Your browser doesn't support javascript.
loading
A bayesian network meta-analysis to explore modifying factors in randomized controlled trials: what works for whom to reduce depression in nursing home residents?
Declercq, Ine J N; Leontjevas, Ruslan; Verboon, Peter; De Vriendt, Patricia; Gerritsen, Debby L; van Hooren, Susan.
Afiliación
  • Declercq IJN; Department of Primary and Community Care, Radboud University Medical Center, Gelderland, 6500 HBNijmegen, The Netherlands. ine.declercq@radboudumc.nl.
  • Leontjevas R; Faculty of Psychology, Open University of the Netherlands, Heerlen, The Netherlands. ine.declercq@radboudumc.nl.
  • Verboon P; Department of Gerontology and Frailty in Ageing (FRIA) and Mental Health and Wellbeing (MENT) Research Group, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium. ine.declercq@radboudumc.nl.
  • De Vriendt P; Department of Primary and Community Care, Radboud University Medical Center, Gelderland, 6500 HBNijmegen, The Netherlands.
  • Gerritsen DL; Faculty of Psychology, Open University of the Netherlands, Heerlen, The Netherlands.
  • van Hooren S; Faculty of Psychology, Open University of the Netherlands, Heerlen, The Netherlands.
BMC Geriatr ; 24(1): 518, 2024 Jun 14.
Article en En | MEDLINE | ID: mdl-38872075
ABSTRACT

BACKGROUND:

Reviews of depression interventions in nursing home residents resulted in positive findings. However, because of the heterogeneity of the studies, it remains unclear what works for whom. Considering moderator effects may contribute to a comprehensive understanding of depression treatment in residents. Therefore, this study aims to review depression interventions, examining moderator effects of (1) residents' factors, and (2) components specific of interventions.

METHODS:

A Bayesian network meta-analysis of randomized controlled trials primarily aimed at reducing depressive symptoms among residents was conducted. First, intervention types, e.g., exercise interventions, were compared to care as usual. Second, meta-regression analyses were conducted for moderator effects of residents' factors (i.e., severity of depressive symptoms, physical dependency, and cognitive impairment) and components identified as specific to an intervention (e.g., music, creativity, positivity).

RESULTS:

Our search across six databases resulted in 118 eligible studies 16 on neurobiological interventions, 102 on non-pharmacological interventions. Compared to care as usual, cognitive interventions, such as cognitive behavioral therapy and goal-oriented therapy, showed the strongest effects (MD = -1.00, 95% CrI [-1.40 to -0.66]). Furthermore, the severity of depressive symptoms moderated the effect of interventions (ƅ = -0.63, CrI 95% [-1.04 to -0.22]), while none of fifteen identified intervention-specific components did. In residents with a depression diagnosis, there were larger effect sizes for interventions including daily structure, psychoeducation, healthy food, creativity, positivity, and an activating/encouraging environment, whereas interventions focusing on distraction and relaxation had larger effect sizes in those residents without.

CONCLUSIONS:

By examining the moderator effects, we provided an integrative perspective on the observed variations in effects across different target groups, and components of depression interventions. This approach underscores the complex nature of interventions, emphasizing the need for continued transdisciplinary research, and the exploration of potential moderators. Future investigations should carefully assess residents' factors and choose interventions and their components accordingly.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ensayos Clínicos Controlados Aleatorios como Asunto / Teorema de Bayes / Depresión / Casas de Salud Límite: Aged / Humans Idioma: En Revista: BMC Geriatr Asunto de la revista: GERIATRIA Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ensayos Clínicos Controlados Aleatorios como Asunto / Teorema de Bayes / Depresión / Casas de Salud Límite: Aged / Humans Idioma: En Revista: BMC Geriatr Asunto de la revista: GERIATRIA Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos