Suppr超能文献

使用智能手机应用程序评估帕金森病患者的步态和平衡:系统评价。

Gait and Balance Assessments using Smartphone Applications in Parkinson's Disease: A Systematic Review.

机构信息

Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.

Department of Rehabilitation Science, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

出版信息

J Med Syst. 2021 Aug 15;45(9):87. doi: 10.1007/s10916-021-01760-5.

Abstract

Gait dysfunctions and balance impairments are key fall risk factors and associated with reduced quality of life in individuals with Parkinson's Disease (PD). Smartphone-based assessments show potential to increase remote monitoring of the disease. This review aimed to summarize the validity, reliability, and discriminative abilities of smartphone applications to assess gait, balance, and falls in PD. Two independent reviewers screened articles systematically identified through PubMed, Web of Science, Scopus, CINAHL, and SportDiscuss. Studies that used smartphone-based gait, balance, or fall applications in PD were retrieved. The validity, reliability, and discriminative abilities of the smartphone applications were summarized and qualitatively discussed. Methodological quality appraisal of the studies was performed using the quality assessment tool for observational cohort and cross-sectional studies. Thirty-one articles were included in this review. The studies present mostly with low risk of bias. In total, 52% of the studies reported validity, 22% reported reliability, and 55% reported discriminative abilities of smartphone applications to evaluate gait, balance, and falls in PD. Those studies reported strong validity, good to excellent reliability, and good discriminative properties of smartphone applications. Only 19% of the studies formally evaluated the usability of their smartphone applications. The current evidence supports the use of smartphone to assess gait and balance, and detect freezing of gait in PD. More studies are needed to explore the use of smartphone to predict falls in this population. Further studies are also warranted to evaluate the usability of smartphone applications to improve remote monitoring in this population.Registration: PROSPERO CRD 42020198510.

摘要

步态障碍和平衡障碍是帕金森病(PD)患者跌倒的主要风险因素,与生活质量下降有关。基于智能手机的评估显示出增加疾病远程监测的潜力。本综述旨在总结智能手机应用程序评估 PD 患者步态、平衡和跌倒的有效性、可靠性和区分能力。两位独立审查员通过 PubMed、Web of Science、Scopus、CINAHL 和 SportDiscuss 系统地筛选文章。检索了使用基于智能手机的步态、平衡或跌倒应用程序评估 PD 的研究。总结并定性讨论了智能手机应用程序的有效性、可靠性和区分能力。使用观察性队列和横断面研究的质量评估工具对研究的方法学质量进行评估。本综述共纳入 31 篇文章。研究大多存在低偏倚风险。总的来说,52%的研究报告了有效性,22%报告了可靠性,55%报告了智能手机应用程序评估 PD 患者步态、平衡和跌倒的区分能力。这些研究报告了智能手机应用程序具有较强的有效性、良好到优秀的可靠性和良好的区分性能。只有 19%的研究正式评估了他们的智能手机应用程序的可用性。目前的证据支持使用智能手机评估 PD 患者的步态和平衡,并检测冻结步态。需要更多的研究来探索在该人群中使用智能手机预测跌倒的情况。还需要进一步的研究来评估智能手机应用程序的可用性,以改善该人群的远程监测。注册:PROSPERO CRD 42020198510。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59a7/8364438/b5f79af84924/10916_2021_1760_Fig1_HTML.jpg

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

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验