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

Formative Evaluation of Digital Health Interventions (2816) Telehealth and Telemonitoring (1877) Human Factors and Usability Case Studies (894) Wearable Devices and Sensors (995) Mobile Health (mhealth) (3156)

Published on in Vol 6, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39954, first published .
Measuring the Usability of eHealth Solutions for Patients With Parkinson Disease: Observational Study

Measuring the Usability of eHealth Solutions for Patients With Parkinson Disease: Observational Study

Measuring the Usability of eHealth Solutions for Patients With Parkinson Disease: Observational Study

Authors of this article:

Jonas Bendig1 Author Orcid Image ;   Anja Spanz1 Author Orcid Image ;   Jana Leidig1 Author Orcid Image ;   Anika Frank1, 2 Author Orcid Image ;   Marcus Stahr1 Author Orcid Image ;   Heinz Reichmann1 Author Orcid Image ;   Kai F Loewenbrück1 Author Orcid Image ;   Björn H Falkenburger1, 2 Author Orcid Image
Article Authors Cited by (9) Tweetations (6) Metrics

Journals

  1. Andreoni G. Investigating and Measuring Usability in Wearable Systems: A Structured Methodology and Related Protocol. Applied Sciences 2023;13(6):3595 View
  2. 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
  3. Sedhed J, Johansson H, Andersson N, Åkesson E, Kalbe E, Franzén E, Leavy B. Feasibility of a novel eHealth intervention for Parkinson’s disease targeting motor-cognitive function in the home. BMC Neurology 2024;24(1) View
  4. Boege S, Milne-Ives M, Meinert E, Carroll C. Self-Management Systems for Patients and Clinicians in Parkinson Care: Protocol for an Integrated Scoping Review, Product Search, and Evaluation. JMIR Research Protocols 2024;13:e58845 View
  5. 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
  6. Chyzhyk D, Arregi M, Errazquin M, Ariceta A, Sevilla M, Álvarez R, Alberich Inchausti M. Exploring Usability of a Clinical Decision Support System for Cancer Care: A User‐Centered Study. Cancer Reports 2025;8(3) View

Conference Proceedings

  1. Kalash S, Ajaj M, Abbas N, Taleb S. 2023 Seventh International Conference on Advances in Biomedical Engineering (ICABME). Automated Early Detection of Parkinson's Disease Through Augmented Handwritten Patterns View
  2. 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
  3. Ymeri G, Maus B, Wassenburg M, Olsson C, Svenningsson P, Salvi D. 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Usability of a Mobile Application for Patients with Parkinson’s Disease View