A quantitative analysis of China's diabetes prevention and treatment service policies texts from the perspective of policy instrument and tertiary prevention
10.3969/j.issn.1674-2982.2024.11.009
- VernacularTitle:政策工具和三级预防视角下我国糖尿病防治服务政策文本量化分析
- Author:
Ting CHEN
1
;
Qing-yu ZHOU
;
Chuan PU
;
Zhi HU
;
Cheng-yue LI
;
Mo HAO
Author Information
1. 复旦大学卫生发展战略研究中心 上海 200032;健康相关社会风险预警协同创新中心 上海 200032
- Publication Type:Journal Article
- Keywords:
Diabetes prevention and treatment;
Policy tools;
Tertiary prevention;
Two-dimensional framework
- From:
Chinese Journal of Health Policy
2024;17(11):67-74
- CountryChina
- Language:Chinese
-
Abstract:
Objective:This study aims to analyze the policy tools used in China's diabetes prevention and control services and provide recommendations for improving the diabetes policy system in China. Methods:From the perspectives of the three levels of prevention and policy tools,a two-dimensional framework of"Policy Tool Types-Three Levels of Prevention (including service categories)"was constructed through content analysis and quantitative analysis methods. This framework was used to analyze the national-level diabetes prevention and control service policy entries. Results:A total of 88 policy documents related to diabetes prevention and control services were included in this study. There were 181 codes for the policy tool dimension. From the perspective of policy tools,mandatory policy tools were mainly used to ensure the implementation of services,with the proportions of mandatory,mixed,and voluntary policy tools being 74.6％,19.3％,and 6.1％ respectively,showing significant distribution differences. From the perspective of the three levels of prevention,strategies at all levels were covered broadly,with the proportions of the three levels of prevention being 38.7％,36.5％,and 24.9％ respectively,and internal sub-tools needing optimization. From the perspective of service categories,patient classification and follow-up management,and health education were the most common,while baseline disease surveys were less frequent. There was a lack of targeted policy tools for different types of prevention and control services. Conclusion:The diabetes policy tools exhibit structural imbalances,the use of internal sub-tools needs to be optimized,and there is a significant difference in the distribution of different prevention levels of diabetes. Enhance the precision of policy tools and strengthen the effective combination of different diabetes prevention and control service characteristics with policy tools;optimize the structure of policy tools and emphasize the coordinated operation of policy tools with the three levels of prevention strategies.
