Published on in Vol 10, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27381, first published .
Technology-Based Fall Risk Assessments for Older Adults in Low-Income Settings: Protocol for a Cross-sectional Study

Technology-Based Fall Risk Assessments for Older Adults in Low-Income Settings: Protocol for a Cross-sectional Study

Technology-Based Fall Risk Assessments for Older Adults in Low-Income Settings: Protocol for a Cross-sectional Study

Ladda Thiamwong   1, 2 , PhD ;   Jeffrey R Stout   2, 3 , PhD ;   Joon-Hyuk Park   2, 4 , PhD ;   Xin Yan   5 , PhD

1 College of Nursing, University of Central Florida, Orlando, FL, United States

2 Disability, Aging and Technology Cluster, University of Central Florida, Orlando, FL, United States

3 School of Kinesiology and Physical Therapy, College of Health Professions and Sciences, University of Central Florida, Orlando, FL, United States

4 Mechanical and Aerospace Engineering Department, University of Central Florida, Orlando, FL, United States

5 Department of Statistics and Data Science, University of Central Florida, Orlando, FL, United States

Corresponding Author:

  • Ladda Thiamwong, PhD
  • College of Nursing
  • University of Central Florida
  • 12201 Research Parkway
  • Orlando, FL, 32826
  • United States
  • Phone: 1 4072830470
  • Email: ladda.thiamwong@ucf.edu