Literature DB >> 33137295

Strategic Radiology Outreach Planning for Underserved Populations Using Geographic Information Systems.

Marcus J Daniels1, Alina Game2, Daniel J Mollura3, Ryan W England4.   

Abstract

PURPOSE: Geographic information systems (GIS) are widely used in public health research but rarely used in radiology research. GIS can be an impactful tool in radiology global health to locate medically underserved populations and poor transportation infrastructure, characterize medical needs, and design outreach programs. Using the example of aircraft-based outreach in Alaska, we demonstrate the utility of GIS in radiological program planning for global health.
METHODS: Multicriteria GIS evaluations were performed to create a health severity index, using life expectancy and percentage uninsured data, and an accessibility severity index, using distance from roads and health centers or hospitals. These indices were combined with population density to create a final health access severity index (HASI). A map presenting suitable hybrid airship operating areas was produced using land cover data. Alaskan health care facilities were georeferenced to create a coordinate data set. Infrastructure was obtained from OpenStreetMap. Health data were accessed from the 2017 American Community Survey and CDC US Small-area Life Expectancy Estimates Project.
RESULTS: GIS analyzed 738,050 Alaskans. The health severity index identified decreased health outcomes (high or very high severity) in 285,446 (39%) Alaskans, and the accessibility severity index determined decreased access to care in 218,201 (30%). Combined, the HASI established 165,108 (22%) Alaskans as underserved with high or very high overall severity. Thirty-nine percent of Alaska land area is suitable for hybrid airship operations, including 27% of HASI high and very high severity areas.
CONCLUSIONS: GIS identified underserved populations for mobile radiology outreach in Alaska and may be useful for global health outreach planning and resource allocation.
Copyright © 2020 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Keywords:  Geographic information systems; global health; global radiology; medical airship; mobile health

Year:  2020        PMID: 33137295     DOI: 10.1016/j.jacr.2020.08.022

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  1 in total

1.  Global health radiology planning using Geographic Information Systems to identify populations with decreased access to care.

Authors:  Rahul Sachdev; Shan Sivanushanthan; Natalie Ring; Anne-Marie Lugossy; Ryan W England
Journal:  J Glob Health       Date:  2021-12-11       Impact factor: 4.413

  1 in total

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