一个基于计算理论的理论分析,对中国老年社会福利制度的研究进行了分析
Agudamu1, Yingying Li2, Na Mi2
1Graduate School of Social Welfare, Sungkyunkwan University, Seoul, Republic of Korea.
Frontiers in public health
|May 13, 2025
概括
中国面临着人口老龄化挑战,到2024年,22%的人口将超过60岁. 这项研究分析了老年社会福利研究,以告知政策,确定了农村护理和供应驱动服务等关键领域,为老龄化社会提供服务.
科学领域:
- 老年学与公共政策
- 计算社会科学 计算社会科学
- 信息科学 信息科学 信息科学
背景情况:
- 到2024年,中国60岁及以上人口将达到22%,这对老年人社会福利构成了重大挑战.
- 在中国的老年护理部门,学术研究和实际政策实施之间存在着显著的差距.
研究的目的:
- 系统地分析中国的老年社会福利研究,使用计算基础理论.
- 确定和提出有针对性的政策重点,以加强中国老年人的社会福利计划.
主要方法:
- 从万芳,CNKI和CQVIP数据库中对413篇中国文章 (2014-2024) 的系统文献综述.
- 由人类分析师指导的隐性迪里克莱特分配 (LDA) 主题建模的应用,用于预处理和分析摘要.
- 通过复杂性和连贯性指标确定最佳主题,然后通过社会学概念联系来制定政策.
主要成果:
- 七个主要主题出现了:理论意义,农村老年护理,特殊群体的护理,家庭社区护理,精准护理优化,社区文化发展和供应驱动的服务.
- 提高农村老年护理和建立供应驱动的护理服务是文献中最常见的主题.
- 该研究指出,需要制定政策优先事项,以应对全球老龄化社会的复杂性,包括非传染性疾病和人工智能驱动的经济转变.
结论:
- 拟议的政策优先事项旨在加强全面的社会福利计划,利用中国的"大政府"模式进行顶级设计方法.
- 计算机辅助方法为信息科学家和政策制定者提供了一种有价值的工具,以导航大型数据集,以便有效地做出决策.
- 这项研究提供了一个数据驱动的框架,以应对中国和全球人口老龄化带来的多方面的挑战.
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