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Related Experiment Videos

Programs and Place: Risk and Asset Mapping for Fall Prevention.

Matthew Lee Smith1, Samuel D Towne2, Audry S Motlagh3

  • 1Department of Health Promotion and Behavior, College of Public Health, Institute of Gerontology, The University of Georgia, Athens, GA, USA; Department of Health Promotion and Community Health Sciences, School of Public Health, Texas A&M University, College Station, TX, USA.

Frontiers in Public Health
|April 1, 2017
PubMed
Summary

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This study mapped fall-related emergency medical services (EMS) calls and fall prevention programs in Tarrant County. Findings show programs were delivered in high-risk areas, suggesting effective targeting to reduce falls in older adults.

Area of Science:

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

Background:

  • Effective fall prevention strategies require understanding the geospatial distribution of at-risk populations and service delivery.
  • Measuring access, availability, and utilization of health services is critical for stakeholders.

Purpose of the Study:

  • To identify the prevalence and geospatial distribution of fall-related emergency medical services (EMS) calls.
  • To assess the relationship between EMS calls and an evidence-based fall prevention program (A Matter of Balance/Volunteer Lay Leader Model - AMOB/VLL).
  • To educate public health professionals and EMS providers on using GIS for fall risk reduction.

Main Methods:

  • Utilized geographic information system (GIS) programs to map fall-related EMS calls and AMOB/VLL workshop delivery over a 3-year period in Tarrant County, Texas.
Keywords:
asset mappingfall preventionolder adultsrisk assessmentstrategic planning

Related Experiment Videos

  • Analyzed the geospatial distribution of EMS calls per ZIP Code.
  • Correlated the presence of AMOB/VLL workshops with areas of high fall-related EMS call volume.

    • Main Results:

    • An average of 96.09 fall-related EMS calls occurred per ZIP Code annually.
    • A modest annual increase in EMS calls was observed from 2009 to 2011.
    • The percentage of ZIP Codes offering AMOB/VLL workshops increased from 27.3% to 34.5% between 2009 and 2011.
    • AMOB/VLL workshops were predominantly offered in ZIP Codes with higher numbers of fall-related EMS calls.

    Conclusions:

    • The Tarrant County community demonstrated effective placement of evidence-based fall prevention programs (AMOB/VLL) in higher-risk areas.
    • GIS mapping identified fall-related "hot spots" and potential areas for strategic service expansion.
    • Findings support the use of GIS in public health to optimize resource allocation for fall prevention initiatives.