Published on in Vol 5, No 2 (2017): February

Mobile Technology Use by People Experiencing Multiple Sclerosis Fatigue: Survey Methodology

Mobile Technology Use by People Experiencing Multiple Sclerosis Fatigue: Survey Methodology

Mobile Technology Use by People Experiencing Multiple Sclerosis Fatigue: Survey Methodology

Journals

  1. Wentink M, Prieto E, de Kloet A, Vliet Vlieland T, Meesters J. The patient perspective on the use of information and communication technologies and e-health in rehabilitation. Disability and Rehabilitation: Assistive Technology 2018;13(7):620 View
  2. Desborough J, Brunoro C, Parkinson A, Chisholm K, Elisha M, Drew J, Fanning V, Lueck C, Bruestle A, Cook M, Suominen H, Tricoli A, Henschke A, Phillips C. ‘It struck at the heart of who I thought I was’: A meta‐synthesis of the qualitative literature examining the experiences of people with multiple sclerosis. Health Expectations 2020;23(5):1007 View
  3. Thomas S, Pulman A, Thomas P, Collard S, Jiang N, Dogan H, Davies Smith A, Hourihan S, Roberts F, Kersten P, Pretty K, Miller J, Stanley K, Gay M. Digitizing a Face-to-Face Group Fatigue Management Program: Exploring the Views of People With Multiple Sclerosis and Health Care Professionals Via Consultation Groups and Interviews. JMIR Formative Research 2019;3(2):e10951 View
  4. Yang H, Zhang X. Investigating the Effect of Paid and Free Feedback About Physicians' Telemedicine Services on Patients’ and Physicians’ Behaviors: Panel Data Analysis. Journal of Medical Internet Research 2019;21(3):e12156 View
  5. Babbage D, van Kessel K, Drown J, Thomas S, Sezier A, Thomas P, Kersten P. MS Energize: Field trial of an app for self-management of fatigue for people with multiple sclerosis. Internet Interventions 2019;18:100291 View
  6. Cohen M. Connected health and multiple sclerosis. Revue Neurologique 2018;174(6):480 View
  7. Marrie R, Leung S, Tyry T, Cutter G, Fox R, Salter A. Use of eHealth and mHealth technology by persons with multiple sclerosis. Multiple Sclerosis and Related Disorders 2019;27:13 View
  8. Gervasoni E, Cattaneo D, Bertoni R, Grosso C, Bisio A, Rovaris M, Bove M. Effect of arm cycling and task-oriented exercises on fatigue and upper limb performance in multiple sclerosis: a randomized crossover study. International Journal of Rehabilitation Research 2019;42(4):300 View
  9. Daunoraviciene K, Ziziene J, Ovcinikova A, Kizlaitiene R, Griskevicius J. Quantitative body symmetry assessment during neurological examination. Technology and Health Care 2020;28(5):573 View
  10. Apolinário-Hagen J, Menzel M, Hennemann S, Salewski C. Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study. JMIR Formative Research 2018;2(2):e11977 View
  11. Gromisch E, Turner A, Haselkorn J, Lo A, Agresta T. Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review. JAMIA Open 2020 View
  12. van Kessel K, Babbage D, Kersten P, Drown J, Sezier A, Thomas P, Thomas S. Design considerations for a multiple sclerosis fatigue mobile app MS Energize: A pragmatic iterative approach using usability testing and resonance checks. Internet Interventions 2021;24:100371 View
  13. Palotai M, Wallack M, Kujbus G, Dalnoki A, Guttmann C. Usability of a Mobile App for Real-Time Assessment of Fatigue and Related Symptoms in Patients With Multiple Sclerosis: Observational Study. JMIR mHealth and uHealth 2021;9(4):e19564 View
  14. De Angelis M, Lavorgna L, Carotenuto A, Petruzzo M, Lanzillo R, Brescia Morra V, Moccia M. Digital Technology in Clinical Trials for Multiple Sclerosis: Systematic Review. Journal of Clinical Medicine 2021;10(11):2328 View
  15. 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

Books/Policy Documents

  1. Klimova B. Mobile Web and Intelligent Information Systems. View