| Literature DB >> 31277652 |
Chee-Ruey Hsieh1, Chengxiang Tang2,3.
Abstract
BACKGROUND: Medical education is critical and the first step to foster the competence of a physician. Unlike developed countries, China has been adopting a system of multi-tiered medical education to training physicians, which is featured by the provision of an alternative lower level of medical practitioners, or known as a feldsher system since the 1950s. This study aimed to illustrate the impact of multi-tiered medical education on both the equity in the delivery of health care services and the efficiency of the health care market.Entities:
Keywords: Barefoot doctor; China; Medical education; Physician
Year: 2019 PMID: 31277652 PMCID: PMC6612177 DOI: 10.1186/s12960-019-0382-4
Source DB: PubMed Journal: Hum Resour Health ISSN: 1478-4491
Fig. 1China’s doctors and assistant doctors by education level, 2002–2014. Sources: Health Statistical Yearbook of China (various years). Notes: (1) Data for 2003–2004 and 2006–2008 are not available. (2) Bachelor or above refers to the category that doctors have educational achievement high than a bachelor degree, including bachelor, master, and doctorate degrees. Vocational diploma refers to a junior college degree (Zhuan Ke) or a junior tertiary education, generally including 3-year post high school education; secondary vocational diploma or below refers to both secondary vocational diploma (Zhong Zhuan) and high school education
The evolution of medical education in China
| Time period | Events (major contents of education reform) |
|---|---|
| 1949 | Adopted the Soviet model of autonomous medical universities. |
| 1966–1976 | Culture revolution: medical education was disrupted. |
| 1998 | Introducing education reform that stand-alone medical institutions and schools were merged into comprehensive universities. |
| 2009 | The government adopted a reform plan that aims to phasing-out 3-year medical program at secondary level. |
| 2013 | The government initiated a plan to “standardize” the quality of medical education by launching a new system called 5+3: 5-year undergraduate study plus 3-year residency. |
Fig. 2Time trend of medical graduates by education level, 1950–1980, and enrolled medical students by education level, 1985–2014. Source: Health Statistical Yearbook of China (various years)
Fig. 3Educational distribution of newly licensed physicians, 2005–2015. Source: National Center for Medical Examination in China (various years)
Fig. 4Predicted stock change of physicians by education level, 2010–2035. Notes: (1) The change of education structure is predicted based on scenario 2
Distribution of doctors (including assistant doctors) by education level in 2005 and 2014
| Educational level | Urban hospitals (%) | Rural township hospitals (%) | ||
|---|---|---|---|---|
| 2005 | 2014 | 2005 | 2014 | |
| Bachelor or above | 47.2 | 65.7 | 3.9 | 11.9 |
| Vocational diploma | 32.2 | 24.1 | 28.8 | 42.5 |
| Secondary vocational diploma or below | 20.6 | 10.2 | 67.3 | 45.6 |
Sources: Health Statistical Yearbook of China 2006 and 2015
Regression analysis of the physician’s choice on the practice location between urban and rural areas
| Dependent variable | Logit model: urban (= 1) vs. rural (= 0) | |
|---|---|---|
| (1) Odds ratio | (2) Odds ratio | |
| Higher education | ||
| College diploma (dummy) | 2.748*** [2.581, 2.926] | 2.699*** [2.516, 2.895] |
| Bachelor degree or above (dummy) | 34.480*** [31.665, 37.546] | 19.591*** [17.809, 21.552] |
| Age | 1.043*** [1.040, 1.047] | 1.040*** [1.037, 1.043] |
| Male | 0.435*** [0.408, 0.464] | 0.474*** [0.441, 0.509] |
| Fixed effects | County | |
| Number of observations | 36 674 | 36 674 |
| Log-likelihood function | − 1.59e+04 | − 1.34e+04 |
| Chi squared | 10 950.468*** | 3 824.568*** |
| Pseudo | 0.257 | 0.356 |
| BIC | 31 759.125 | 26 834.060 |
Source: 2009 Fujian province database is a cross-sectional database that collected basic characteristics of human resources for health in all of the health institutes
Exponentiated coefficients are presented in the table; confidence intervals in parentheses
*** denote statistical significance at the 1% levels
Fig. 5Time trend of physicians’ density between urban and rural area, 2005–2015. Source: Health Statistical Yearbook of China (various years)
Regression analysis of the physician’s choice on the practice location between large and small hospitals
| Dependent variable | Ordered probit model: hospital size | ||
|---|---|---|---|
| (1) | (2) | ||
| Higher education | |||
| College diploma (dummy) | 0.513*** (0.017) | 0.559*** (0.022) | |
| Bachelor degree or above (dummy) | 1.759*** (0.016) | 1.717*** (0.027) | |
| Age | 0.018*** (0.001) | 0.019*** (0.001) | |
| Male | − 0.381*** (0.013) | − 0.406*** (0.022) | |
| Cut1 | Constant | 0.590*** (0.029) | − 24.252 (596.049) |
| Cut2 | Constant | 1.860*** (0.030) | − 19.456 (596.048) |
| Cut3 | Constant | 3.012*** (0.032) | − 5.556 (576.072) |
| Fixed effects | COUNTY | ||
| Number of observations | 36 674 | 36 674 | |
| Log-likelihood function | − 4.03e+04 | − 1.25e+04 | |
| Chi squared | 14 936.433*** | 70 457.985*** | |
| Pseudo | 0.156 | 0.738 | |
| BIC | 80 659.477 | 26 115.339 | |
Source: 2009 Fujian province database is a cross-sectional database that collected basic characteristics of human resources for health in all of the health institutes
*** denote statistical significance at the 1% levels. standard errors are reported in the parentheses
cut1—this is the estimated cutpoint on the latent variable used to differentiate township-level hospital from county-level, city-level, and provincial-level hospitals when values of the predictor variables are evaluated at zero
cut2—this is the estimated cutpoint on the latent variable used to differentiate township-level and county-level hospital from city-level and provincial-level hospitals when values of the predictor variables are evaluated at zero
cut3—this is the estimated cutpoint on the latent variable used to differentiate township-level, county-level, and city-level hospitals from provincial level hospitals when values of the predictor variables are evaluated at zero