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SUMMARY
Rationale: For persons with Parkinson's disease (PD), medical decisions are based almost exclusively on periodic in-clinic evaluations by a neurologist or a nurse. For a variety of reasons, such "snapshots" are unable to capture the actual impact of PD on the patient's functioning in their own home environment. Outpatient evaluations cannot detect rare and typically domestic events, such as falls. In addition, episodic visits are not well suited to detect changes in important lifestyle issues, such as gradual declines in physical activity.
Objective: To objectively, continuously and accurately collect detailed information on (changes in) physical activity and fall patterns among patients with PD in daily life.
Study design: Observational cohort study in 200 patients with PD, with a 12 month follow-up period.
Study population: Patients with PD (n=200), with an increased fall risk (i.e. at least one fall within the last six months).
Intervention (if applicable): This study does not include an intervention. After a baseline assessment on demographics and PD symptoms, patients will use a remote monitoring system at home (a pendant falls detector) combined with an smartphone application aimed at falls self-reporting, and an application to report medication intake for 12 months. A similar set up (i.e.Vital@Home) has been previously tested on feasibility (Dossiernummer: 2017-3382). Additionally, patients will report sleep patterns through paper-based diaries.
Main study parameters/endpoints: The main study parameters are physical activity and number of falls. They are remotely registered by the pendant falls detector.
Nature and extent of the burden and risks associated with participation, benefit and group relatedness: In this study, no invasive measurements will be performed. The participation is free of risks. Subjects could potentially benefit personally from participating in this study, as they can use the devices for free during the study and receive periodically feedback about physical activity and the occurrence of falls.
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Data sourced from clinicaltrials.gov
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