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Visually impaired individuals with blindness show better health behaviors and literacy than those with low vision. An R Shiny app enhances data sharing and reproducible research in health disparities.

Keywords:
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Area of Science:

  • Health disparities research
  • Data science in healthcare
  • Visually impaired population health

Background:

  • Health disparities research often overlooks the visually impaired population.
  • Understanding health behaviors and literacy is crucial for this group's well-being.
  • Previous research indicated differences in health metrics among visually impaired individuals.

Purpose of the Study:

  • To analyze health disparities in the visually impaired population.
  • To develop an interactive platform for disseminating research findings.
  • To promote reproducible data analysis and collaboration in health disparities research.

Main Methods:

  • An online survey of 2718 participants using validated questionnaires.
  • Development of an R Shiny web application for data dissemination.
  • Comparative analysis of health behaviors and literacy across vision impairment levels.

Main Results:

  • Individuals with blindness reported significantly higher health-promoting behaviors.
  • Blind individuals demonstrated superior health literacy and eHealth literacy compared to those with low vision.
  • The R Shiny application facilitates interactive and reproducible data sharing.

Conclusions:

  • Blindness is associated with better health behaviors and literacy than low vision.
  • R Shiny web applications offer a more efficient method for sharing research findings.
  • Open datasets and reproducible analysis are key to advancing health disparities research.