ArticleTelemedicine journal and e-health : the official journal of the American Telemedicine Association2016
Body-Worn Sensors in Parkinson's Disease: Evaluating Their Acceptability to Patients.
Article in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 4 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
43 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Accuracy and Acceptability of Wrist-Wearable Activity-Tracking Devices: Systematic Review of the Literature.Journal of medical Internet research · 2022Pooled it
- Continuous home monitoring of Parkinson's disease using inertial sensors: A systematic review.PloS one · 2021Pooled it
- Patient experiences with technology enabled care across healthcare settings- a systematic review.BMC health services research · 2020Pooled it
- Wearable sensors for clinical applications in epilepsy, Parkinson's disease, and stroke: a mixed-methods systematic review.Journal of neurology · 2018Pooled it
- Heartrate variability biofeedback for migraine using a smartphone application and sensor: A randomized controlled trial.General hospital psychiatryTrial
- Continuous observation of Parkinsonian symptoms using symptom diaries & wearable accelerometry.Scientific data · 2026Article
- Remote real time digital monitoring fills a critical gap in the management of Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Systematic review of wearables assessing medication effect on motor function and symptoms in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Patient Acceptability and Technical Reliability of Wearable Devices Used for Monitoring People With Parkinson Disease: Survey Study.JMIR formative research · 2025Article
- How can patients shape digital medicine? A rapid review of patient and public involvement and engagement in the development of digital health technologies for neurological conditions.Expert review of pharmacoeconomics & outcomes research · 2025Review
- Current Implementation of Digital Health in Chronic Disease Management: Scoping Review.Journal of medical Internet research · 2024Article
- Development of a remote therapeutic monitoring platform: applications for movement disorders.Scientific reports · 2024Article
- Patient Experience and Feasibility of a Remote Monitoring System in Parkinson's Disease.Movement disorders clinical practice · 2024Observational
- Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study.JMIR formative research · 2023Article
- Analytical and clinical validity of wearable, multi-sensor technology for assessment of motor function in patients with Parkinson's disease in Japan.Scientific reports · 2023Article
- Ethical, Legal, Organisational and Social Issues of Teleneurology: A Scoping Review.International journal of environmental research and public health · 2023Article
- A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept.Healthcare (Basel, Switzerland) · 2023Article
- Safety and tolerability of adjunct non-invasive vagus nerve stimulation in people with parkinson's: a study protocol.BMC neurology · 2023Article
- Successful implementation of technology in the management of Parkinson's disease: Barriers and facilitators.Clinical parkinsonism & related disorders · 2023Review
- Remote Patient Monitoring for Neuropsychiatric Disorders: A Scoping Review of Current Trends and Future Perspectives from Recent Publications and Upcoming Clinical Trials.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundRemote monitoring of symptoms in Parkinson's disease (PD) using body-worn sensors would assist treatment decisions and evaluation of new treatments. To date, a rigorous, systematic evaluation of the acceptability of body-worn sensors in PD has not been undertaken. MATERIALS AND
methodsThirty-four participants wore bilateral wrist-worn sensors for 4 h in a research facility and then for 1 week at home. Participants' experiences of wearing the sensors were evaluated using a Likert-style questionnaire after each phase. Qualitative data were collected through free-text responses. Differences in responses between phases were assessed by using the Wilcoxon rank-sum test. Content analysis of qualitative data was undertaken. "Non-wear time" was estimated via analysis of accelerometer data for periods when sensors were stationary.
resultsAfter prolonged wearing there was a negative shift in participants' views on the comfort of the sensor; problems with the sensor's strap were highlighted. However, accelerometer data demonstrated high patient concordance with wearing of the sensors. There was no evidence that participants were less likely to wear the sensors in public. Most participants preferred wearing the sensors to completing symptom diaries.
conclusionsThe finding that participants were not less likely to wear the sensors in public provides reassurance regarding the ecological validity of the data captured. The validity of our findings was strengthened by "triangulation" of data sources, enabling patients to express their agenda and repeated assessment after prolonged wearing. Long-term monitoring with wrist-worn sensors is acceptable to this cohort of PD patients. Evaluation of the wearer's experience is critical to the development of remote monitoring technology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.