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Evaluation of accessibility and equity to hospitals by public transport: evidence from six largest cities of Ohio
INTRODUCTION: In the United States, health care has long been viewed as a ‘right,’ and residents of the state of Ohio are no exception. The Ohio Department of Health ensures that this right exists for all residents of Ohio. Socio-spatial characteristics, however, can have an impact on access to heal...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251528/ https://www.ncbi.nlm.nih.gov/pubmed/37291565 http://dx.doi.org/10.1186/s12913-023-09588-0 |
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author | Alam, M. S. Tabassum, N. J. Tokey, A. I. |
author_facet | Alam, M. S. Tabassum, N. J. Tokey, A. I. |
author_sort | Alam, M. S. |
collection | PubMed |
description | INTRODUCTION: In the United States, health care has long been viewed as a ‘right,’ and residents of the state of Ohio are no exception. The Ohio Department of Health ensures that this right exists for all residents of Ohio. Socio-spatial characteristics, however, can have an impact on access to health care, particularly among vulnerable groups. This article seeks to measure the spatial accessibility to healthcare services by public transport in the six largest cities of Ohio based on population and to compare the accessibility of healthcare to vulnerable demographic groups. To the authors’ knowledge, this is the first study to analyze the accessibility and equity of hospitals by public transit across different cities in Ohio, allowing the identification of common patterns, difficulties, and knowledge gaps. METHODOLOGY: Using a two-step floating catchment area technique, the spatial accessibility to general medical and surgical hospitals through public transportation was estimated, considering both service-to-population ratios and travel time to these health services. The average accessibility of all census tracts and the average accessibility of the 20% of most susceptible census tracts were determined for each city. Using Spearman’s rank correlation coefficient between accessibility and vulnerability, an indicator was then devised to evaluate vertical equity. FINDINGS: Within cities (except Cleveland), people of vulnerable census tracts have less access to hospitals via public transportation. These cities (Columbus, Cincinnati, Toledo, Akron, and Dayton) fail in terms of vertical equity and average accessibility. According to this, vulnerable census tracts in these cities have the lowest accessibility levels. CONCLUSION: This study emphasizes the issues connected with the suburbanization of poverty in Ohio’s large cities and the need to provide adequate public transportation to reach hospitals on the periphery. In addition, this study shed light on the need for additional empirical research to inform the implementation of guidelines for healthcare accessibility in Ohio. Researchers, planners, and policymakers who want to make healthcare more accessible for everyone should take note of the findings in this study. |
format | Online Article Text |
id | pubmed-10251528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102515282023-06-10 Evaluation of accessibility and equity to hospitals by public transport: evidence from six largest cities of Ohio Alam, M. S. Tabassum, N. J. Tokey, A. I. BMC Health Serv Res Research INTRODUCTION: In the United States, health care has long been viewed as a ‘right,’ and residents of the state of Ohio are no exception. The Ohio Department of Health ensures that this right exists for all residents of Ohio. Socio-spatial characteristics, however, can have an impact on access to health care, particularly among vulnerable groups. This article seeks to measure the spatial accessibility to healthcare services by public transport in the six largest cities of Ohio based on population and to compare the accessibility of healthcare to vulnerable demographic groups. To the authors’ knowledge, this is the first study to analyze the accessibility and equity of hospitals by public transit across different cities in Ohio, allowing the identification of common patterns, difficulties, and knowledge gaps. METHODOLOGY: Using a two-step floating catchment area technique, the spatial accessibility to general medical and surgical hospitals through public transportation was estimated, considering both service-to-population ratios and travel time to these health services. The average accessibility of all census tracts and the average accessibility of the 20% of most susceptible census tracts were determined for each city. Using Spearman’s rank correlation coefficient between accessibility and vulnerability, an indicator was then devised to evaluate vertical equity. FINDINGS: Within cities (except Cleveland), people of vulnerable census tracts have less access to hospitals via public transportation. These cities (Columbus, Cincinnati, Toledo, Akron, and Dayton) fail in terms of vertical equity and average accessibility. According to this, vulnerable census tracts in these cities have the lowest accessibility levels. CONCLUSION: This study emphasizes the issues connected with the suburbanization of poverty in Ohio’s large cities and the need to provide adequate public transportation to reach hospitals on the periphery. In addition, this study shed light on the need for additional empirical research to inform the implementation of guidelines for healthcare accessibility in Ohio. Researchers, planners, and policymakers who want to make healthcare more accessible for everyone should take note of the findings in this study. BioMed Central 2023-06-08 /pmc/articles/PMC10251528/ /pubmed/37291565 http://dx.doi.org/10.1186/s12913-023-09588-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Alam, M. S. Tabassum, N. J. Tokey, A. I. Evaluation of accessibility and equity to hospitals by public transport: evidence from six largest cities of Ohio |
title | Evaluation of accessibility and equity to hospitals by public transport: evidence from six largest cities of Ohio |
title_full | Evaluation of accessibility and equity to hospitals by public transport: evidence from six largest cities of Ohio |
title_fullStr | Evaluation of accessibility and equity to hospitals by public transport: evidence from six largest cities of Ohio |
title_full_unstemmed | Evaluation of accessibility and equity to hospitals by public transport: evidence from six largest cities of Ohio |
title_short | Evaluation of accessibility and equity to hospitals by public transport: evidence from six largest cities of Ohio |
title_sort | evaluation of accessibility and equity to hospitals by public transport: evidence from six largest cities of ohio |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251528/ https://www.ncbi.nlm.nih.gov/pubmed/37291565 http://dx.doi.org/10.1186/s12913-023-09588-0 |
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