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Racial disparities in access to health care infrastructure across US counties: A geographic information systems analysis
Infrastructure system in the U.S. have been shown to be linked to social and health inequities. We calculated driving distance to the closest health care facility for a representative sample of the U.S. population using ArcGIS Network Analyst and a national transportation dataset, and identified are...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126491/ https://www.ncbi.nlm.nih.gov/pubmed/37113167 http://dx.doi.org/10.3389/fpubh.2023.897007 |
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author | Guo, Jingchuan Dickson, Sean Berenbrok, Lucas A. Tang, Shangbin Essien, Utibe R. Hernandez, Inmaculada |
author_facet | Guo, Jingchuan Dickson, Sean Berenbrok, Lucas A. Tang, Shangbin Essien, Utibe R. Hernandez, Inmaculada |
author_sort | Guo, Jingchuan |
collection | PubMed |
description | Infrastructure system in the U.S. have been shown to be linked to social and health inequities. We calculated driving distance to the closest health care facility for a representative sample of the U.S. population using ArcGIS Network Analyst and a national transportation dataset, and identified areas where Black residents have a longer driving distance to the closest facility than White residents. Our data demonstrated that racial disparities in access to health care facilities presented large geographic variation. Counties with significant racial disparities were concentrated in the Southeast and did not correspond to counties with a greater proportion of the overall population >5 miles to the closest facility, which were concentrated in the Midwest. This geographic variation demonstrates the need to adopt a spatially explicit data driven approach in the design of equitable health care facility establishment that address the specific limitations of the local infrastructure. |
format | Online Article Text |
id | pubmed-10126491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101264912023-04-26 Racial disparities in access to health care infrastructure across US counties: A geographic information systems analysis Guo, Jingchuan Dickson, Sean Berenbrok, Lucas A. Tang, Shangbin Essien, Utibe R. Hernandez, Inmaculada Front Public Health Public Health Infrastructure system in the U.S. have been shown to be linked to social and health inequities. We calculated driving distance to the closest health care facility for a representative sample of the U.S. population using ArcGIS Network Analyst and a national transportation dataset, and identified areas where Black residents have a longer driving distance to the closest facility than White residents. Our data demonstrated that racial disparities in access to health care facilities presented large geographic variation. Counties with significant racial disparities were concentrated in the Southeast and did not correspond to counties with a greater proportion of the overall population >5 miles to the closest facility, which were concentrated in the Midwest. This geographic variation demonstrates the need to adopt a spatially explicit data driven approach in the design of equitable health care facility establishment that address the specific limitations of the local infrastructure. Frontiers Media S.A. 2023-04-11 /pmc/articles/PMC10126491/ /pubmed/37113167 http://dx.doi.org/10.3389/fpubh.2023.897007 Text en Copyright © 2023 Guo, Dickson, Berenbrok, Tang, Essien and Hernandez. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Guo, Jingchuan Dickson, Sean Berenbrok, Lucas A. Tang, Shangbin Essien, Utibe R. Hernandez, Inmaculada Racial disparities in access to health care infrastructure across US counties: A geographic information systems analysis |
title | Racial disparities in access to health care infrastructure across US counties: A geographic information systems analysis |
title_full | Racial disparities in access to health care infrastructure across US counties: A geographic information systems analysis |
title_fullStr | Racial disparities in access to health care infrastructure across US counties: A geographic information systems analysis |
title_full_unstemmed | Racial disparities in access to health care infrastructure across US counties: A geographic information systems analysis |
title_short | Racial disparities in access to health care infrastructure across US counties: A geographic information systems analysis |
title_sort | racial disparities in access to health care infrastructure across us counties: a geographic information systems analysis |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126491/ https://www.ncbi.nlm.nih.gov/pubmed/37113167 http://dx.doi.org/10.3389/fpubh.2023.897007 |
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