| 引用本文：王虎峰, 张昱, 张琪, 袁源, 段蔷.从创新扩散视角看优质医疗资源扩容影响因素——基于中国胸痛中心建设的实证研究[J].中国卫生政策研究,2024,17(2):32-37 |
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| 从创新扩散视角看优质医疗资源扩容影响因素——基于中国胸痛中心建设的实证研究 |
| 投稿时间：2023-11-04 修订日期：2023-12-08 PDF全文浏览 HTML全文浏览 |
| 王虎峰1,2, 张昱1,2, 张琪3, 袁源4, 段蔷4 |
1. 中国人民大学公共管理学院 北京 100872;
2. 中国人民大学医改研究中心 公共健康与疾控文理交叉平台 北京 100872;
3. 重庆市卫生健康委员会 重庆 401147;
4. 天津市卫生健康委员会 天津 300070 |
| 摘要:目的：本研究在创新扩散理论视角下，分析中国胸痛中心扩散影响因素，为优质医疗资源扩容提供参考依据。方法：收集我国大陆地区31个省级行政区2014—2022年胸痛中心面板数据，以随机效应模型和固定效应模型为基本模型，创新运用空间杜宾模型，定量分析我国胸痛中心建设创新扩散影响因素。结果：固定效应模型与空间杜宾模型结果保持一致。公众需求没有对胸痛中心采用率产生显著影响，政策支持、经济水平、城镇化水平均对胸痛中心采用率产生正向影响。空间杜宾模型进一步证实了公共服务创新扩散存在邻近效应。结论：建议市县各级卫生健康行政部门对辖区胸痛中心建设予以政策支持。采取输送技术、结对帮扶等方式，提高经济发展水平较低地区胸痛中心建设成功率。通过学术会议、交流培训等方式改善农村地区学术信息滞后、信息茧房现状。 |
| 关键词:胸痛中心 创新扩散 健康 空间杜宾模型 |
| 基金项目:国家社会科学基金重大项目(22ZDA096)；中国人民大学“中央高校建设世界一流大学(学科)和特色发展引导专项资金”(2022057) |
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| The influencing factors of the expansion of high-quality medical resources from the perspective of innovation diffusion: An empirical study based on the chest pain center construction in China |
| WANG Hu-feng1,2, ZHANG Yu1,2, ZHANG Qi3, YUAN Yuan4, DUAN Qiang4 |
1. School of Public administration and Policy, Renmin University of China, Beijing 100872, China;
2. Health Reform and Development Center of Renmin University, Public Health & Disease Control and Prevention, Beijing 100872, China;
3. Chongqing Municipal Health Commission, Chongqing 401147, China;
4. Tianjin Municipal Health Commission, Tianjin 300070, China |
| Abstract:Objective: From the perspective of innovative diffusion theory, the study analyzed the diffusion influencing factors of chest pain center in China, so as to provide a reference for the expansion of high-quality medical resources. Methods: The panel data of chest pain center from 31 provincial administrative regions in mainland China from 2014 to 2022 was collected, with the Random Effect Model and Fixed Effect Model as the basic model, and the Spatial Durbin Model was innovatively used to quantitatively analyze the influencing factors of the innovation diffusion of chest pain center construction in China. Results: The fixed effect model remained consistent with the Spatial Durbin Model results. Public demand did not have a significant impact on the adoption rate of chest pain centers, and policy support, economic level and urbanization level all had a significant impact on the adoption rate of chest pain centers, which were positive effects. The Spatial Durbin Model further demonstrated the proximity effect of the diffusion of public service innovation. Conclusion: It is suggested that the health administrative departments at municipality and county levels should give policy support to the construction of chest pain centers in their jurisdiction. It is suggested to adopt delivering technology and pair assistance to improve the success rate of chest pain center construction in areas with low economic development level. Academic conferences and exchange and training should be used to improve the current situation of academic information lag and information cocoon housing in rural areas. |
| Key words:Chest pain center Innovation diffusion Health Spatial Durbin Model |
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