A Viewpoint on Wearable Technology-Enabled Measurement of Wellbeing and Health-Related Quality of Life in Parkinson’s Disease
| Autor: | Eros Bresolin, Janet M.T. van Uem, Tom Isaacs, Dina Salkovic, Walter Maetzler, Alan Lewin, Alberto J. Espay, Helen Matthews |
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| Rok vydání: | 2016 |
| Předmět: |
Male
Emerging technologies media_common.quotation_subject Monitoring Ambulatory Wearable computer Review 03 medical and health sciences Cellular and Molecular Neuroscience wearable devices wellbeing 0302 clinical medicine Quality of life (healthcare) Adaptation Psychological Humans Relevance (information retrieval) Quality (business) ddc:610 030212 general & internal medicine Function (engineering) Exercise Wearable technology media_common Aged 80 and over Data collection business.industry Parkinson Disease Body fixed sensors Middle Aged Mobile Applications Data science 3. Good health health-related quality of life Parkinson’s disease Quality of Life Neurology (clinical) psychology [Parkinson Disease] Sleep business Psychology Social psychology 030217 neurology & neurosurgery |
| Zdroj: | Journal of Parkinson's Disease 6(2), 279-287 (2016). doi:10.3233/JPD-150740 Journal of Parkinson's Disease |
| ISSN: | 1877-718X 1877-7171 |
| DOI: | 10.3233/jpd-150740 |
| Popis: | In this viewpoint, we discuss how several aspects of Parkinson’s disease (PD) – known to be correlated with wellbeing and health-related quality of life–could be measured using wearable devices (‘wearables’). Moreover, three people with PD (PwP) having exhaustive experience with using such devices write about their personal understanding of wellbeing and health-related quality of life, building a bridge between the true needs defined by PwP and the available methods of data collection. Rapidly evolving new technologies develop wearables that probe function and behaviour in domestic environments of people with chronic conditions such as PD and have the potential to serve their needs. Gathered data can serve to inform patient-driven management changes, enabling greater control by PwP and enhancing likelihood of improvements in wellbeing and health-related quality of life. Data can also be used to quantify wellbeing and health-related quality of life. Additionally these techniques can uncover novel more sensitive and more ecologically valid disease-related endpoints. Active involvement of PwP in data collection and interpretation stands to provide personally and clinically meaningful endpoints and milestones to inform advances in research and relevance of translational efforts in PD. |
| Databáze: | OpenAIRE |
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