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

Wearables and MHealth Reviews (310) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (418) mHealth for Wellness, Behavior Change and Prevention (3315)

Published on in Vol 10, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33944, first published .
Use of Mobile Apps for Self-care in People With Parkinson Disease: Systematic Review

Use of Mobile Apps for Self-care in People With Parkinson Disease: Systematic Review

Use of Mobile Apps for Self-care in People With Parkinson Disease: Systematic Review

Authors of this article:

JuHee Lee1, 2 Author Orcid Image ;   Insun Yeom2 Author Orcid Image ;   Misook L Chung3, 4 Author Orcid Image ;   Yielin Kim4 Author Orcid Image ;   Subin Yoo2 Author Orcid Image ;   Eunyoung Kim2 Author Orcid Image
Article Authors Cited by (28) Tweetations (15) Metrics

Journals

  1. Petutschnig A, Reichel S, Měchurová K, Resch B. An eDiary App Approach for Collecting Physiological Sensor Data from Wearables together with Subjective Observations and Emotions. Sensors 2022;22(16):6120 View
  2. Maduraiveeran G. Nanomaterials-based portable electrochemical sensing and biosensing systems for clinical and biomedical applications. Journal of Analytical Science and Technology 2022;13(1) View
  3. Khachian A, Zeighami K, Khoubbin Khoshnazar T, Haghani H. The Effectiveness of Self-management Education Based on the Mobile Application on the Quality of Life of People with Parkinson’s Disease. Middle East Journal of Rehabilitation and Health Studies 2023;10(2) View
  4. Bernard R, Seijas V, Davis M, Volkova A, Diviani N, Lüscher J, Sabariego C. Mobile Health Self-management Support for Spinal Cord Injury: Systematic Literature Review. JMIR mHealth and uHealth 2023;11:e42679 View
  5. Lee J, Suh Y, Kim E, Yoo S, Kim Y. A Mobile App for Comprehensive Symptom Management in People With Parkinson’s Disease. CIN: Computers, Informatics, Nursing 2024;42(4):289 View
  6. Goldman J, Volpe D, Ellis T, Hirsch M, Johnson J, Wood J, Aragon A, Biundo R, Di Rocco A, Kasman G, Iansek R, Miyasaki J, McConvey V, Munneke M, Pinto S, St. Clair K, Toledo S, York M, Todaro R, Yarab N, Wallock K. Delivering Multidisciplinary Rehabilitation Care in Parkinson’s Disease: An International Consensus Statement. Journal of Parkinson’s Disease 2024;14(1):135 View
  7. Di Cesare M, Perpetuini D, Cardone D, Merla A. Machine Learning-Assisted Speech Analysis for Early Detection of Parkinson’s Disease: A Study on Speaker Diarization and Classification Techniques. Sensors 2024;24(5):1499 View
  8. Boege S, Milne-Ives M, Meinert E, Carroll C. Self-management systems for Patients and Clinicians in Parkinson’s care: Protocol for an integrated Scoping Review, Product Search and Evaluation (Preprint). JMIR Research Protocols 2024 View
  9. Alves B, Mota P, Sineiro D, Carmo R, Santos P, Macedo P, Carreira J, Madeira R, Dias S, Pereira C. MoveONParkinson: developing a personalized motivational solution for Parkinson’s disease management. Frontiers in Public Health 2024;12 View
  10. Boege S, Milne-Ives M, Ananthakrishnan A, Carroll C, Meinert E. Self-Management Systems for Patients and Clinicians in Parkinson’s Disease Care: A Scoping Review. Journal of Parkinson’s Disease 2024;14(7):1387 View
  11. Azadi H, Akbarzadeh-Totonchi M, Jahani Y, Gohari S, Khajouei R. Evaluation of mobile applications related to patients with Parkinson’s disease based on their essential features and capabilities. BMC Medical Informatics and Decision Making 2024;24(1) View
  12. 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
  13. Baudin K, Österholm J, Hellström I, Baric V, Larsson Ranada Å. Does welfare technology contribute to security, activity, participation and independence within municipal elder care? A qualitative study protocol. BMJ Open 2025;15(2):e094424 View
  14. Lee J, Yoo S, Kim Y, Kim E, Park H, Sohn Y, Kim Y, Chung S, Baik K, Kim K, Yoo J. Effect of the Yon PD App on the Management of Self-Care in People With Parkinson Disease: Randomized Controlled Trial. Journal of Medical Internet Research 2025;27:e62822 View
  15. Farooq Z, Aboakel R, Sahar R, Akhtar Z, Irshad T, Geller J. A Comparative Analysis of Effects of Rehabilitation Services on Symptomatology of Parkinson’s Disease-An Umbrella Review of Systematic Reviews and Meta-Analyses. Neurology Letters 2025;4(1):20 View
  16. Österholm J, Baric V, Hellström I, Baudin K, Larsson Ranada Å. Decision makers’ perceptions on implementing welfare technology in Swedish municipal elder care: a qualitative study. BMC Geriatrics 2025;25(1) View
  17. Khanna A, Beck J, Poston K, Schwarzschild M, Jones G. The potential of distributed diagnostics for the early detection of Parkinson's disease. Journal of Parkinson’s Disease 2025;15(3):646 View
  18. Grosjean S, Giguère L, Leach J, Mestre T, Raina P, Pai N. Empowering self-care: leveraging user insights to co-design AI-powered self-care technology for Parkinson's disease. FACETS 2025;10:1 View
  19. Munzesheimer S, Siu T, Yacinthe D, Garcia-Casals M, Haq I, Shpiner D. An Interdisciplinary Approach to Assistive Technology for Parkinson’s Disease Dementia. Clinical Interventions in Aging 2025;Volume 20:1253 View
  20. Bastardo R, Pavão J, Martins A, Silva A, Rocha N. Patient-Oriented Smart Applications to Support the Diagnosis, Rehabilitation, and Care of Patients with Parkinson’s: An Umbrella Review. Future Internet 2025;17(8):376 View
  21. Rookes T, Armstrong M, Walters K, Read J, Chesterman E, Davies N, Pigott J, Nimmons D, Ambler G, Adeleke M, Hunter R, Gardner B, Atkinson C, Schrag A, Alves da Costa C. Feasibility and Acceptability of Intervention and Trial Procedures of the UCL Live Well With Parkinson’s Self‐Management Toolkit. Parkinson's Disease 2025;2025(1) View
  22. Golob M, Mancin S, Lopane D, Coldani C, Cattani D, Dacomi A, Tomaiuolo G, Petrelli F, Cangelosi G, Cosmai S, Santagostino A, Mazzoleni B. Effects of Ketogenic Diet on Quality of Life in Parkinson Disease: An Integrative Review. Nutrients 2025;17(21):3343 View

Books/Policy Documents

  1. . Digital Technologies in Movement Disorders. View
  2. Torriani-Pasin C, Domingues V, de Freitas T, Geed S. Locomotion and Posture in Older Adults. View
  3. Khanipour-Kencha A. Self-Care in the Elderly. View
  4. Holst C, Wiegräbe F, Redecker C, Lohweg V. Künstliche Intelligenz im Einsatz für die erfolgreiche Patientenreise. View

Conference Proceedings

  1. P S, G G. 2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE). Digital Regimen for Parkinson Disease: An Informative Approach Using Mobile Application View
  2. Vieira R, Arrais A, Dias D, Soares C, Massano J, Cunha J. 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). Creating the Next Digital Telemedicine Tool for Parkinson's Disease Management with AI View