Published on in Vol 6, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32453, first published .
The Usability of a Smartphone-Based Fall Risk Assessment App for Adult Wheelchair Users: Observational Study

The Usability of a Smartphone-Based Fall Risk Assessment App for Adult Wheelchair Users: Observational Study

The Usability of a Smartphone-Based Fall Risk Assessment App for Adult Wheelchair Users: Observational Study

Journals

  1. Woelfle T, Bourguignon L, Lorscheider J, Kappos L, Naegelin Y, Jutzeler C. Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective. Journal of Medical Internet Research 2023;25:e44428 View
  2. Podda J, Tacchino A, Ponzio M, Di Antonio F, Susini A, Pedullà L, Battaglia M, Brichetto G. Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study. JMIR Formative Research 2024;8:e56074 View
  3. Amouzadeh E, Dianat I, Faradmal J, Babamiri M. Optimizing mobile app design for older adults: systematic review of age-friendly design. Aging Clinical and Experimental Research 2025;37(1) View
  4. Kang J, Zanotto A, Snyder M, Sosnoff J, Rice L. Clinicians’ perspectives on the usability and usefulness of an mHealth fall risk assessment for individuals who use wheelchairs: a pilot study. Disability and Rehabilitation: Assistive Technology 2025:1 View