数字技术赋能失智症照护服务研究的热点与前沿——基于Web of Science的文献计量分析

Research Hotspots and Frontiers in Digital Technology-Enabled Dementia Care Services—A Bibliometric Analysis Based on the Web of Science

摘要: 目的：分析数字技术赋能失智症照护服务研究的知识结构、热点及前沿趋势。方法：检索Web of Science核心合集2015年1月1日至2026年7月11日发表的英文Article和Review Article，纳入2642篇文献，运用CiteSpace 6.4.R1进行文献计量与可视化分析。结果：该领域发文量总体呈增长趋势，美国发文量居首。研究形成machine learning、hearing loss、long-term care、assistive technology、family caregivers、health care和quality of life等7个聚类(Q = 0.3191, S = 0.6707)。研究热点逐渐由环境辅助生活、照护管理和技术开发，扩展至远程服务、人工智能、家庭照护者支持及生活质量评价。结论：数字技术赋能失智症照护正由技术开发向照护场景整合和人本结局评价拓展，但仍面临长期有效性证据不足、数字鸿沟、隐私保护、算法偏倚及服务整合困难。未来应加强多中心、长期和真实世界研究，评价相关技术的有效性、公平性与可持续性。

Abstract: Objective: To characterize the knowledge structure, research hotspots, and emerging frontiers of digital technology-enabled dementia care services. Methods: The Web of Science Core Collection was searched for English-language articles and review articles published between January 1, 2015, and July 11, 2026. A total of 2642 publications were included. CiteSpace 6.4.R1 was used to conduct bibliometric analyses and generate scientific knowledge maps. Results: The annual publication output showed an overall upward trend, with the United States contributing the largest number of publications. Seven major keyword clusters were identified: machine learning, hearing loss, long-term care, assistive technology, family caregivers, health care, and quality of life. The clustering solution yielded a modularity Q value of 0.3191 and a mean silhouette value of 0.6707. Research priorities have gradually shifted from ambient assisted living, care management, and technology development toward remote services, artificial intelligence, family caregiver support, and quality-of-life outcomes. Conclusions: Research on digital technology-enabled dementia care is expanding from technology development toward integration into care settings and the evaluation of person-centered outcomes. Nevertheless, important challenges remain, including limited evidence of long-term effectiveness, the digital divide, privacy concerns, algorithmic bias, and difficulties integrating technologies into care pathways. Future studies should employ multicenter, longitudinal, and real-world designs to evaluate the effectiveness, equity, and sustainability of digital technologies in dementia care.