Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, 75 Francis Street, Boston, MA 02115, United States.
School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences (MCPHS) University, 179 Longwood Ave, Boston, MA 02115, United States.
Comput Methods Programs Biomed. 2021 Nov;212:106484. doi: 10.1016/j.cmpb.2021.106484. Epub 2021 Oct 22.
BACKGROUND: Mobile health (mHealth) have significantly advanced evaluating neurocognitive functions; but, few reports have documented whether they validate neurocognitive impairments as well as paper-and-pencil neuropsychological tests. OBJECTIVE: To meta-analyze the correlation between mobile applications for neuropsychological tests and validated paper-and-pencil neuropsychological tests for evaluating neurocognitive impairments. METHOD: We used PubMed, Embase, Cochrane, Web of Science, and IEEE Explorer through January 2020 to identify studies that compared mobile applications for neuropsychological tests vs. paper-and-pencil neurophysiological tests. We used random-effects models via the DerSimonian and Laird method to extract pooled Pearson's correlation coefficients and we stratified by study design. RESULT: Nine out of 4639 screened articles (one RCT and eight prospective longitudinal case series) were included. For the observational studies, there was a statistically significant strong and direct correlation between mobile applications for neuropsychological test scores and validated paper-and-pencil neuropsychological assessment scores (r = 0.70; 95% CI 0.59, 0.79; I = 74.5%; p- heterogeneity <0.001). Stronger results were seen for the RCT (r = 0.92; 95% CI 0.77, 0.97). CONCLUSION: This meta-analysis showed a statistically significant correlation between mobile applications and the validated paper-and-pencil neuropsychological assessments analyzed for the evaluation of neurocognitive impairments.
背景:移动健康(mHealth)在评估神经认知功能方面取得了重大进展;但是,很少有报道记录它们是否像纸笔神经心理学测试一样验证神经认知障碍。 目的:对用于神经心理学测试的移动应用程序与验证的纸笔神经心理学测试评估神经认知障碍的相关性进行荟萃分析。 方法:我们使用 PubMed、Embase、Cochrane、Web of Science 和 IEEE Explorer 于 2020 年 1 月之前检索了比较用于神经心理学测试的移动应用程序与纸笔神经生理学测试的研究。我们使用 DerSimonian 和 Laird 方法的随机效应模型提取合并的 Pearson 相关系数,并按研究设计进行分层。 结果:在 4639 篇筛选出的文章中,有 9 篇(1 项 RCT 和 8 项前瞻性纵向病例系列研究)符合纳入标准。对于观察性研究,用于神经心理学测试的移动应用程序的测试分数与经过验证的纸笔神经心理学评估分数之间存在统计学上显著的强直接相关性(r=0.70;95%CI 0.59,0.79;I=74.5%;p-异质性<0.001)。RCT 的结果更强(r=0.92;95%CI 0.77,0.97)。 结论:本荟萃分析显示,用于评估神经认知障碍的移动应用程序与经过验证的纸笔神经心理学评估之间存在统计学上显著的相关性。
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