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Recreating Fall Risk Appraisal matrix using R to support fall prevention programs.

Jethro Raphael M Suarez1,2, Kworweinski Lafontant2,3, Amber Blount2,4

  • 1Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, United States.

JAMIA Open
|September 19, 2024
PubMed
Summary
This summary is machine-generated.

This study optimized Fall Risk Appraisal (FRA) graphing using R language, creating a digital tool for better fall risk assessment and intervention feedback for older adults.

Keywords:
FRAbalancecomputer softwarefear of fallingolder adults

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Area of Science:

  • Gerontology
  • Health Informatics
  • Computational Science

Background:

  • Fall Risk Appraisal (FRA) is crucial for older adult interventions.
  • Traditional FRA methods are often paper-based and less efficient.
  • Digital tools can enhance data visualization and feedback for fall risk assessment.

Purpose of the Study:

  • To optimize Fall Risk Appraisal (FRA) graphing using R language.
  • To develop a computational tool for fall risk assessment in older adults.
  • To improve intervention programs by enhancing FRA data visualization and analysis.

Main Methods:

  • Utilized RStudio and R language packages (ggplot2, grid).
  • Developed code to recreate the FRA matrix.
  • Implemented functions for data visualization and analysis.

Main Results:

  • Successfully recreated the FRA matrix using R code.
  • Enabled researchers and clinicians to graph participant data onto the FRA matrix.
  • Demonstrated a streamlined approach to FRA data manipulation.

Conclusions:

  • The R code provides a dynamic and adaptable FRA instrument.
  • This digital approach improves upon traditional paper-pencil methods.
  • Enhanced readability and usability for researchers and older adults.