长期护理院居民与社会辅助技术的经验和这些技术的有效性:混合方法系统审查
Marilyn Macdonald1,2, Allyson Gallant1,2, Lori Weeks1,2
1School of Nursing, Faculty of Health, Dalhousie University, Halifax, NS, Canada.
JBI evidence synthesis
|June 24, 2024
概括
社会辅助技术在改善长期护理居民的抑郁和孤独方面显示出混合的结果. 在提高福利的同时,可用性挑战和个体需求需要仔细考虑有效实施.
科学领域:
- 老年学是一门学科.
- 人与计算机的交互
- 医疗信息学 医疗信息学
背景情况:
- 全球人口老龄化需要长期护理 (LTC) 的创新解决方案.
- 在LTC中,老年人面临抑郁,孤独和社会隔离的高风险.
- 社会辅助技术 (SATs) 提供了减轻这些挑战的潜力.
研究的目的:
- 评估SATs在减少LTC居民抑郁和孤独的有效性.
- 探索LTC居民使用SAT进行社交互动的经验.
- 确定影响SAT采用和影响LTC设置的因素.
主要方法:
- 混合方法系统审查遵循JBI融合,分离的方法.
- 在多个数据库 (CINAHL,MEDLINE,Embase,PsycINFO,Scopus) 和灰色文献中进行全面的搜索.
- 包括使用SATs (例如计算机,智能手机,平板电脑) 对老年人 (≥65岁) 的研究.
主要成果:
- 包括14项研究,使用定量,定性和混合方法.
- 分析显示,抑郁或孤独得分没有显著差异;叙事发现是混合的.
- 定性综合表明,将技术与用户需求相匹配会提高福祉,但会出现不匹配.
结论:
- 像视频会议一样的SAT可以促进幸福感,但对抑郁症/孤独的定量影响是不一致的.
- 居民使用SAT面临身体和认知挑战,需要用户支持.
- 未来的SAT设计和实施必须优先考虑老年人的独特LTC需求.
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