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

机译:临床医师仪表板的可行性和效用从可穿戴和移动应用帕金森病数据

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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:移动和可穿戴设备捕获的数据有可能通知帕金森病(PD)护理。临床医生投入研究的目的是评估使用来自PD患者的移动健康技术获得的数据的可行性和临床效用。在这个观察性的探索性研究中,PD参与者戴上智能手表并使用狐狸可穿戴伴侣手机应用程序来流动数据并报告症状严重程度和药物摄入量6个月。使用英特尔®Pharma分析平台进行分析数据。临床医生在办公室访问期间在2周,1,3和6个月内审查了仪表板中的参与者数据。临床医生提供了导致仪表板更新的焦点小组的反馈。在2017年6月至8月期间,51名PD患者在四个美国招募出招募,39名(76%)完成了6个月的研究。患者从他们的智能手表流动83,432小时的运动数据(占预期的91%)。使用该应用报告症状和药物摄入量分别低于预期,44%和60%,但根据基线特征没有差异。临床医生的反馈导致学习期间仪表板上的十个更新。临床医生报告说,仪表板中通常可辨认出现药物和患者的结果,并与临床评估互补。运动,症状和药物摄入数据从应用程序中公开翻译成临床医生仪表板,但在6个月内有很大的消耗率。需要进一步的增强来确保对便携式技术的长期患者遵守,以及对PD患者的临床医生的最佳数字数据转移。

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