT in Health, University of South Australia, Australia.

Sandra Walsh (S)

Department of Rural Health, University of South Australia, Allied Health & Human Performance, Australia; and IIMPACT in Health, University of South Australia, Australia.

Susan Hillier (S)

IIMPACT in Health, University of South Australia, Australia.

Marianne Gillam (M)

Department of Rural Health, University of South Australia, Allied Health & Human Performance, Australia; and IIMPACT in Health, University of South Australia, Australia.

Richard Gray (R)

Department of Rural Health, University of South Australia, Allied Health & Human Performance, Australia; and School of Nursing and Midwifery, La Trobe University, Australia.

Martin Jones (M)

Department of Rural Health, University of South Australia, Allied Health & Human Performance, Australia; and IIMPACT in Health, University of South Australia, Australia.

Classifications MeSH