Socially Assistive Robots for People Living with Dementia in Long-Term Facilities: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Behavioral and psychological symptoms of dementia Dementia Neuropsychiatric symptoms Socially assistive robots Technology

Journal

Gerontology
ISSN: 1423-0003
Titre abrégé: Gerontology
Pays: Switzerland
ID NLM: 7601655

Informations de publication

Date de publication:
2023
Historique:
received: 13 11 2022
accepted: 10 02 2023
medline: 7 8 2023
pubmed: 6 3 2023
entrez: 5 3 2023
Statut: ppublish

Résumé

The purpose of our study was to explore the immediate and long-term effects of socially assistive robots (SARs) on neuropsychiatric symptoms (NPSs), behavioral and psychological symptoms of dementia (BPSD), positive emotional experiences, and social interaction in older people living with dementia. We set keywords and used Boolean operators to search the CINAHL, Cochrane Library, EMBASE, IEEE Digital Library, MEDLINE, PsycINFO, PubMed, Web of Science, Scopus, and Chinese Electronic Periodical Service from inception to February 2022 for randomized controlled trials. The Cochrane Collaboration bias assessment tool was used to assess article quality, and RevMan 5.4.1 software was used to conduct the meta-analysis. A total of 14 studies were included in the meta-analysis. SARs can help people living with dementia reduce their NPS of depression and anxiety, provide happiness from positive emotional experiences, and improve their social interaction through conversation. However, there was no significant improvement in agitation behavior, overall BPSD, or quality of life in people living with dementia. In follow-up, it was found that the effect of SRT was limited. SARs can reduce depression and increase positive emotions in people living with dementia. They may also reduce the burden on healthcare workers during the COVID-19 pandemic. This research was registered on PROSPERO CRD42020169340.

Sections du résumé

BACKGROUND AND OBJECTIVE
The purpose of our study was to explore the immediate and long-term effects of socially assistive robots (SARs) on neuropsychiatric symptoms (NPSs), behavioral and psychological symptoms of dementia (BPSD), positive emotional experiences, and social interaction in older people living with dementia.
METHODS
We set keywords and used Boolean operators to search the CINAHL, Cochrane Library, EMBASE, IEEE Digital Library, MEDLINE, PsycINFO, PubMed, Web of Science, Scopus, and Chinese Electronic Periodical Service from inception to February 2022 for randomized controlled trials. The Cochrane Collaboration bias assessment tool was used to assess article quality, and RevMan 5.4.1 software was used to conduct the meta-analysis.
RESULTS
A total of 14 studies were included in the meta-analysis. SARs can help people living with dementia reduce their NPS of depression and anxiety, provide happiness from positive emotional experiences, and improve their social interaction through conversation. However, there was no significant improvement in agitation behavior, overall BPSD, or quality of life in people living with dementia. In follow-up, it was found that the effect of SRT was limited.
CONCLUSION
SARs can reduce depression and increase positive emotions in people living with dementia. They may also reduce the burden on healthcare workers during the COVID-19 pandemic. This research was registered on PROSPERO CRD42020169340.

Identifiants

pubmed: 36871553
pii: 000529849
doi: 10.1159/000529849
pmc: PMC10407835
doi:

Types de publication

Systematic Review Meta-Analysis

Langues

eng

Sous-ensembles de citation

IM

Pagination

1027-1042

Informations de copyright

© 2023 The Author(s). Published by S. Karger AG, Basel.

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Auteurs

Chia-Jung Hsieh (CJ)

School of Nursing, College of Nursing, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.

Pei-Shan Li (PS)

School of Nursing, College of Nursing, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.
Department of Nursing, Taipei Veterans General Hospital, Taipei, Taiwan.

Chia-Hui Wang (CH)

School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.

Shu-Ling Lin (SL)

School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.

Tzu-Chi Hsu (TC)

Department of Computer Science and Information Engineering, National Ilan University, Ilan, Taiwan.

Chia-Mei Tsai Tsai (CT)

School of Nursing, College of Nursing, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.
School of Nursing, Department of Nursing, Fooyin University, Kaohsiung, Taiwan.

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