Abstract
Wearable devices can capture objective day-to-day data about Parkinson’s Disease (PD). This study aims to assess the feasibility of implementing wearable technology to collect data from multiple sensors during the daily lives of PD patients. The Parkinson@home study is an observational, two-cohort (North America, NAM; The Netherlands, NL) study. To recruit participants, different strategies were used between sites. Main enrolment criteria were self-reported diagnosis of PD, possession of a smartphone and age≥18 years. Participants used the Fox Wearable Companion app on a smartwatch and smartphone for a minimum of 6 weeks (NAM) or 13 weeks (NL). Sensor-derived measures estimated information about movement. Additionally, medication intake and symptoms were collected via self-reports in the app. A total of 953 participants were included (NL: 304, NAM: 649). Enrolment rate was 88% in the NL (n = 304) and 51% (n = 649) in NAM. Overall, 84% (n = 805) of participants contributed sensor data. Participants were compliant for 68% (16.3 hours/participant/day) of the study period in NL and for 62% (14.8 hours/participant/day) in NAM. Daily accelerometer data collection decreased 23% in the NL after 13 weeks, and 27% in NAM after 6 weeks. Data contribution was not affected by demographics, clinical characteristics or attitude towards technology, but was by the platform usability score in the NL (χ2 (2) = 32.014, p<0.001), and self-reported depression in NAM (χ2(2) = 6.397, p = .04). The Parkinson@home study shows that it is feasible to collect objective data using multiple wearable sensors in PD during daily life in a large cohort.
Highlights
Parkinson’s Disease (PD) is a common neurodegenerative disease in which patients experience both motor and non-motor symptoms[1]
The high compliance in this study shows that it is feasible for people with PD to use this wearable platform in a real-world environment for many months
Despite the potential influence of age, gender and PD-related impairment on compliance, our results showed that overall disease severity, MDS-UPDRS scores, independency level or cognitive impairment, did not influence compliance, which suggests that this platform could be used by most PD patients
Summary
Parkinson’s Disease (PD) is a common neurodegenerative disease in which patients experience both motor and non-motor symptoms[1]. Treatment is primarily based on the management of symptoms by increasing dopamine levels through pharmacological therapy or surgery[2, 3]. Non-pharmacological therapies, such as physiotherapy, occupational therapy or speech therapy, are available to support patients[4]. Good results in the management of motor symptoms have been achieved, in the early stages of the disease[5, 6], two major problems hamper long-term treatment. Current pharmacological therapy is successful for a limited period. Most patients develop unmanageable motor complications that can lead to worsening of quality of life[7]. More detailed, objective and reliable measures during daily living could potentially improve the management of PD
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