| 引用本文：田雨露, 李叶, 张晨溪, 赖勇强, 李红雨, 刘馨蔚.全周期视角下我国慢性病政策梯度演化与政策工具分析[J].中国卫生政策研究,2024,17(8):43-49 |
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| 全周期视角下我国慢性病政策梯度演化与政策工具分析 |
| 投稿时间：2024-05-28 修订日期：2024-07-15 PDF全文浏览 HTML全文浏览 |
| 田雨露1, 李叶1,2, 张晨溪1, 赖勇强1, 李红雨1, 刘馨蔚1 |
1. 哈尔滨医科大学卫生管理学院 黑龙江哈尔滨 150000;
2. 杭州师范大学公共卫生学院 浙江杭州 310000 |
| 摘要:目的：基于全周期视角，分析我国慢性病政策文本的现状、特点与问题，为后续政策优化提供参考。方法：选取2009—2023年国家层面发布的104份慢性病相关政策文件，采用内容分析法，构建“政策工具—慢性病全周期管理”二维分析框架，进行单维量化分析与二维交叉分析。结果：政策工具的应用存在明显的不均衡，供给型政策工具占比高达63.23%，需求型政策工具使用最少，仅为10.51%；慢性病全周期管理维度，预防、防治、治疗、疗康、康养、全周期分别占比21.01%、24.58%、28.89%、7.32%、4.69%和13.51%，疗康与康养阶段的比重较低；慢性病管理政策各阶段均与供给型政策互动频繁，疗康、康复和全周期阶段与需求型政策工具交叉较少。结论：应调节政策工具运用比例，加强其内部协调性，完善康养与疗康阶段的顶层设计，增强各类型政策工具与慢性病全周期管理的协同交互作用，提升政策总体效能。 |
| 关键词:慢性病 政策工具 全周期管理 文本分析 |
| 基金项目:国家自然科学基金面上项目(72174047;71874045);国家自然科学基金青年项目(71403073) |
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| Analysis of the gradient evolution and policy tools of China's chronic disease policies from the full-cycle perspective |
| TIAN Yu-lu1, LI Ye1,2, ZHANG Chen-xi1, LAI Yong-qiang1, LI Hong-yu1, LIU Xin-wei1 |
1. School of Health Management, Harbin Medical University, Harbin Heilongjiang 150000, China;
2. School of Public Health, Hangzhou Normal University, Hangzhou Zhejiang 310000, China |
| Abstract:Objective: This paper aims to analyze the current status, characteristics, and problems of the policy text of Chinas chronic disease from the perspective of full-cycle, and provide a reference for subsequent policy optimization. Methods: The author selected 104 policy documents on chronic disease published at the national level from 2009 to 2023, used content analysis method, constructed a two-dimensional analysis framework of “policy tools-full-cycle management”, and carried out one-dimensional quantitative analysis and two-dimensional cross-analysis. Results: The application of policy tools is obviously unbalanced, with supply-type policy tools accounting for as much as 63.23%, and demand-type policy tools used the least, only 10.51%. In the dimension of full-cycle management, the proportions of prevention, prevention and treatment, treatment, treatment and rehabilitation, health care, and full-cycle stages are 21.01%, 24.58%, 28.89%, 7.32%, 4.69% and 13.51% respectively. It is noteworthy that the proportions of the treatment and rehabilitation, and health care stages are relatively low. All stages of chronic disease health management interact frequently with supply-type policies, and the treatment and rehabilitation, health care and full-cycle stages cross less with demand-type policy tools. Conclusion: It is necessary to adjust the proportion of policy tools, strengthen their internal coordination, improve the top-level design of treatment and rehabilitation and health care, enhance the synergistic interaction between various types of policy tools and full-cycle management, and improve the overall effectiveness of policies. |
| Key words:Chronic disease Policy tools Full-cycle management Textual analysis |
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