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

Formative Evaluation of Digital Health Interventions (2193) Design and Usability of Consumer Health Tech and Home Monitoring Devices (187) Aging in Place (226) Falls and Emergency Detection with Sensors and other Technologies (28) Falls Prevention in the Elderly (64) Mobile Devices and Apps for Seniors and Healthy Aging (132) Involvement of Elderly Populations in Health and Health Services Reserch (29)

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

Authors of this article:

Mikaela Frechette1, 2 Author Orcid Image ;   Jason Fanning3 Author Orcid Image ;   Katherine Hsieh4 Author Orcid Image ;   Laura Rice1, 5, 6 Author Orcid Image ;   Jacob Sosnoff5, 7 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

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