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在阿尔茨海默病的背景下,专注于数字认知评估的重点小组
Sophie M van der Landen1,2, Rosanne L van den Berg1,2,3, Matthijs J Keijzer1,2,4
1Alzheimer Center Amsterdam, Neurology, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Digital health
|February 13, 2025
概括
数字认知评估 (DCAs) 有助于早期发现阿尔茨海默病 (AD). 用户友好和个性化的方法是克服障碍和增加这些数字工具用于大脑健康的采用的关键.
科学领域:
- 神经科学是一个神经科学.
- 老年学是一门学科.
- 数字健康数字健康
背景情况:
- 数字认知评估 (DCAs) 显示出早期发现阿尔茨海默病 (AD) 认知衰退的前景.
- 尽管DCAs具有潜力,但其在临床实践中尚未得到广泛应用.
- 了解用户的观点对于成功集成DCAs至关重要.
研究的目的:
- 确定影响老年人和患者采用DCA的促进者和障碍.
- 探索用户对数字认知评估的动机,适用性和特征的看法.
主要方法:
- 五个焦点小组与老年人 (未受损,主观认知衰退,生物标志物确认的AD轻度认知障碍) 和他们的护理人员进行了调查.
- 三个不同的DCA向参与者介绍.
- 来自记录的焦点小组的成绩单使用专题分析进行了分析.
主要成果:
- 出现的关键主题是:测试动机 (平衡早期识别与对痴呆症的恐惧),数字测试适用性 (在家测试的方便性与缺乏个人接触) 和数字测试特征 (强调用户友好性以解决数字无能).
- 影响收养的因素在个体之间有所不同,突出了个性化策略的必要性.
- 用户友好性被认为是克服数字挑战的关键促进因素.
结论:
- 参与者承认DCAs对于认知健康监测的价值.
- 通过量身定制的战略解决个别促进者和障碍,对于促进DCA的实施至关重要.
- 优化用户体验并提供关于好处和风险的清晰沟通可以提高DCA接受度.
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