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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1738) Focus Groups and Qualitative Research for Human Factors Research (1223) Usability of Apps and User Perceptions of mHealth (1194)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30224, first published .
Digital Self-monitoring of Multiple Sclerosis: Interview Study With Dutch Health Care Providers on the Expected New Configuration of Roles and Responsibilities

Digital Self-monitoring of Multiple Sclerosis: Interview Study With Dutch Health Care Providers on the Expected New Configuration of Roles and Responsibilities

Digital Self-monitoring of Multiple Sclerosis: Interview Study With Dutch Health Care Providers on the Expected New Configuration of Roles and Responsibilities

Authors of this article:

Karine Wendrich1 Author Orcid Image ;   Lotte Krabbenborg1 Author Orcid Image
Article Authors Cited by (4) Tweetations (6) Metrics

Journals

  1. Stoll S, Litchman C, Rubin N, Rubin L, Vartanian T. Validated, Quantitative, Machine Learning-Generated Neurologic Assessment of Multiple Sclerosis Using a Mobile Application. International Journal of MS Care 2024;26(2):69 View
  2. Vacchi L, Zirone E, Strina V, Cavaletti G, Ferrarese C. Mobile Applications to Support Multiple Sclerosis Communities: The Post-COVID-19 Scenario. Telemedicine and e-Health 2024;30(6):e1615 View
  3. de Jong D, Strijbis E, Killestein J. Information from ecological momentary assessments lead to over-medicalization: Commentary. Multiple Sclerosis Journal 2024;30(8):972 View
  4. Brückner S, Sadare O, Fesl S, Scheibe M, Lang C, Gilbert S. Attitudes of healthcare professionals and researchers toward wearable and app derived patient generated health data. npj Digital Medicine 2025;8(1) View