Textual quantitative analysis of rural-oriented tuition-waived medical student training policy in China from the perspective of policy instruments
10.3760/cma.j.cn116021-20210612-01406
- VernacularTitle:政策工具视角下农村订单定向医学生的培养政策文本分析
- Author:
Jing TIAN
1
;
Qinglin LI
;
Rui GAO
;
Liyan ZHU
;
Chenxi ZHAO
;
Min WANG
;
Yanping WANG
;
Shengyan ZHOU
;
Depin CAO
Author Information
1. 哈尔滨医科大学卫生管理学院，哈尔滨 150081
- Keywords:
Rural-oriented tuition-waived medical students;
Training policy;
Policy tool;
Textual quantitative analysis
- From:
Chinese Journal of Medical Education Research
2023;22(9):1299-1303
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the use of policy tools for rural-oriented tuition-waived medical student training policy and to provide relevant suggestions for the continuous promotion of the policy.Methods:With "rural-oriented tuition-waived medical students" as the key word, the policy texts were collected and screened from government portals. Using ROTHWELL disaggregated method to build the rural order directional medical students training policy analysis framework, applying Excel 2019 software for classification and coding of policy texts.Results:A total of 13 rural-oriented medical student training policy texts were screened and obtained. The X dimension of the policy analysis framework for rural order-oriented medical student training included three policy tools, namely, supply, environment and demand, and the Y dimension included three policy objectives, namely, available, usable, and retained. In X dimension, environmental policy tools were most frequently used. In Y dimension, the "retained" target had the highest frequency of use.Conclusion:There were differences in the frequency of using policy tools for targeted medical student cultivation in different policies. The frequency of using environmental tools is higher, which highlighted the attention of the state to medical and health services. The internal structure of policy tools is unbalanced, so the configuration of supply-oriented policy tools should be optimized, and the construction of demand-oriented policy tools should be emphasized. It is suggested to continuously optimize the combination of policy tools, improve the compatibility between policy tools and rural order-oriented medical student training, and pay attention to the sustainability of policy tools.
