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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Design and Formative Evaluation of Mobile Apps (706) Use and User Demographics of mHealth (344) Usability of Apps and User Perceptions of mHealth (993) Human Factors and Usability Case Studies (809) Usability Evaluation Case Studies (196) Mobile Health (mhealth) (2984) Formative Evaluation of Digital Health Interventions (2492) User-centred Design Case Studies (602) mHealth for Data Collection and Research (981)

Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19564, first published .
Usability of a Mobile App for Real-Time Assessment of Fatigue and Related Symptoms in Patients With Multiple Sclerosis: Observational Study

Usability of a Mobile App for Real-Time Assessment of Fatigue and Related Symptoms in Patients With Multiple Sclerosis: Observational Study

Usability of a Mobile App for Real-Time Assessment of Fatigue and Related Symptoms in Patients With Multiple Sclerosis: Observational Study

Authors of this article:

Miklos Palotai1 Author Orcid Image ;   Max Wallack1 Author Orcid Image ;   Gergo Kujbus2 Author Orcid Image ;   Adam Dalnoki2 Author Orcid Image ;   Charles Guttmann1 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

Miklos Palotai   1 , MD ;   Max Wallack   1 , MD ;   Gergo Kujbus   2 , MSc ;   Adam Dalnoki   2 , MSc ;   Charles Guttmann   1 , MD

1 Center for Neurological Imaging, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States

2 Mobilengine, Budapest, Hungary

Corresponding Author:

  • Miklos Palotai, MD
  • Center for Neurological Imaging, Department of Radiology
  • Brigham and Women’s Hospital, Harvard Medical School
  • 1249 Boylston Street
  • Boston, MA, 02215
  • United States
  • Phone: 1 617 278 0613
  • Email: palotai@bwh.harvard.edu