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The degree of equity and coupling coordination of staff in primary medical and health care institutions in China 2013–2019

BACKGROUND: Primary medical and health care facilities are the first lines of defense for the health of population. This study aims to evaluate the current state and trend of equity and coupling coordination degree (CCD) of staff in primary medical and health care institutions (SPMHCI) based on the...

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Autores principales: Ren, Weicun, Tarimo, Clifford Silver, Sun, Lei, Mu, Zihan, Ma, Qian, Wu, Jian, Miao, Yudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557061/
https://www.ncbi.nlm.nih.gov/pubmed/34717630
http://dx.doi.org/10.1186/s12939-021-01572-6
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author Ren, Weicun
Tarimo, Clifford Silver
Sun, Lei
Mu, Zihan
Ma, Qian
Wu, Jian
Miao, Yudong
author_facet Ren, Weicun
Tarimo, Clifford Silver
Sun, Lei
Mu, Zihan
Ma, Qian
Wu, Jian
Miao, Yudong
author_sort Ren, Weicun
collection PubMed
description BACKGROUND: Primary medical and health care facilities are the first lines of defense for the health of population. This study aims to evaluate the current state and trend of equity and coupling coordination degree (CCD) of staff in primary medical and health care institutions (SPMHCI) based on the quantity and living standards of citizens in China 2013–2019. The research findings are expected to serve as a guideline for the allocation of SPMHCI. METHODS: The data used in this study including the quantity and living standards of citizens, as well as the number of SPMHCI in 31 provincial administrative regions of China, were obtained from the China Statistical Yearbook and the China Health Statistics Yearbook. The equity and CCD for SPMHCI were analyzed by using the Gini coefficient and the CCD model, and the Grey forecasting model GM (1, 1) (GM) was used to predict the equity and CCD from 2020 to 2022. RESULTS: Between 2013 and 2019, the number of SPMHCI increased from 3.17 million to 3.50 million, and the population-based Gini coefficient declined from 0.0704 to 0.0513. In urban and rural areas, the Gini coefficients decreased from 0.1185 and 0.0737 to 0.1025 and 0.0611, respectively. The CCD between SPMHCI and citizens’ living standards (CLS) changed from 0.5691, 0.5813, 0.5818 to 0.5650, 0.5634, 0.6088 at national, urban, and rural levels, respectively. The forecasting results of GM revealed that at the national, urban and rural levels from 2020 to 2022, the Gini coefficient would rise at a rate of − 13.53, − 5.77%, and − 6.10%, respectively, while the CCD would grow at a rate of - 0.89, 1.06, and 0.87%, respectively. CONCLUSIONS: In China, the number of SPMHCI has increased significantly, with an equitable allocation based on the population. The interaction between SPMHCI and CLS is sufficient, but the degree of mutual promotion is moderate. The government could optimize SPMHCI and improve the chronic disease management services to improve CLS and to ensure the continued operation of primary medical and health care institutions in urban areas. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-021-01572-6.
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spelling pubmed-85570612021-11-01 The degree of equity and coupling coordination of staff in primary medical and health care institutions in China 2013–2019 Ren, Weicun Tarimo, Clifford Silver Sun, Lei Mu, Zihan Ma, Qian Wu, Jian Miao, Yudong Int J Equity Health Research BACKGROUND: Primary medical and health care facilities are the first lines of defense for the health of population. This study aims to evaluate the current state and trend of equity and coupling coordination degree (CCD) of staff in primary medical and health care institutions (SPMHCI) based on the quantity and living standards of citizens in China 2013–2019. The research findings are expected to serve as a guideline for the allocation of SPMHCI. METHODS: The data used in this study including the quantity and living standards of citizens, as well as the number of SPMHCI in 31 provincial administrative regions of China, were obtained from the China Statistical Yearbook and the China Health Statistics Yearbook. The equity and CCD for SPMHCI were analyzed by using the Gini coefficient and the CCD model, and the Grey forecasting model GM (1, 1) (GM) was used to predict the equity and CCD from 2020 to 2022. RESULTS: Between 2013 and 2019, the number of SPMHCI increased from 3.17 million to 3.50 million, and the population-based Gini coefficient declined from 0.0704 to 0.0513. In urban and rural areas, the Gini coefficients decreased from 0.1185 and 0.0737 to 0.1025 and 0.0611, respectively. The CCD between SPMHCI and citizens’ living standards (CLS) changed from 0.5691, 0.5813, 0.5818 to 0.5650, 0.5634, 0.6088 at national, urban, and rural levels, respectively. The forecasting results of GM revealed that at the national, urban and rural levels from 2020 to 2022, the Gini coefficient would rise at a rate of − 13.53, − 5.77%, and − 6.10%, respectively, while the CCD would grow at a rate of - 0.89, 1.06, and 0.87%, respectively. CONCLUSIONS: In China, the number of SPMHCI has increased significantly, with an equitable allocation based on the population. The interaction between SPMHCI and CLS is sufficient, but the degree of mutual promotion is moderate. The government could optimize SPMHCI and improve the chronic disease management services to improve CLS and to ensure the continued operation of primary medical and health care institutions in urban areas. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-021-01572-6. BioMed Central 2021-10-30 /pmc/articles/PMC8557061/ /pubmed/34717630 http://dx.doi.org/10.1186/s12939-021-01572-6 Text en © The Author(s) 2021 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
Ren, Weicun
Tarimo, Clifford Silver
Sun, Lei
Mu, Zihan
Ma, Qian
Wu, Jian
Miao, Yudong
The degree of equity and coupling coordination of staff in primary medical and health care institutions in China 2013–2019
title The degree of equity and coupling coordination of staff in primary medical and health care institutions in China 2013–2019
title_full The degree of equity and coupling coordination of staff in primary medical and health care institutions in China 2013–2019
title_fullStr The degree of equity and coupling coordination of staff in primary medical and health care institutions in China 2013–2019
title_full_unstemmed The degree of equity and coupling coordination of staff in primary medical and health care institutions in China 2013–2019
title_short The degree of equity and coupling coordination of staff in primary medical and health care institutions in China 2013–2019
title_sort degree of equity and coupling coordination of staff in primary medical and health care institutions in china 2013–2019
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557061/
https://www.ncbi.nlm.nih.gov/pubmed/34717630
http://dx.doi.org/10.1186/s12939-021-01572-6
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