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临床表现 临床表现

Melanie J Miller1, Naomi Saito2, Catherine C Conti1

  • 1Northern California Institute for Research and Education (NCIRE), San Francisco, CA, USA.

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概括
此摘要是机器生成的。

一种新的数字方法成功地招募并选了老年人,包括那些患有轻度认知障碍 (MCI) 的老年人,用于阿尔茨海默病 (AD) 观察研究. 远程评估有效地确定了潜在认知障碍的个体,以便进一步进行临床评估.

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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:

  • 可扩展的招聘方法对于阿尔茨海默病 (AD) 观察研究和临床试验至关重要,特别是对于轻度认知障碍 (MCI) 的老年人.
  • 传统的招聘策略在有效地接触和招募这一特定的人口群体时经常面临挑战.
  • 评估了一种新的数字方法在招募和查阿尔茨海默病神经成像计划 (ADNI4) 的参与者的可行性.

研究的目的:

  • 评估新型数字战略的可行性,以招募和选老年人参加AD研究.
  • 为了确定是否远程,无监督的数字评估可以有效地识别可能有认知障碍的个人.
  • 适应数字招聘和评估方法,以便在AD研究中得到更广泛的应用.

主要方法:

  • 利用有针对性的数字广告将ADNI网站附近的老年人引导到一个招聘网站.
  • 参与者完成了远程,无监督的数字调查和Novoic Storyteller基于语音的认知测试.
  • 数字评估的结果优先考虑了潜在的MCI或痴呆症患者在ADNI地点进行临床查.

主要成果:

  • 8103名参与者参加了数字队列;26%的人有ADNI排除.
  • 693人被邀请转介,313人接受,54人在ADNI地点接受了查.
  • 远程评估 (ECog12,讲故事者) 与认知障碍相关 (CDR 全球>0),表明了丰富的潜力.

结论:

  • 定制数字广告和远程,无监督的评估是可行的招聘和评估老年人,包括那些可能有认知障碍.
  • 远程评估可以有效地丰富认知障碍患者的研究队列.
  • 这种数字方法可以适应在其他AD研究和试验中招募和纵向评估.