关键词: Long-term care Neurocognitive disorder Older adults Scoping review Technology

Mesh : Humans Long-Term Care / methods Neurocognitive Disorders / psychology diagnosis Aged Robotics / methods

来  源:   DOI:10.1186/s12877-024-05174-z   PDF(Pubmed)

Abstract:
BACKGROUND: To map the current state of knowledge about the use of technology with seniors with neurocognitive disorders in long-term care to foster interactions, wellness, and stimulation.
METHODS: Cumulative Index to Nursing and Allied Health Literature (CINAHL Plus); MEDLINE; PsycINFO; Embase and Web of Science were searched in eligible literature, with no limit of time, to describe the current use of technology by seniors with neurocognitive disorders in long-term care. All types of literature were considered except for theses, editorial, social media. This scoping review was built around the recommendations of Peters et al. (2020 version). Three researchers collaborated on the selection of articles and independently reviewed the papers, based on the eligibility criteria and review questions.
RESULTS: The search yielded 3,605 studies, of which 39 were included. Most technology type reported was robotics. Included studies reports different positive effects on the use of such technology such as increase of engagement and positive.
CONCLUSIONS: The study highlights different types and potential benefits of technology for long-term care residents with neurocognitive disorders, emphasizing the crucial need for additional research to refine interventions and their use.
摘要:
背景:为了绘制有关长期护理中患有神经认知障碍的老年人使用技术的当前知识状态,以促进互动,健康,和刺激。
方法:护理和相关健康文献的累积指数(CINAHLPlus);MEDLINE;PsycINFO;Embase和WebofScience在符合条件的文献中搜索,没有时间限制,描述长期护理中患有神经认知障碍的老年人目前对技术的使用情况。考虑了所有类型的文献,除了论文,社论,社交媒体。这项范围审查是围绕Peters等人的建议而建立的。(2020年版)。三名研究人员合作选择文章,并独立审查论文,根据资格标准和审查问题。
结果:搜索产生了3,605项研究,其中包括39个。报道的大多数技术类型是机器人技术。纳入的研究报告了对使用这种技术的不同积极影响,如增加参与度和积极作用。
结论:该研究强调了技术对患有神经认知障碍的长期护理居民的不同类型和潜在益处,强调迫切需要更多的研究来完善干预措施及其使用。
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