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Comparative efficacy of non-pharmacological interventions on agitation in people with dementia: A systematic review and Bayesian network meta-analysis

Leng, Minmin, Zhao, Yajie, Wang, Zhiwen·2020·International Journal of Nursing Studies
DOI 10.1016/j.ijnurstu.2019.103489
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Abstract

Background Agitation in people with dementia is common and distressing and can lead to increased caregiver burden. However, medications often have adverse reactions and limited effectiveness. Thus, non-pharmacological interventions are being increasingly implemented. Objectives To compare and rank the efficacy of different non-pharmacological interventions in the management of agitation in people with dementia. Design Bayesian network meta-analysis. Methods A comprehensive electronic literature search was performed in five English databases and three Chinese databases to identify relevant randomized controlled trials (RCTs) that were published up to January 2019. A random-effects model was selected to conduct traditional meta-analysis to directly examine the efficacy of different non-pharmacological interventions. The consistency model was selected to conduct a network meta-analysis to evaluate the relative effects and rank probability of different non-pharmacological interventions. Results A total of 65 RCTs were included in this network meta-analysis involving 11 different non-pharmacological interventions. Network meta-analysis showed that massage therapy, animal-assisted intervention, and personally tailored intervention were associated with more substantial reductions in agitation compared with other interventions and controls. Conclusions Our study confirmed the effectiveness of non-pharmacological interventions for ameliorating agitation in people with dementia and rec…

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Metadata

Authors
Leng, M., Zhao, Y., & Wang, Z.
ORCID
Venue
International Journal of Nursing Studies
Publisher
Elsevier BV
Published
2020-02
Volume
102
Pages
103489
ISSN
0020-7489
DOI
10.1016/j.ijnurstu.2019.103489
Cited by
48
References
12
Language
en
Licence
Funders
Beijing Municipal Science and Technology Commission (D171100008217007)

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