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Geospatial Mapping to Target Injury Prevention for Older Adult Ground-Level Falls: A Feasibility Study.

Sara Cardozo-Stolberg1, Elisa Szydziak, L D George Angus

  • 1Division of Trauma, Department of Surgery, Nassau University Medical Center, East Meadow, New York.

Journal of Trauma Nursing : the Official Journal of the Society of Trauma Nurses
|November 8, 2023
PubMed
Summary
This summary is machine-generated.

Geospatial mapping of older adult falls effectively identifies injury hotspots. This spatial analysis guides trauma centers in targeting fall prevention programs to at-risk populations and locations.

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Area of Science:

  • Public Health
  • Gerontology
  • Geographic Information Systems (GIS)

Background:

  • Trauma centers rely on registry and epidemiological data for injury prevention.
  • Geospatial mapping offers a technological approach to identify geographic injury patterns.
  • The feasibility of using spatial analysis for targeted injury prevention is not well-established.

Purpose of the Study:

  • To demonstrate the application of geospatial mapping for older adult ground-level falls.
  • To identify high-risk areas for fall-related injuries in older adults.
  • To guide targeted injury prevention efforts by trauma centers.

Main Methods:

  • Retrospective cohort analysis of ground-level falls in older adults (2017-2020).
  • Integration of trauma admissions, census data (income, ethnicity), and population density by zip code.
  • Creation of choropleth and heat maps to pinpoint injury 'hot spots'.

Main Results:

  • Over 5,600 patients reviewed; 3,002 fall cases identified.
  • 1,182 older adults experienced ground-level falls, clustering around senior housing and care facilities.
  • Identified specific geographic locations for targeted fall prevention classes.

Conclusions:

  • Geospatial analysis provides effective visualization of fall injury locations.
  • Spatial analysis is a feasible tool for trauma centers to guide injury prevention.
  • Targeted strategies can effectively reach populations most in need of fall prevention.