文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

通过智能手机进行移动健康和神经认知领域评估:一项荟萃分析。

Mobile health and neurocognitive domains evaluation through smartphones: A meta-analysis.

机构信息

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.

出版信息

Comput Methods Programs Biomed. 2021 Nov;212:106484. doi: 10.1016/j.cmpb.2021.106484. Epub 2021 Oct 22.


DOI:10.1016/j.cmpb.2021.106484
PMID:34736169
Abstract

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.

摘要

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。

相似文献

[1]
Mobile health and neurocognitive domains evaluation through smartphones: A meta-analysis.

Comput Methods Programs Biomed. 2021-11

[2]
Asynchronous mHealth Interventions in Rheumatoid Arthritis: Systematic Scoping Review.

JMIR Mhealth Uhealth. 2020-11-5

[3]
Enhancement of Neurocognitive Assessments Using Smartphone Capabilities: Systematic Review.

JMIR Mhealth Uhealth. 2020-6-24

[4]
Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years.

JMIR Mhealth Uhealth. 2021-7-21

[5]
On the efficacy of behavior change techniques in mHealth for self-management of diabetes: A meta-analysis.

J Biomed Inform. 2021-7

[6]
PROutine: a feasibility study assessing surveillance of electronic patient reported outcomes and adherence via smartphone app in advanced cancer.

Ann Palliat Med. 2019-4

[7]
Assessment of Mobile Health Apps Using Built-In Smartphone Sensors for Diagnosis and Treatment: Systematic Survey of Apps Listed in International Curated Health App Libraries.

JMIR Mhealth Uhealth. 2020-2-3

[8]
Cognitive assessment of stroke patients with mobile apps: a controlled study.

Stud Health Technol Inform. 2014

[9]
Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment.

JMIR Mhealth Uhealth. 2020-8-18

[10]
An Assessment of Physical Activity Data Collected via a Smartphone App and a Smart Band in Breast Cancer Survivors: Observational Study.

J Med Internet Res. 2019-9-6

引用本文的文献

[1]
The effect of Artificial Intelligence Health Education Accurately Linking System on childhood asthma: study protocol for a pilot randomized controlled trial.

Front Psychiatry. 2025-6-6

[2]
Criterion validity of five open-source app-based cognitive and sensory tasks in an Australian adult life course sample aged 18 to 82: Labs without walls.

Behav Res Methods. 2025-1-22

[3]
A Digital Phenotypic Assessment in Neuro-Oncology (DANO): A Pilot Study on Sociability Changes in Patients Undergoing Treatment for Brain Malignancies.

Cancers (Basel). 2025-1-4

[4]
The Validity of a Smartphone-Based Application for Assessing Cognitive Function in the Elderly.

Diagnostics (Basel). 2025-1-3

[5]
Decision making in clinical trials: Interim analyses, innovative design, and biomarkers.

Alzheimers Dement (N Y). 2023-10-18

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索