This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2823) Wearable Devices and Sensors (996) mHealth for Wellness, Behavior Change and Prevention (3099) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1572) Focus Groups and Qualitative Research for Human Factors Research (1031) Usability of Apps and User Perceptions of mHealth (1085) Mobile Health (mhealth) (3158) Neurology and Neurosciences (224) User Needs and Competencies (374)

Published on in Vol 6, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27418, first published .
The Views and Needs of People With Parkinson Disease Regarding Wearable Devices for Disease Monitoring: Mixed Methods Exploration

The Views and Needs of People With Parkinson Disease Regarding Wearable Devices for Disease Monitoring: Mixed Methods Exploration

The Views and Needs of People With Parkinson Disease Regarding Wearable Devices for Disease Monitoring: Mixed Methods Exploration

Authors of this article:

Lorna Kenny1 Author Orcid Image ;   Kevin Moore1 Author Orcid Image ;   Clíona O' Riordan1 Author Orcid Image ;   Siobhan Fox1 Author Orcid Image ;   John Barton2 Author Orcid Image ;   Salvatore Tedesco2 Author Orcid Image ;   Marco Sica2 Author Orcid Image ;   Colum Crowe2 Author Orcid Image ;   Antti Alamäki3 Author Orcid Image ;   Joan Condell4 Author Orcid Image ;   Anna Nordström5 Author Orcid Image ;   Suzanne Timmons1 Author Orcid Image
Article Authors Cited by (23) Tweetations (12) Metrics

