Literature DB >> 32182945

The Efficiency of Primary Health Care Institutions in the Counties of Hunan Province, China: Data from 2009 to 2017.

Kaili Zhong1, Lv Chen1, Sixiang Cheng1, Hongjun Chen2, Fei Long2.   

Abstract

This study aimed to estimate the efficiency and its influencing factors of Primary Health Care Institutions (PHCIs) in counties in Hunan Province, China, and put forward feasible suggestions for improving the efficiency of PHCIs in Hunan Province. We applied the Input-Oriented Data Envelopment Analysis (DEA) method and the Malmquist Index Model to estimate the efficiency of PHCIs in 86 counties in Hunan Province from 2009 to 2017. Then, the Tobit model was used to estimate the factors that influence the efficiency of PHCIs. Since the implementation of the new health-care reform in 2009, the number of health resources in PHCIs in Hunan Province has increased significantly, but most counties' PHCIs remain inefficient. The efficiency of PHCIs is mainly affected by the total population, city level, the proportion of health technicians and the proportion of beds, but the changes in per capita GDP have not yet played a significant role in influencing efficiency. In the future, the efficiency of PHCIs should be improved by increasing medical technology skills and enthusiasm of health technicians and by improving the payment policies of medical insurance funds.

Entities:  

Keywords:  Malmquist index model; data envelopment analysis; primary health care; universal health coverage

Year:  2020        PMID: 32182945     DOI: 10.3390/ijerph17051781

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  2 in total

1.  Development trend of primary healthcare after health reform in China: a longitudinal observational study.

Authors:  Jie Feng; Yanhong Gong; Hui Li; Jianxiong Wu; Zuxun Lu; Guopeng Zhang; Xuan Zhou; Xiaoxv Yin
Journal:  BMJ Open       Date:  2022-06-08       Impact factor: 3.006

2.  Measuring Regional Eco-Efficiency in China (2003-2016): A "Full World" Perspective and Network Data Envelopment Analysis.

Authors:  Weizhen Ren; Zilong Zhang; Yueju Wang; Bing Xue; Xingpeng Chen
Journal:  Int J Environ Res Public Health       Date:  2020-05-15       Impact factor: 3.390

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.