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

mHealth for Screening (213) Falls Prevention in the Elderly (69) Usability of Apps and User Perceptions of mHealth (974) Design and Formative Evaluation of Mobile Apps (695)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23663, first published .
A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study

A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study

A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study

Authors of this article:

Devinder Kaur Ajit Singh1 Author Orcid Image ;   Jing Wen Goh1 Author Orcid Image ;   Muhammad Iqbal Shaharudin1, 2 Author Orcid Image ;   Suzana Shahar1 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Journals

  1. Strutz N, Brodowski H, Kiselev J, Heimann-Steinert A, Müller-Werdan U. App-Based Evaluation of Older People’s Fall Risk Using the mHealth App Lindera Mobility Analysis: Exploratory Study. JMIR Aging 2022;5(3):e36872 View
  2. Bube B, Zanón B, Lara Palma A, Klocke H. Wearable Devices in Diving: Scoping Review. JMIR mHealth and uHealth 2022;10(9):e35727 View
  3. Mustafa Khalid N, Ponvel P, Ibrahim A, Mohd Safien A, Md Fadzil N, Singh D, Mat Ludin A, Ibrahim N, Subramaniam P, Haron H, Rajikan R, Vanoh D, Shahar S. Development and Evaluation of Content Validity and Acceptance of a Multidomain Intervention Module for Reversal of Cognitive Frailty Among Older Adults. Clinical Interventions in Aging 2024;Volume 19:1189 View

Books/Policy Documents

  1. Kemmler W. Artificial Intelligence in Sports, Movement, and Health. View