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Rethinking access to care: A spatial-economic analysis of the potential impact of pharmacy closures in the United States
Data chronicling the geo-locations of all 61,589 pharmacies in the U.S. (from the Homeland Infrastructure Foundation-Level Data (HIFLD) Open Data interface, updated on April 2018) across 215,836 census block groups were combined with Medically Underserved Areas (MUAs) information, and the Centers fo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374066/ https://www.ncbi.nlm.nih.gov/pubmed/37498949 http://dx.doi.org/10.1371/journal.pone.0289284 |
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author | Adepoju, Omolola E. Kiaghadi, Amin Shokouhi Niaki, Darya Karunwi, Adebosola Chen, Hua Woodard, LeChauncy |
author_facet | Adepoju, Omolola E. Kiaghadi, Amin Shokouhi Niaki, Darya Karunwi, Adebosola Chen, Hua Woodard, LeChauncy |
author_sort | Adepoju, Omolola E. |
collection | PubMed |
description | Data chronicling the geo-locations of all 61,589 pharmacies in the U.S. (from the Homeland Infrastructure Foundation-Level Data (HIFLD) Open Data interface, updated on April 2018) across 215,836 census block groups were combined with Medically Underserved Areas (MUAs) information, and the Centers for Disease Control and Prevention’s Social Vulnerability Index (CDC-SVI). Geospatial techniques were applied to calculate the distance between the center of each census block and the nearest pharmacy. We then modeled the expected additional travel distance if the nearest pharmacy to the center of a census block closed and estimated additional travel costs, CO2 emissions, and lost labor productivity costs associated with the additional travel. Our findings revealed that MUA residents have almost two times greater travel distances to pharmacies than non-MUAs (4,269 m (2.65 mi) vs. 2,388 m (1.48 mi)), and this disparity is exaggerated with pharmacy closures (107% increase in travel distance in MUAs vs. 75% increase in travel distance in non-MUAs). Similarly, individuals living in MUAs experience significantly greater average annual economic costs than non-MUAs ($34,834 ± $668 vs. $22,720 ± $326). Our findings suggest the need for additional regulations to ensure populations are not disproportionately affected by these closures and that there is a significant throughput with community stakeholders before any pharmacy decides to close. |
format | Online Article Text |
id | pubmed-10374066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103740662023-07-28 Rethinking access to care: A spatial-economic analysis of the potential impact of pharmacy closures in the United States Adepoju, Omolola E. Kiaghadi, Amin Shokouhi Niaki, Darya Karunwi, Adebosola Chen, Hua Woodard, LeChauncy PLoS One Research Article Data chronicling the geo-locations of all 61,589 pharmacies in the U.S. (from the Homeland Infrastructure Foundation-Level Data (HIFLD) Open Data interface, updated on April 2018) across 215,836 census block groups were combined with Medically Underserved Areas (MUAs) information, and the Centers for Disease Control and Prevention’s Social Vulnerability Index (CDC-SVI). Geospatial techniques were applied to calculate the distance between the center of each census block and the nearest pharmacy. We then modeled the expected additional travel distance if the nearest pharmacy to the center of a census block closed and estimated additional travel costs, CO2 emissions, and lost labor productivity costs associated with the additional travel. Our findings revealed that MUA residents have almost two times greater travel distances to pharmacies than non-MUAs (4,269 m (2.65 mi) vs. 2,388 m (1.48 mi)), and this disparity is exaggerated with pharmacy closures (107% increase in travel distance in MUAs vs. 75% increase in travel distance in non-MUAs). Similarly, individuals living in MUAs experience significantly greater average annual economic costs than non-MUAs ($34,834 ± $668 vs. $22,720 ± $326). Our findings suggest the need for additional regulations to ensure populations are not disproportionately affected by these closures and that there is a significant throughput with community stakeholders before any pharmacy decides to close. Public Library of Science 2023-07-27 /pmc/articles/PMC10374066/ /pubmed/37498949 http://dx.doi.org/10.1371/journal.pone.0289284 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Adepoju, Omolola E. Kiaghadi, Amin Shokouhi Niaki, Darya Karunwi, Adebosola Chen, Hua Woodard, LeChauncy Rethinking access to care: A spatial-economic analysis of the potential impact of pharmacy closures in the United States |
title | Rethinking access to care: A spatial-economic analysis of the potential impact of pharmacy closures in the United States |
title_full | Rethinking access to care: A spatial-economic analysis of the potential impact of pharmacy closures in the United States |
title_fullStr | Rethinking access to care: A spatial-economic analysis of the potential impact of pharmacy closures in the United States |
title_full_unstemmed | Rethinking access to care: A spatial-economic analysis of the potential impact of pharmacy closures in the United States |
title_short | Rethinking access to care: A spatial-economic analysis of the potential impact of pharmacy closures in the United States |
title_sort | rethinking access to care: a spatial-economic analysis of the potential impact of pharmacy closures in the united states |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374066/ https://www.ncbi.nlm.nih.gov/pubmed/37498949 http://dx.doi.org/10.1371/journal.pone.0289284 |
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