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Feasibility and utility of a clinician dashboard from wearable and mobile application Parkinson’s disease data

机译:通过可穿戴和移动应用程序帕金森氏病数据获得临床医生仪表板的可行性和实用性

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摘要

Mobile and wearable device-captured data have the potential to inform Parkinson’s disease (PD) care. The objective of the Clinician Input Study was to assess the feasibility and clinical utility of data obtained using a mobile health technology from PD patients. In this observational, exploratory study, PD participants wore a smartwatch and used the Fox Wearable Companion mobile phone app to stream movement data and report symptom severity and medication intake for 6 months. Data were analyzed using the Intel® Pharma Analytics Platform. Clinicians reviewed participants’ data in a dashboard during in-office visits at 2 weeks, 1, 3, and 6 months. Clinicians provided feedback in focus groups leading to dashboard updates. Between June and August 2017, 51 PD patients were recruited at four US sites, and 39 (76%) completed the 6-month study. Patients streamed 83,432 h of movement data from their smartwatches (91% of expected). Reporting of symptoms and medication intake using the app was lower than expected, 44% and 60%, respectively, but did not differ according to baseline characteristics. Clinicians’ feedback resulted in ten updates to the dashboard during the study period. Clinicians reported that medications and patient reported outcomes were generally discernable in the dashboard and complementary to clinical assessments. Movement, symptoms, and medication intake data were feasibly translated from the app into a clinician dashboard but there was substantial attrition rate over 6 months. Further enhancements are needed to ensure long-term patient adherence to portable technologies and optimal digital data transfer to clinicians caring for PD patients.
机译:移动设备和可穿戴设备捕获的数据有可能为帕金森氏病(PD)护理提供信息。临床医生输入研究的目的是评估使用移动医疗技术从PD患者获得的数据的可行性和临床实用性。在这项观察性,探索性研究中,PD参与者佩戴了智能手表,并使用Fox Wearable Companion手机应用程序流了运动数据并报告了症状严重程度和药物摄入情况,为期6个月。使用英特尔®药物分析平台对数据进行了分析。在2周,1、3和6个月的办公室内访问期间,临床医生在仪表板中查看了参与者的数据。临床医生在焦点小组中提供反馈,导致仪表盘更新。在2017年6月至2017年8月之间,在美国的四个地点招募了51名PD患者,其中39名(76%)完成了为期6个月的研究。患者从其智能手表流式传输了83,432 h的运动数据(占预期的91%)。使用该应用程序报告的症状和药物摄入率分别低于预期的44%和60%,但根据基线特征没有差异。临床医生的反馈意见导致研究期间仪表板有十项更新。临床医生报告说,在仪表板中通常可以分辨出药物和患者报告的结局,并且可以补充临床评估。可将移动,症状和药物摄入数据从该应用程序切实地转换到临床医生仪表板中,但6个月内的消耗率却相当可观。需要进一步增强功能,以确保患者长期遵守便携式技术,并以最佳的数字数据传输至照顾PD患者的临床医生。

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