ArticleFrontiers in neurology2023
Need for personalized monitoring of Parkinson's disease: the perspectives of patients and specialized healthcare providers.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The experience and perception of wearable devices in Parkinson's disease patients: a systematic review and meta-synthesis of qualitative studies.Journal of neurology · 2025Pooled it
- Daily-Life, Sensor-Derived Tremor Measures Are Sensitive to Progression in Early Parkinson's Disease.Annals of neurology · 2026Article
- AI-Enabled Wearables for Motor Function Assessment and Rehabilitation in Parkinson Disease: Scoping Review.Journal of medical Internet research · 2026Review
- In-person when necessary and available, remotely when possible - How telemedicine can support palliative care for persons with Parkinson's disease: a qualitative study.BMC palliative care · 2026Article
- ParCuR-A Novel AI-Enabled Gait Cueing Wearable for Patients with Parkinson's Disease.Sensors (Basel, Switzerland) · 2025Article
- Ethnographic evaluation of usability, understandability, and acceptance of the MY PD-CARE digital tool to facilitate Parkinson's disease symptom tracking and patients' and care partners' communications with the treating healthcare professional: the SELF-AWARE study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Observational
- Advancing the Integration of Digital Health Technologies in the Drug Development Ecosystem.Journal of medical Internet research · 2025Article
- A generalizable and open-source algorithm for real-life monitoring of tremor in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Diverse preferences, different solutions: Exploring remote monitoring preferences in Parkinson's disease through a discrete choice experiment.Journal of Parkinson's disease · 2025Article
- Prevalence of experienced changes in artistic and everyday creativity in people with 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
- Economic evaluation of mHealth solutions in PD: where do we stand?Neurodegenerative disease management · 2025Article
- Passive Monitoring of Parkinson Tremor in Daily Life: A Prototypical Network Approach.Sensors (Basel, Switzerland) · 2025Article
- Perspectives on digital health and advanced treatment referral in Parkinson's care among Danish neurologists: a mixed methods study.Frontiers in neurology · 2025Article
- Evaluation of a blended learning program designed to improve clinical practice skills in novice healthcare professionals caring for patients with Parkinson's disease.Clinical parkinsonism & related disorders · 2025Article
- Design and validation of an energy level diary for fatigue management in patients with post-COVID syndrome.Frontiers in rehabilitation sciences · 2025Article
- Digital biomarkers for non-motor symptoms in Parkinson's disease: the state of the art.NPJ digital medicine · 2024Review
- Assisted technology in Parkinson's disease gait: what's up?Arquivos de neuro-psiquiatria · 2024Review
- Improving naturalistic neuroscience with patient engagement strategies.Frontiers in human neuroscience · 2023Article
- Using Digital Outcomes to Measure Meaningful Aspects of Health in Clinical Trials for Parkinson's Disease: A Scoping Review.Digital biomarkersReview
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Digital tools such as wearable sensors may help to monitor Parkinson's disease (PD) in daily life. To optimally achieve the expected benefits, such as personized care and improved self-management, it is essential to understand the perspective of both patients and the healthcare providers. Objectives: We identified the motivations for and barriers against monitoring PD symptoms among PD patients and healthcare providers. We also investigated which aspects of PD were considered most important to monitor in daily life, and which benefits and limitations of wearable sensors were expected. Methods: Online questionnaires were completed by 434 PD patients and 166 healthcare providers who were specialized in PD care (86 physiotherapists, 55 nurses, and 25 neurologists). To gain further understanding in the main findings, we subsequently conducted homogeneous focus groups with patients ( Results: One third of the patients had monitored their PD symptoms in the past year, most commonly using a paper diary. Key motivations were: (1) discuss findings with healthcare providers, (2) obtain insight in the effect of medication and other treatments, and (3) follow the progression of the disease. Key barriers were: (1) not wanting to focus too much on having PD, (2) symptoms being relatively stable, and (3) lacking an easy-to-use tool. Prioritized symptoms of interest differed between patients and healthcare providers; patients gave a higher priority to fatigue, problems with fine motor movements and tremor, whereas professionals more frequently prioritized balance, freezing and hallucinations. Although both patients and healthcare providers were generally positive about the potential of wearable sensors for monitoring PD symptoms, the expected benefits and limitations varied considerably between groups and within the patient group. Conclusion: This study provides detailed information about the perspectives of patients, physiotherapists, nurses and neurologists on the merits of monitoring PD in daily life. The identified priorities differed considerably between patients and professionals, and this information is critical when defining the development and research agenda for the coming years. We also noted considerable differences in priorities between individual patients, highlighting the need for personalized disease monitoring.
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