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Digital health technology for non-motor symptoms in people with Parkinson's disease : Futile or future?

van Wamelen, Daniel J. (författare)
Radboud University Medical Center,King's College London,King's College Hospital
Sringean, Jirada (författare)
Chulalongkorn University
Trivedi, Dhaval (författare)
King's College Hospital,King's College London
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Carroll, Camille B. (författare)
Plymouth University
Schrag, Anette E. (författare)
University College London
Odin, Per (författare)
Lund University,Lunds universitet,Restorative Parkinson Unit,Forskargrupper vid Lunds universitet,Lund University Research Groups
Antonini, Angelo (författare)
University of Padova
Bloem, Bastiaan R. (författare)
Radboud University Medical Center
Bhidayasiri, Roongroj (författare)
Chulalongkorn University
Chaudhuri, K. Ray (författare)
King's College Hospital,King's College London
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 (creator_code:org_t)
 
Elsevier BV, 2021
2021
Engelska.
Ingår i: Parkinsonism and Related Disorders. - : Elsevier BV. - 1353-8020. ; 89, s. 186-194
  • Forskningsöversikt (refereegranskat)
Abstract Ämnesord
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  • Introduction: There is an ongoing digital revolution in the field of Parkinson's disease (PD) for the objective measurement of motor aspects, to be used in clinical trials and possibly support therapeutic choices. The focus of remote technologies is now also slowly shifting towards the broad but more “hidden” spectrum of non-motor symptoms (NMS). Methods: A narrative review of digital health technologies for measuring NMS in people with PD was conducted. These digital technologies were defined as assessment tools for NMS offered remotely in the form of a wearable, downloadable as a mobile app, or any other objective measurement of NMS in PD that did not require a hospital visit and could be performed remotely. Searches were performed using peer-reviewed literature indexed databases (MEDLINE, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane CENTRAL Register of Controlled Trials), as well as Google and Google Scholar. Results: Eighteen studies deploying digital health technology in PD were identified, for example for the measurement of sleep disorders, cognitive dysfunction and orthostatic hypotension. In addition, we describe promising developments in other conditions that could be translated for use in PD. Conclusion: Unlike motor symptoms, non-motor features of PD are difficult to measure directly using remote digital technologies. Nonetheless, it is currently possible to reliably measure several NMS and further digital technology developments are underway to offer further capture of often under-reported and under-recognised NMS.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Neurologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Neurology (hsv//eng)

Nyckelord

Accelerometer
Non-motor symptoms
Parkinson's disease
Sensor
Wearable

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