| 引用本文：王虎峰,张昱,赵佳,等.政策引导、创新扩散与健康需求的传导路径研究基于胸痛中心诊疗模式扩散的实证分析[J].中国卫生政策研究,2025,18(5):20-26 |
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| 政策引导、创新扩散与健康需求的传导路径研究基于胸痛中心诊疗模式扩散的实证分析 |
| 投稿时间：2025-04-20 修订日期：2025-05-15 PDF全文浏览 HTML全文浏览 |
| 王虎峰1,2，张昱1,2，赵佳3，李春洁3 |
| 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 中国人民大学健康与医改政策实验室 北京 100872;3.天津市胸科医院 天津 300222 |
| 摘要:目的 研究政策引导、创新扩散和健康需求三者之间传导路径，为地方政府加快建设分级诊疗体系提供理论参考和政策建议。方法 基于公共价值理论，通过政策强度量化模型和中介效应验证模型，阐释政策引导、创新扩散对健康需求的具体影响机制。结果 地方政府政策引导对居民急诊急救需求回归系数为0.677，地方政府政策引导对医院诊疗模式创新扩散的回归系数为0.374，医院诊疗模式创新扩散对居民急诊急救需求的回归系数为0.689，医院诊疗模式创新扩散中介效应占比为38.1%，地级区划诊疗模式创新扩散中介效应占比为68.6%。结论和建议：地方政府政策引导显著正向影响居民急诊急救需求，创新扩散在政策引导与健康需求之间发挥中介作用。建议地方政府重视公共政策引导作用，提高胸痛中心引导政策强度；发挥创新扩散中介作用，从医院和行政区划两条路径推动诊疗模式创新扩散。 |
| 关键词:政策引导 创新扩散 健康需求 急诊急救 胸痛中心 |
| 基金项目: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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| Research on the transmission pathways of policy guidance， innovation diffusion， and health demand： An empirical analysis based on the diffusion of the chest pain center treatment model |
| WANG Hu-feng1,2, ZHANG Yu1,2, ZHAO Jia3, LI Chun-jie3 |
| 1.School of Public administration and Policy， Renmin University of China， Beijing 100872， China;2.Health Reform and Development Center of Renmin University of China， Health and Reform Policy Laboratory， Renmin University of China， Beijing 100872， China;3.Tianjin Chest Hospital， Tianjin 300222， China |
| Abstract:Objective To study the transmission pathways among empirical policy guidance， innovation diffusion， and health demands， providing theoretical references and policy recommendations for local governments to accelerate the establishment of hierarchical medical system.Methods Based on the public value theory， and employed policy intensity quantification model and mediation effect validation model to elucidate the specific impact mechanisms of policy guidance and innovation diffusion on health demand.Results The regression coefficient of local government policy guidance on residents’ emergency care demand was 0.677， the regression coefficient of local government policy guidance on treatment model innovation diffusion in hospitals was 0.374， and the regression coefficient of treatment model innovation diffusion in hospitals on residents’ emergency care demand was 0.689. The mediating effect of treatment model innovation diffusion in hospitals accounted for 38.1% of the total effect. The mediating effect of treatment model innovation diffusion in municipal administrative divisions accounted for 68.6% of the total effect.Conclusions and Suggestions： Local government policy guidance had a significant positive impact on residents’ emergency care demand， innovation diffusion played a mediating role between policy guidance and health demand. It is recommended that local governments should pay attention to the guiding role of public policies and improve the intensity of chest pain center policies， should play the role of innovation diffusion intermediaries and to promote treatment model innovation diffusion in hospitals and administrative divisions two paths. |
| Key words:Policy guidance Innovation diffusion Health demand Emergency care Chest pain center |
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