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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1319) Design and Formative Evaluation of Mobile Apps (665) Use and User Demographics of mHealth (314) Usability of Apps and User Perceptions of mHealth (903) Human Factors and Usability Case Studies (750) Usability Evaluation Case Studies (182) Mobile Health (mhealth) (2781) Formative Evaluation of Digital Health Interventions (2231) User-centred Design Case Studies (565) mHealth for Data Collection and Research (918)

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

Journals

  1. Mokhberdezfuli M, Ayatollahi H, Naser Moghadasi A, Taiar R. A Smartphone-based Application for Self-Management in Multiple Sclerosis. Journal of Healthcare Engineering 2021;2021:1 View
  2. Palotai M, Pintye D, Glanz B, Chitnis T, Guttmann C. Fronto‐striatal damage may contribute to resistance to fatigue‐lowering medications in multiple sclerosis. Journal of Neuroimaging 2023;33(2):269 View
  3. Salimzadeh Z, Damanabi S, Ferdousi R, Shaafi S, Kalankesh L. A mobile app (IDoThis) for multiple sclerosis self-management: development and initial evaluation. BMC Medical Informatics and Decision Making 2022;22(1) View
  4. Mäcken J, Wiegand M, Müller M, Krawinkel A, Linnebank M. A Mobile App for Measuring Real Time Fatigue in Patients with Multiple Sclerosis: Introducing the Fimo Health App. Brain Sciences 2021;11(9):1235 View
  5. Howard Z, Win K, Guan V. Mobile apps used for people living with multiple sclerosis: A scoping review. Multiple Sclerosis and Related Disorders 2023;73:104628 View
  6. Giovannoni G, Alvarez E, Tutton E, Hoffmann O, Xu Y, Vermersch P, Oreja-Guevara C, Trojano M, Gold R, Robles-Cedeño R, Khwaja M, Stadler B, Vandercappellen J, Ziemssen T. Development and usability testing of your MS questionnaire: A patient-based digital tool to monitor symptoms of multiple sclerosis. DIGITAL HEALTH 2023;9:205520762311735 View
  7. Chu V, Payne S, Hunter M, Reynolds S. Development of a phone application for assessing fatigue levels in rare disorders: a feasibility and validity study. Journal of Rare Diseases 2023;2(1) View
  8. Antonioni A, Baroni A, Milani G, Cordioli I, Straudi S. Role of Smartphone Applications in the Assessment and Management of Fatigue in Patients with Multiple Sclerosis: A Scoping Review. Sclerosis 2024;2(1):42 View