Sapienza Stefano, Tsurkalenko Olena, Giraitis Marijus, Mejia Alan Castro, Zelimkhanov Gelani, Schwaninger Isabel, Klucken Jochen
Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Luxembourg Institute of Health (LIH), Strassen, Luxembourg.
NPJ Parkinsons Dis. 2024 Aug 20;10(1):161. doi: 10.1038/s41531-024-00755-6.
This review screened 296 articles on wearable sensors for home monitoring of people with Parkinson's Disease within the PubMed Database, from January 2017 to May 2023. A three-level maturity framework was applied for classifying the aims of 59 studies included: demonstrating technical efficacy, diagnostic sensitivity, or clinical utility. As secondary analysis, user experience (usability and patient adherence) was evaluated. The evidences provided by the studies were categorized and stratified according to the level of maturity. Our results indicate that approximately 75% of articles investigated diagnostic sensitivity, i.e. correlation of sensor-data with clinical parameters. Evidence of clinical utility, defined as improvement on health outcomes or clinical decisions after the use of the wearables, was found only in nine papers. A third of the articles included reported evidence of user experience. Future research should focus more on clinical utility, to facilitate the translation of research results within the management of Parkinson's Disease.
本综述在PubMed数据库中筛选了2017年1月至2023年5月期间关于用于帕金森病患者家庭监测的可穿戴传感器的296篇文章。应用了一个三级成熟度框架对纳入的59项研究的目的进行分类：展示技术功效、诊断敏感性或临床实用性。作为次要分析，评估了用户体验（可用性和患者依从性）。根据成熟度水平对研究提供的证据进行分类和分层。我们的结果表明，约75%的文章研究了诊断敏感性，即传感器数据与临床参数的相关性。仅在9篇论文中发现了临床实用性的证据，临床实用性定义为使用可穿戴设备后健康结果或临床决策的改善。三分之一的纳入文章报告了用户体验的证据。未来的研究应更多地关注临床实用性，以促进帕金森病管理中研究结果的转化。
