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


Journal

Journal of the American College of Radiology : JACR
ISSN: 1558-349X
Titre abrégé: J Am Coll Radiol
Pays: United States
ID NLM: 101190326

Informations de publication

Date de publication:
Apr 2021
Historique:
received: 03 08 2020
revised: 15 08 2020
accepted: 21 08 2020
pubmed: 3 11 2020
medline: 1 7 2021
entrez: 2 11 2020
Statut: ppublish

Résumé

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. 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. 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. GIS identified underserved populations for mobile radiology outreach in Alaska and may be useful for global health outreach planning and resource allocation.

Identifiants

pubmed: 33137295
pii: S1546-1440(20)31107-8
doi: 10.1016/j.jacr.2020.08.022
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

537-544

Informations de copyright

Copyright © 2020 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Auteurs

Marcus J Daniels (MJ)

Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Maryland.

Alina Game (A)

WorldPop, School and Geography and Environmental Science, University of Southampton, United Kingdom.

Daniel J Mollura (DJ)

President and Chief Executive Officer of RAD-AID International, Chevy Chase, Maryland.

Ryan W England (RW)

Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Maryland; RAD-AID International, Chevy Chase, Maryland. Electronic address: renglan4@jhmi.edu.

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Classifications MeSH