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Recreating Fall Risk Appraisal matrix using R to support fall prevention programs.
Suarez, Jethro Raphael M; Lafontant, Kworweinski; Blount, Amber; Park, Joon-Hyuk; Thiamwong, Ladda.
Afiliación
  • Suarez JRM; Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, United States.
  • Lafontant K; College of Nursing, University of Central Florida, Orlando, FL 32826, United States.
  • Blount A; College of Nursing, University of Central Florida, Orlando, FL 32826, United States.
  • Park JH; Institute of Exercise Physiology and Rehabilitation Science, University of Central Florida, Orlando, FL 32816, United States.
  • Thiamwong L; College of Nursing, University of Central Florida, Orlando, FL 32826, United States.
JAMIA Open ; 7(3): ooae088, 2024 Oct.
Article en En | MEDLINE | ID: mdl-39297152
ABSTRACT

Objective:

This study aimed to optimize Fall Risk Appraisal (FRA) graphing for use in intervention programs tailored toward reducing the fall risk of older adults by using computing graphic functions in the R language. Materials and

Methods:

We utilized RStudio, a free development environment for the R language, as well as the functions within the "ggplot2" and "grid" packages, to develop a code that would recreate the FRA matrix for use in data visualization and analysis, as well as feedback for older adults.

Results:

The developed code successfully recreates the FRA matrix in R and allows researchers and clinicians to graph participant data onto the matrix itself.

Discussion:

The use of an R code allows for a streamlined approach to manipulating the FRA matrix for use in data visualization and feedback for older adults, which improves upon the traditional paper-pencil method that has been previously used.

Conclusions:

The code presented in this study recreates the FRA matrix instrument in the R language and gives researchers the ability to instantaneously add, remove, or change different aspects of the instrument to improve its readability for researchers and older adults.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: JAMIA Open Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: JAMIA Open Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos