Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Feb 15;19(1):20.
doi: 10.1186/s12960-021-00561-8.

Trend and equity of general practitioners' allocation in China based on the data from 2012-2017

Qianqian Yu  1 , Wenqiang Yin  2 , Dongmei Huang  1 , Kui Sun  1 , Zhongming Chen  1 , Hongwei Guo  1 , Di Wu  3
Affiliations

Trend and equity of general practitioners' allocation in China based on the data from 2012-2017

Qianqian Yu et al. Hum Resour Health. .

Abstract

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.

Keywords: Agglomeration analysis; Equity evaluation; General practitioners; Resource allocation.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Lorenz curve for distribution of GPs in China in 2012
Fig. 2
Fig. 2
Lorenz curve for distribution of GPs in China in 2013
Fig. 3
Fig. 3
Lorenz curve for distribution of GPs in China in 2014
Fig. 4
Fig. 4
Lorenz curve for distribution of GPs in China in 2015
Fig. 5
Fig. 5
Lorenz curve for distribution of GPs in China in 2016
Fig. 6
Fig. 6
Lorenz curve for distribution of GPs in China in 2017
See this image and copyright information in PMC

References

    1. Organization WH. Research for Universal Health Coverage. The World Health Report 2013. Research for universal health coverage, 2013.
    1. Qin JM, Zhang LF, Lin CM, Zhang X, Zhang YC. Scale and allocation of human resources in primary health care system in China after new medical reform. Chin Gen Pract. 2016;19(4):378–382.
    1. Doull L, Campbell F. Human resources for health in fragile states. Lancet. 2008;371(9613):626–627. doi: 10.1016/S0140-6736(08)60278-0. - DOI - PubMed
    1. Cheng ZQ, Ma JQ. Evolution and measures of china's population ageing. Acad Exchange. 2018;12:101–109.
    1. Tang SL, John E, Long Q. China's biggest, most neglected health challenge: Non-communicable diseases. Chin J Health Policy. 2013;6(10):6–11. - PMC - PubMed

Publication types

LinkOut - more resources