关键词: CiteSpace literature scientometric analysis smart elderly care

Mesh : Humans Aged Quality of Life China Knowledge Databases, Factual Forecasting

来  源:   DOI:10.3390/ijerph20021086   PDF(Pubmed)

Abstract:
To reduce the burden caused by an increased elderly population and to provide efficient service resources, scholars worldwide have proposed and applied smart elderly care. This paper summarizes the hotspots of the existing literature and explores the research frontiers to ignite future research. CiteSpace software was used to conduct a scientometric analysis of high-quality literature collected from both the China National Knowledge Infrastructure (CNKI) and the Web of Science (WOS). Based on the results of the basic situation description, this article highlights six research hotspots in CNKI and 11 research themes in WOS. In addition, it offers three major evolution stages and three future research directions for smart elderly care research. This paper provides a holistic overview of the smart elderly care literature from two major global databases. The results will contribute to healthcare policy designers, practitioners, and developers by giving them comprehensive knowledge and generating strategies to enhance elderly people\'s quality of life.
摘要:
减轻老年人口增加带来的负担,提供有效率的服务资源,国内外学者纷纷提出并应用智能养老。本文总结了现有文献的研究热点,并探索了研究前沿,以点燃未来的研究。使用CiteSpace软件对从中国国家知识基础设施(CNKI)和WebofScience(WOS)收集的高质量文献进行科学计量分析。根据结果的基本情况描述,本文重点介绍了CNKI的六个研究热点和WOS的11个研究主题。此外,它为智能养老研究提供了三个主要的演进阶段和三个未来的研究方向。本文提供了来自两个主要全球数据库的智能老年人护理文献的整体概述。结果将有助于医疗保健政策设计者,从业者,和开发人员通过给他们全面的知识和生成策略来提高老年人的生活质量。
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