Evidence map›Paper›PMID 34717630›Full record

ArticleInternational journal for equity in health2021

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

Weicun Ren, Clifford Silver Tarimo, Lei Sun, Zihan Mu, Qian Ma, Jian Wu, Yudong Miao

Abstract read
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Article in International journal for equity in health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Weicun RenCollege of Public Health, Zhengzhou University, 100, Science Avenue, Gaoxin District, Zhengzhou, 450001, Henan, China.
Clifford Silver TarimoCollege of Public Health, Zhengzhou University, 100, Science Avenue, Gaoxin District, Zhengzhou, 450001, Henan, China.
Lei SunDepartment of Health Management, Sanquan College of Xinxiang Medical University, Xinxiang, 453000, Henan, China.
Zihan MuCollege of Public Health, Zhengzhou University, 100, Science Avenue, Gaoxin District, Zhengzhou, 450001, Henan, China.
Qian MaDepartment of Health Management, Sanquan College of Xinxiang Medical University, Xinxiang, 453000, Henan, China.
Jian WuCollege of Public Health, Zhengzhou University, 100, Science Avenue, Gaoxin District, Zhengzhou, 450001, Henan, China.
Yudong MiaoCollege of Public Health, Zhengzhou University, 100, Science Avenue, Gaoxin District, Zhengzhou, 450001, Henan, China. meldon@zzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary 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.

methodsThe 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.

resultsBetween 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.

conclusionsIn 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.

Indexed as

Health EquityPrimary Health CareChinaDelivery of Health CareHumansRural PopulationSocioeconomic FactorsCoupling coordination degreeEquityGM (1, 1)Medical staffPrimary medical and health care institutions

Identifiers

PMID34717630
PMCPMC8557061

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.