|
|
Analysis on the fairness of the allocation of TCM hospitals in 31 provinces of China in 2016 |
WANG Xi GUO Yiwei BAI Qian HUANG Lieyu LI Shuo YANG Yong SHI Xuefeng▲ |
School of Management, Beijing University of Chinese Medicine, Beijing 100029, China |
|
|
Abstract Objective To analyze the fairness of the financial input and resource allocation of Chinese medicine hospitals in 2016, and provide suggestions for the improvement of fairness. Methods Descriptive statistical analysis, Gini Coefficient and Lorenz curve were used to analyze the relevant indicators in the Chinese Statistical Yearbook of Chinese Medicine 2016 and the Chinese Statistical Yearbook 2017 and the fairness of financial investment and resource allocation in the national TCM hospitals in 2016 were studied. Results Between the provinces, the proportion of investment in Chinese medicine hospitals and medical and health institutions varied greatly, with the highest ratio being 2.75 times that of the lowest ratio. The number of TCM hospitals per million people was the highest in Qinghai Province, which was 6.46/1 million. The number of beds per 10 000 population was the highest in Beijing, and the number of beds was 10.48 per 10 000 people. The population of 10 000 people had the largest number of practitioners, at 7.83/10, 000. Conclusion There is still a lack of emphasis on the development of traditional Chinese medicine in various provinces in China. It is imperative to implement the Party′s policy of "Be Equal to Chinese and Western Medicine". Increasing investment in TCM undertakings and taking into account efficiency in the context of ensuring fairness are a good way for the development of TCM practitioners.
|
|
|
|
|
[1] 国务院印发《中医药发展战略规划纲要(2016-2030年)》[J].中国医药导报,2016,13(6):193.
[2] 国家中医药管理局.全国中医药统计摘编[M].北京:国家中医药管理局规划财务司,2016.
[3] 国家统计局.中国统计年鉴[M].北京:中国统计出版社,2017.
[4] 吴凌放.上海医生人力资源区域分布公平性及影响因素研究[D].上海:上海社会科学院,2017.
[5] Anand S. Measuring health workforce inequalities:methods and application to China and India [M]. Geneva:World Health Organization,2010.
[6] Adams J. Inequity in social exchange [A]. Advances in Experimental Social Psychology [M]. New York:Academic Press,1965:267-299.
[7] 徐颖.我国省际中医医院卫生资源利用效率与配置公平性研究[D].南京:南京中医药大学,2016.
[8] 卢秀芳,刘楚,李超凡,等.我国中医药人员配置公平性研究:基于基尼系数与泰尔指数[J].中国卫生经济,2017, 36(10):46-50.
[9] 吴化宇,高彩云,刘玉,等.我国中医人力资源配置现状及公平性研究[J].中国中医药信息杂志,2018,25(3):7-11.
[10] 何宁,辛怡.天津市卫生资源配置状况及公平性研究[J].中国卫生事业管理,2010,27(3):174-176.
[11] 李贞玉,孔祥金,任苒.辽宁卫生资源配置公平性发展趋势研究:基于Gini系数和Theil指数的分析[J].中国卫生经济,2013,32(4):12-14.
[12] 朱保群,匡莉,冼明甫.广西卫生资源配置公平性分析[J].中国卫生政策研究,2013,6(6):58-61.
[13] Liu W,Liu Y,Peter T,et al. National equity of health resource allocation in China:data from 2009 to 2013 [J]. Int J Equity Health,2016,15(1):68.
[14] 张楠,孙晓杰,李成,等.基于泰尔指数的我国卫生资源配置公平性分析[J].中国卫生事业管理,2014,31(2):88-91.
[15] 龙文磊,闫志来,庞震苗,等.广东省中医药人力资源公平性评价[J].中国卫生事业管理,2017,34(11):837-841.
[16] 张婷.政府卫生支出对健康福利的影响[D].西安:西北大学,2018.
[17] 刘晓英,杨土保,印茂峰.深化城区基层公立医院改革发展路径选择[J].现代医院,2018,18(12):1717-1722.
[18] 赵颖波,王建伟,尹畅,等.基于洛伦兹曲线和基尼系数的我国卫生资源配置公平性研究[J].中国医院,2018, 22(2):22-25.
[19] 尹继佐.关于科学解读基尼系数的思考[J].上海人大月刊,2006(4):44.
[20] 赵红,王小合,应心,等.Lorenz曲线和Gini系数在卫生资源配置公平性评价应用中的几个问题与思考[J].中国卫生经济,2012,31(4):25-27. |
|
|
|