Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behavior, Center of Expertise for Parkinson and Movement Disorders, Nijmegen, The Netherlands.
Philips Research-Healthcare, Eindhoven, The Netherlands.
Mov Disord Clin Pract. 2024 Oct;11(10):1223-1231. doi: 10.1002/mdc3.14169. Epub 2024 Jul 26.
Remote monitoring systems have the potential to measure symptoms and treatment effects in people with Parkinson's disease (PwP) in the home environment. However, information about user experience and long-term compliance of such systems in a large group of PwP with relatively severe PD symptoms is lacking.
The aim was to gain insight into user experience and long-term compliance of a smartwatch (to be worn 24/7) and an online dashboard to report falls and receive feedback of data.
We analyzed the data of the "Bringing Parkinson Care Back Home" study, a 1-year observational cohort study in 200 PwP with a fall history. User experience, compliance, and reasons for noncompliance were described. Multiple Cox regression models were used to identify determinants of 1-year compliance.
We included 200 PwP (mean age: 69 years, 37% women), of whom 116 (58%) completed the 1-year study. The main reasons for dropping out of the study were technical problems (61 of 118 reasons). Median wear time of the smartwatch was 17.5 h/day. The online dashboard was used by 77% of participants to report falls. Smartphone possession, shorter disease duration, more severe motor symptoms, and less-severe freezing and balance problems, but not age and gender, were associated with a higher likelihood of 1-year compliance.
The 1-year compliance with this specific smartwatch was moderate, and the user experience was generally good, except battery life and data transfer. Future studies can build on these findings by incorporating a smartwatch that is less prone to technical issues.
远程监控系统有可能在帕金森病患者（PwP）的家庭环境中测量症状和治疗效果。然而，对于这样的系统在大量具有相对严重 PD 症状的 PwP 中的用户体验和长期依从性，我们知之甚少。
旨在深入了解一款智能手表（需 24/7 佩戴）和在线仪表板报告跌倒和接收数据反馈的用户体验和长期依从性。
我们分析了“将帕金森护理带回家”研究的数据，这是一项针对有跌倒史的 200 名 PwP 的为期 1 年的观察性队列研究。描述了用户体验、依从性和不依从的原因。使用多个 Cox 回归模型来确定 1 年依从性的决定因素。
我们纳入了 200 名 PwP（平均年龄：69 岁，37%为女性），其中 116 名（58%）完成了 1 年的研究。研究退出的主要原因是技术问题（118 个原因中的 61 个）。智能手表的平均佩戴时间为 17.5 小时/天。在线仪表板被 77%的参与者用于报告跌倒。智能手机的拥有、较短的疾病持续时间、更严重的运动症状以及较轻的冻结和平衡问题，而不是年龄和性别，与 1 年的依从性更高相关。
这款特定智能手表的 1 年依从性中等，用户体验总体良好，除了电池寿命和数据传输。未来的研究可以通过使用不易出现技术问题的智能手表来建立这些发现。
