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Trend and equity of general practitioners’ allocation in China based on the data from 2012–2017
BACKGROUND: General practitioners are the gatekeepers of the health of the residents. This study aims to evaluate the trend and equity of general practitioners' allocation from 2012 to 2017 in China and provide a reference for regional health planning and rational distribution of general practi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885472/ https://www.ncbi.nlm.nih.gov/pubmed/33588888 http://dx.doi.org/10.1186/s12960-021-00561-8 |
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author | Yu, Qianqian Yin, Wenqiang Huang, Dongmei Sun, Kui Chen, Zhongming Guo, Hongwei Wu, Di |
author_facet | Yu, Qianqian Yin, Wenqiang Huang, Dongmei Sun, Kui Chen, Zhongming Guo, Hongwei Wu, Di |
author_sort | Yu, Qianqian |
collection | PubMed |
description | BACKGROUND: General practitioners are the gatekeepers of the health of the residents. This study aims to evaluate the trend and equity of general practitioners' allocation from 2012 to 2017 in China and provide a reference for regional health planning and rational distribution of general practitioners. METHODS: We extracted the data of general practitioners from 22 provinces, 5 autonomous regions, and 4 municipalities of mainland China. The population and geographical area were taken from the China Statistical Yearbook. The general practitioners' data were taken from the China Health Statistical Yearbook. Lorenz curve, Gini coefficient, and agglomeration degree were used to analyze the data. RESULTS: The number of general practitioners was 252,717 in 2017, which equates to 1.82 per 10,000 residents, and accounts for 7.45% of the total number of practicing (assistant) doctors. From 2012 to 2017, the population-based Gini coefficient for general practitioners reduced from 0.31 to 0.24, while the geographical area-based Gini coefficient remained unchanged at 0.73. The agglomeration degree based on population increased from 0.72 to 0.73 in the western region including Tibet (0.403) and Shaanxi (0.513). Moreover, in the eastern region the agglomeration degree reduced from 1.477 to 1.329. In the middle region it rose from 0.646 to 0.802. The agglomeration degree based on the geographical area in the western region increased from 0.270 to 0.277 while the values in Tibet, Qinghai, Xinjiang were less than 0.1. In the eastern region, it reduced from 1.447 to 1.329. It increased from 1.149 to 1.423 in the middle region. CONCLUSIONS: The number of general practitioners has increased significantly in China. It has a fair allocation based on population. However, the equity based on geographical area is low and uneven in different regions with large regional differences. In the western region, there is an allocation shortage with respect to population and geographical area. Concerned departments should establish and improve the incentive and performance appraisal mechanisms of general practitioners. The Internet + should be used to empower their service capacity and efficiency. The educational input should be increased for the western region and government should encourage the eastern region to support the western region. |
format | Online Article Text |
id | pubmed-7885472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78854722021-02-17 Trend and equity of general practitioners’ allocation in China based on the data from 2012–2017 Yu, Qianqian Yin, Wenqiang Huang, Dongmei Sun, Kui Chen, Zhongming Guo, Hongwei Wu, Di Hum Resour Health Research BACKGROUND: General practitioners are the gatekeepers of the health of the residents. This study aims to evaluate the trend and equity of general practitioners' allocation from 2012 to 2017 in China and provide a reference for regional health planning and rational distribution of general practitioners. METHODS: We extracted the data of general practitioners from 22 provinces, 5 autonomous regions, and 4 municipalities of mainland China. The population and geographical area were taken from the China Statistical Yearbook. The general practitioners' data were taken from the China Health Statistical Yearbook. Lorenz curve, Gini coefficient, and agglomeration degree were used to analyze the data. RESULTS: The number of general practitioners was 252,717 in 2017, which equates to 1.82 per 10,000 residents, and accounts for 7.45% of the total number of practicing (assistant) doctors. From 2012 to 2017, the population-based Gini coefficient for general practitioners reduced from 0.31 to 0.24, while the geographical area-based Gini coefficient remained unchanged at 0.73. The agglomeration degree based on population increased from 0.72 to 0.73 in the western region including Tibet (0.403) and Shaanxi (0.513). Moreover, in the eastern region the agglomeration degree reduced from 1.477 to 1.329. In the middle region it rose from 0.646 to 0.802. The agglomeration degree based on the geographical area in the western region increased from 0.270 to 0.277 while the values in Tibet, Qinghai, Xinjiang were less than 0.1. In the eastern region, it reduced from 1.447 to 1.329. It increased from 1.149 to 1.423 in the middle region. CONCLUSIONS: The number of general practitioners has increased significantly in China. It has a fair allocation based on population. However, the equity based on geographical area is low and uneven in different regions with large regional differences. In the western region, there is an allocation shortage with respect to population and geographical area. Concerned departments should establish and improve the incentive and performance appraisal mechanisms of general practitioners. The Internet + should be used to empower their service capacity and efficiency. The educational input should be increased for the western region and government should encourage the eastern region to support the western region. BioMed Central 2021-02-15 /pmc/articles/PMC7885472/ /pubmed/33588888 http://dx.doi.org/10.1186/s12960-021-00561-8 Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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 Yu, Qianqian Yin, Wenqiang Huang, Dongmei Sun, Kui Chen, Zhongming Guo, Hongwei Wu, Di Trend and equity of general practitioners’ allocation in China based on the data from 2012–2017 |
title | Trend and equity of general practitioners’ allocation in China based on the data from 2012–2017 |
title_full | Trend and equity of general practitioners’ allocation in China based on the data from 2012–2017 |
title_fullStr | Trend and equity of general practitioners’ allocation in China based on the data from 2012–2017 |
title_full_unstemmed | Trend and equity of general practitioners’ allocation in China based on the data from 2012–2017 |
title_short | Trend and equity of general practitioners’ allocation in China based on the data from 2012–2017 |
title_sort | trend and equity of general practitioners’ allocation in china based on the data from 2012–2017 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885472/ https://www.ncbi.nlm.nih.gov/pubmed/33588888 http://dx.doi.org/10.1186/s12960-021-00561-8 |
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