| 引用本文：高一博, 王兆旸, 吕博, 赵婧萱, 谢佳鑫, 薛咏茜, 高雨润, 孟开.我国药品集中带量采购政策扩散分析[J].中国卫生政策研究,2024,17(9):76-82 |
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| 我国药品集中带量采购政策扩散分析 |
| 投稿时间：2024-04-28 修订日期：2024-09-07 PDF全文浏览 HTML全文浏览 |
| 高一博1, 王兆旸1, 吕博1, 赵婧萱1, 谢佳鑫1, 薛咏茜1, 高雨润1, 孟开1,2 |
1. 首都医科大学公共卫生学院 北京 100069;
2. 首都医科大学附属北京天坛医院 北京 100070 |
| 摘要:目的： 开展我国近年来药品集中带量采购相关的政策扩散分析，为我国药品集中带量采购政策的制定提供参考依据。方法： 通过中央及各省级政府官网、卫生健康委员会官网、医疗保障局官网等途径，检索2009年1月1日—2023年12月31日涉及药品集中带量采购的政策文件。基于政策扩散理论，采用参照网络分析法分析政策扩散的强度、广度和速度，使用政策关键词时序分析法分析政策的扩散方向。结果： 在药品集中带量采购政策发展的两个阶段中，医保治理阶段的政策出台量达到高峰；扩散强度、广度最高的前十项政策均为中央政策，并且多以通知和意见类为主, 此外，较新颁布的政策，扩散速度更快；扩散方向上，自上而下和平行扩散两种扩散趋势较为明显。结论： 我国药品集中带量采购政策扩散以中央政策为重点，扩散速度逐年上升，建议加强中央与地方的政策协同，建立全国统一的药品集中带量采购信息平台，并优化各级政府之间的学习和竞争机制，发挥“政策试验”的优势。 |
| 关键词:药品集中带量采购 政策扩散 政策网络分析 政策时序分析 |
| 基金项目:首都医科大学学生科研创新项目(XSKY2022) |
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| Analysis of the policy diffusion of the centralized and volume-based drug procurement in China |
| GAO Yi-bo1, WANG Zhao-yang1, LYU Bo1, ZHAO Jing-xuan1, XIE Jia-xin1, XUE Yong-xi1, GAO Yu-run1, MENG Kai1,2 |
1. School of Public Health, Capital Medical University, Beijing100069, China;
2. Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China |
| Abstract:Objective: To carry out the policy diffusion analysis of centralized and volume-based drug procurement in China in recent years, and to provide reference for the formulation of centralized and volume-based drug procurement policy. Methods: Through the official websites of the central and provincial governments, the official websites of the Health Commission and the official websites of the Medical Security Bureau, the policy documents related to centralized and volume-based drug procurement from January 1, 2009 to December 31, 2023 were searched. Based on the policy diffusion theory, the reference network analysis method is used to analyze the intensity, breadth and speed of policy diffusion, and the sequential analysis method of policy keywords is used to analyze the direction of policy diffusion. Results: In the two stages of the development of centralized and volume-based drug procurement policy, the number of policies issued in the medical insurance management stage reached the peak; The top ten policies with the highest diffusion intensity and breadth are all central policies, and most of them are notices and opinions. In addition, the newly promulgated policies have a faster diffusion speed. In the direction of diffusion, top-down and parallel diffusion trends are obvious. Conclusion: The diffusion of centralized and volume-based drug procurement policy in China focuses on the central policy, and the diffusion speed is increasing year by year. It is suggested to strengthen the policy coordination between the central and local governments, establish a unified national information platform for centralized drug procurement, optimize the learning and competition mechanism between governments at all levels, and give play to the advantages of “policy experiment”. |
| Key words:Centralized and volume-based drug procurement Policy diffusion Policy network analysis Policy timing analysis |
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