Primary care detection of cognitive impairment leveraging health and consumer technologies in underserved US communities: protocol for a pragmatic randomised controlled trial of the MyCog paradigm.

Primary care detection of cognitive impairment leveraging health and consumer technologies in underserved US communities: protocol for a pragmatic randomised controlled trial of the MyCog paradigm.
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DOI:
10.1136/bmjopen-2023-080101
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发表时间:
2023-10-18
期刊:
影响因子:
2.9
通讯作者:
Wolf, Michael
Wolf, Michael
中科院分区:
医学3区
文献类型:
--
作者:
Lovett, Rebecca;Bonham, Morgan;Benavente, Julia Yoshino;Hosseinian, Zahra;Byrne, Greg J.;Diaz, Maria Varela;Bass, Michael;Yao, Lihua;Adin-Cristian, Andrei;Batio, Stephanie;Kim, Minjee;Sluis, Amanda;Moran, Margaret;Buchanan, David R.;Hunt, Justin;Young, Stephanie R.;Gershon, Richard;Nowinski, Cindy;Wolf, Michael

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早期识别认知障碍(CI),包括阿尔茨海默病和相关痴呆(ADRD),是公共卫生的首要任务。然而,CI/ADRD在初级保健环境中和在健康状况不同的人群中往往未被发现和诊断不足。MyCog范式是一种基于iPad的、自我管理的、经过验证的认知评估,基于美国国立卫生研究院(NIH)工具箱认知电池,并结合临床医生决策支持工具,专为在不同的初级保健环境中检测CI/ADRD而量身定做。我们将在不同地理位置的橡树街健康中心进行一项双臂初级保健实践随机(N=24项实践;拟议实践中的45 257名活跃患者)的务实试验,以测试MyCog范式的有效性,与常规护理相比,MyCog范式在低社会经济、黑人和西班牙裔老年人中改善CI/ADRD的早期发现。随机分配到干预组的参与实践将在3年的实施期内将MyCog范例作为新的护理标准;作为年度健康访问的认知组件,以及任何患者/告密者报告或医疗保健提供者怀疑的认知关切。发现(认知测试建议损害)和/或诊断(相关的国际疾病分类-9/10[ICD-9/10]代码)认知缺陷、损害或痴呆(包括ADRD)的比率将是我们在不同武器之间进行比较的主要研究结果。次要结果将包括ADRD的严重程度(即轻度或后期)、与认知相关的转介率以及家庭成员或照顾者参与ADRD护理计划的比率。我们将使用广义线性混合模型来说明集群研究设计。二次模型将根据主题、诊所或访问的特定特征进行调整。我们将使用混合方法来检查MyCog范式的保真度和成本效益。Advarra的机构审查委员会已经批准了研究方案(Pro00064339)。研究结果将发表在同行评议的期刊上,摘要将提供给该研究的资助者。NCT05607732。
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