Estimating Catchment Populations of Global Health Radiology Outreach Using Geographic Information Systems Analysis.

Geographic information system low- and middle-income countries outreach planning radiology global health resource allocation

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:
01 2022
Historique:
received: 22 06 2021
revised: 22 08 2021
accepted: 01 09 2021
pubmed: 27 10 2021
medline: 3 3 2022
entrez: 26 10 2021
Statut: ppublish

Résumé

The purpose of this study was to design, develop, and test geographic information systems (GIS) analytic methods for quantifying and characterizing catchment populations across all sites served by a radiology global health organization. The analysis included populations served by 78 low-resource medical facilities in 32 countries partnered with radiology nonprofit organization, RAD-AID International. Three constraints were used to approximate patient catchment areas: (1) 1-hour driving time, (2) 1-hour walking time, and (3) 10-mile circular radius. GIS calculated populations within each constraint using publicly available geospatial input databases, including a global digital elevation model, population and land cover data, and road locations from OpenStreetMap. Demographic and health data from the World Health Organization were incorporated to provide further characteristics of covered populations. The total populations served by all RAD-AID sites as measured by driving time, walking time, and 10-mile radius were 189,241,193 (47.8% female), 26,190,117 (48.7% female), and 110,884,095 (48.1% female), respectively. For individual locations, median population within 1-hour driving time was 1,795,977 (range: 8,742-30,630,800), with an average life expectancy of 68.4 ± 5.8 years. Median child mortality before age 5 was 3.8% (range: 0.9%-8.3%), and median prevalence of human immunodeficiency virus infection was 3.1% (range: 0.7%-10.9%). In this study, GIS provided a robust multisite analysis for estimating the potential global population reached by an international radiology outreach organization with targeted individual site measurements. Given heightened needs to accurately characterize global outreach populations, this GIS-based approach may be useful for analysis, outreach planning, and resource allocation among global health organizations.

Identifiants

pubmed: 34699775
pii: S1546-1440(21)00766-3
doi: 10.1016/j.jacr.2021.09.024
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

76-83

Informations de copyright

Copyright © 2021 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Auteurs

David C Gage (DC)

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

Anne-Marie Lugossy (AM)

Chief Operating Officer, RAD-AID International, Chevy Chase, Maryland.

Daniel J Mollura (DJ)

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

Ryan W England (RW)

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

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