Journals

  1. Debelle H, Packer E, Beales E, Bailey H, Mc Ardle R, Brown P, Hunter H, Ciravegna F, Ireson N, Evers J, Niessen M, Shi J, Yarnall A, Rochester L, Alcock L, Del Din S. Feasibility and usability of a digital health technology system to monitor mobility and assess medication adherence in mild-to-moderate Parkinson's disease. Frontiers in Neurology 2023;14 View
  2. Liikkanen S, Sinkkonen J, Suorsa J, Kaasinen V, Pekkonen E, Kärppä M, Scheperjans F, Huttunen T, Sarapohja T, Pesonen U, Kuoppamäki M, Keränen T, Pani D. Feasibility and patient acceptability of a commercially available wearable and a smart phone application in identification of motor states in parkinson’s disease. PLOS Digital Health 2023;2(4):e0000225 View
  3. Tam W, Alajlani M, Abd-alrazaq A. An Exploration of Wearable Device Features Used in UK Hospital Parkinson Disease Care: Scoping Review. Journal of Medical Internet Research 2023;25:e42950 View
  4. van den Bergh R, Evers L, de Vries N, Silva de Lima A, Bloem B, Valenti G, Meinders M. Usability and utility of a remote monitoring system to support physiotherapy for people with Parkinson's disease. Frontiers in Neurology 2023;14 View
  5. Rodrigues Pereira N, Celeste L, Barros de Sales A, Mendes F, Barbosa Furia C. Usability study of a smartphone app entitled: Living with Parkinson’s disease. Heliyon 2023;9(7):e17572 View
  6. O' Shea E, Rukundo A, Foley G, Wilkinson T, Timmons S. Experiences of health service access: A qualitative interview study of people living with Parkinson's disease in Ireland. Health Expectations 2024;27(1) View
  7. LoBuono D, Shea K, Reed M, Tovar A, Leedahl S, Xu F, Mahler L, Lofgren I. The Facilitators and Barriers to Digital Health for Managing Nutrition in People With Parkinson's Disease and Their Caregivers: A Formative, Qualitative Study. Journal of Nutrition Education and Behavior 2023;55(8):553 View
  8. Thangavel G, Memedi M, Hedström K. Information and Communication Technology for Managing Social Isolation and Loneliness Among People Living With Parkinson Disease: Qualitative Study of Barriers and Facilitators. Journal of Medical Internet Research 2024;26:e48175 View
  9. Godoy Junior C, Miele F, Mäkitie L, Fiorenzato E, Koivu M, Bakker L, Groot C, Redekop W, van Deen W. Attitudes Toward the Adoption of Remote Patient Monitoring and Artificial Intelligence in Parkinson’s Disease Management: Perspectives of Patients and Neurologists. The Patient - Patient-Centered Outcomes Research 2024;17(3):275 View
  10. Esper C, Valdovinos B, Schneider R. The Importance of Digital Health Literacy in an Evolving Parkinson’s Disease Care System. Journal of Parkinson’s Disease 2024;14(s1):S181 View
  11. Sica M, Varnosfaderani O, Crowe C, Kenny L, Bocchino A, O’Flynn B, Mueller D, Tedesco S, Timmons S, Barton J. Design of a Multi-Sensors Wearable System for Continuous Home Monitoring of People With Parkinson’s. IEEE Access 2024;12:38436 View
  12. Choi S, Seo J, Hernandez M, Kitsiou S. Conversational agents in mHealth: use patterns, challenges, and design opportunities for individuals with visual impairments. Journal of Technology in Behavioral Science 2024;9(4):912 View
  13. Elbatanouny H, Kleanthous N, Dahrouj H, Alusi S, Almajali E, Mahmoud S, Hussain A. Insights into Parkinson’s Disease-Related Freezing of Gait Detection and Prediction Approaches: A Meta Analysis. Sensors 2024;24(12):3959 View
  14. Hanrahan M, Wilson C, Keogh A, Barker S, Rochester L, Brittain K, Lumsdon J, McArdle R. 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 2025;25(2):137 View
  15. Kenny L, Azizi Z, Moore K, Alcock M, Heywood S, Jonsson A, McGrath K, Foley M, Sweeney B, O’Sullivan S, Barton J, Tedesco S, Sica M, Crowe C, Timmons S. Inter-rater reliability of hand motor function assessment in Parkinson’s disease: Impact of clinician training. Clinical Parkinsonism & Related Disorders 2024;11:100278 View
  16. Sulwarajan K, Jaafar Z, Md Sari N, Hamzah S, Yusop F, Hamid S, Ghani N. A scoping review of the types and features of technology used to deliver exercise prescription and improve exercise adherence. Patient Education and Counseling 2025;131:108580 View
  17. Hirczy S, Zabetian C, Lin Y. The current state of wearable device use in Parkinson's disease: a survey of individuals with Parkinson's. Frontiers in Digital Health 2024;6 View
  18. Sarvestan J, Baker K, Del Din S. Exploring the Effect of Sampling Frequency on Real-World Mobility, Sedentary Behaviour, Physical Activity and Sleep Outcomes Measured with Wearable Devices in Rheumatoid Arthritis: Feasibility, Usability and Practical Considerations. Bioengineering 2024;12(1):18 View
  19. Jovičić S. Analysis of total RNA as a potential biomarker of Parkinson’s disease in silico. International Journal of Immunopathology and Pharmacology 2025;39 View
  20. Templeton J, Poellabauer C, Schneider S, Rahimi M, Braimoh T, Tadamarry F, Margolesky J, Burke S, Al Masry Z. Modernizing the Staging of Parkinson Disease Using Digital Health Technology. Journal of Medical Internet Research 2025;27:e63105 View
  21. Godoy Junior C, Mäkitie L, Fiorenzato E, Koivu M, Niskala J, Antonini A, Bakker L, Pilli L, Uyl-de Groot C, Redekop W, van Deen W. Diverse preferences, different solutions: Exploring remote monitoring preferences in Parkinson's disease through a discrete choice experiment. Journal of Parkinson’s Disease 2025 View
  22. Ma Y, Zhang Y, Li R, Cheng W, Wu F. The experience and perception of wearable devices in Parkinson’s disease patients: a systematic review and meta-synthesis of qualitative studies. Journal of Neurology 2025;272(5) View

Books/Policy Documents

  1. Varela-Arellano Y, Soto-Murillo M, Galván-Tejada J, Galván-Tejada C, Celaya-Padilla J, Ávila-Armenta E. X Latin American Conference on Biomedical Engineering. View