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Research on the equity of health resource allocation in TCM hospitals in China based on the Gini coefficient and agglomeration degree: 2009–2018

BACKGROUND: The demographical and geographical distributions of health resources are important aspects of healthcare access. Few studies have been published on health resource allocation in TCM hospitals in China despite public equity concerns. METHODS: This article uses the Gini coefficient and agg...

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Autores principales: Dai, Guolin, Li, Ruifeng, Ma, Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534739/
https://www.ncbi.nlm.nih.gov/pubmed/36199086
http://dx.doi.org/10.1186/s12939-022-01749-7
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author Dai, Guolin
Li, Ruifeng
Ma, Shuang
author_facet Dai, Guolin
Li, Ruifeng
Ma, Shuang
author_sort Dai, Guolin
collection PubMed
description BACKGROUND: The demographical and geographical distributions of health resources are important aspects of healthcare access. Few studies have been published on health resource allocation in TCM hospitals in China despite public equity concerns. METHODS: This article uses the Gini coefficient and agglomeration degree to analyze the health resources of TCM hospitals in China according to demographic and geographic configuration conditions in order to study the equity of the health resources of TCM from 2009 to 2018. RESULTS: From 2009 to 2018, all regions of the TCM health resources per ten thousand people and per ten thousand square kilometers showed overall upward trends. The overall equity of the health resource allocations of TCM hospitals in China tended to improve year by year. However, there were still great differences among regions. Generally, the equity of physical resource allocation was better than the equity of human resource allocation. Additionally, the equity of health resources in TCM hospitals allocated by population was better than it was by geographic region. CONCLUSIONS: It is necessary to further optimize the structure of TCM resource allocation, and enhance the equity of resource allocation among different regions.
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spelling pubmed-95347392022-10-06 Research on the equity of health resource allocation in TCM hospitals in China based on the Gini coefficient and agglomeration degree: 2009–2018 Dai, Guolin Li, Ruifeng Ma, Shuang Int J Equity Health Research BACKGROUND: The demographical and geographical distributions of health resources are important aspects of healthcare access. Few studies have been published on health resource allocation in TCM hospitals in China despite public equity concerns. METHODS: This article uses the Gini coefficient and agglomeration degree to analyze the health resources of TCM hospitals in China according to demographic and geographic configuration conditions in order to study the equity of the health resources of TCM from 2009 to 2018. RESULTS: From 2009 to 2018, all regions of the TCM health resources per ten thousand people and per ten thousand square kilometers showed overall upward trends. The overall equity of the health resource allocations of TCM hospitals in China tended to improve year by year. However, there were still great differences among regions. Generally, the equity of physical resource allocation was better than the equity of human resource allocation. Additionally, the equity of health resources in TCM hospitals allocated by population was better than it was by geographic region. CONCLUSIONS: It is necessary to further optimize the structure of TCM resource allocation, and enhance the equity of resource allocation among different regions. BioMed Central 2022-10-06 /pmc/articles/PMC9534739/ /pubmed/36199086 http://dx.doi.org/10.1186/s12939-022-01749-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Dai, Guolin
Li, Ruifeng
Ma, Shuang
Research on the equity of health resource allocation in TCM hospitals in China based on the Gini coefficient and agglomeration degree: 2009–2018
title Research on the equity of health resource allocation in TCM hospitals in China based on the Gini coefficient and agglomeration degree: 2009–2018
title_full Research on the equity of health resource allocation in TCM hospitals in China based on the Gini coefficient and agglomeration degree: 2009–2018
title_fullStr Research on the equity of health resource allocation in TCM hospitals in China based on the Gini coefficient and agglomeration degree: 2009–2018
title_full_unstemmed Research on the equity of health resource allocation in TCM hospitals in China based on the Gini coefficient and agglomeration degree: 2009–2018
title_short Research on the equity of health resource allocation in TCM hospitals in China based on the Gini coefficient and agglomeration degree: 2009–2018
title_sort research on the equity of health resource allocation in tcm hospitals in china based on the gini coefficient and agglomeration degree: 2009–2018
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534739/
https://www.ncbi.nlm.nih.gov/pubmed/36199086
http://dx.doi.org/10.1186/s12939-022-01749-7
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