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

Formative Evaluation of Digital Health Interventions (2226) Wearable Devices and Sensors (825) mHealth for Wellness, Behavior Change and Prevention (2754) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1317) Focus Groups and Qualitative Research for Human Factors Research (781) Usability of Apps and User Perceptions of mHealth (902) Mobile Health (mhealth) (2777) Neurology and Neurosciences (150) User Needs and Competencies (274)

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 (13) Tweetations (12) Metrics

Journals

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  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
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  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 2024:1 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 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