整体性治理视域下医改监测病种(组)筛选方法及建议  

Screening Methods and Suggestions for Monitoring Disease Groups of Healthcare Reform under the Perspective of Holistic Governance

在线阅读下载全文

作  者:刘家宇 张媚[1] 袁小丽 吴柜坊 LIU Jiayu;ZHANG Mei;YUAN Xiaoli;WU Guifang(Chengdu University of Traditional Chinese Medicine,Chengdu Sichuan 611100,China;不详)

机构地区:[1]成都中医药大学,四川成都611100

出  处:《卫生经济研究》2024年第4期10-13,共4页

基  金:杏林学者“老年人心身健康服务新模式下中医药HTA技术评价方法及价值提升策略”(QNTD2021003)。

摘  要:目的:论证医改监测病种(组)筛选的功能价值、技术方法,为各地构建科学合理的医改政策监测工具提供参考建议。方法:采用熵权(TOPSIS)、非整秩次RSR、二者模糊联合法,实证分析监测病种(组)的政策效应。结果:熵权法结果显示,病例总数指标权重最大(0.178);TOPSIS法结果显示,颈腰背疾患的Ci值最大(0.879);非整秩次RSR法和二者模糊联合法结果显示,排序前21位的病种(组)进入重点关注档,为医改监测病种(组)。结论:监测病种(组)有助于评估医改政策效力和医疗服务水平,优化医疗资源配置。Objective To demonstrate the functional value and technical methodology of the screening methods for monitoring diseases groups of healthcare reform,and to provide reference suggestions for the construction of scientific and reasonable monitoring tools for healthcare reform policies in different regions.Methods Entropy-weighted TOPSIS method,non-integer rank RSR method,and fuzzy combination of Topsis and RSR method were used to empirically analyze the policy effect of monitoring disease groups.Results The results of entropy-weighted method showed that the total number of cases indicator had the largest weight(0.178).The results of TOPSIS method showed that the Ci value of cervical,lumbar,and back disorders was the largest(0.879).The results of non-integer rank RSR and fuzzy combination of Topsis and RSR method showed that the top 21 ranked disease groups entered the key focus category as the monitoring disease groups of healthcare reform.Conclusion Monitoring disease groups helps to assess the effectiveness of healthcare reform policies and the level of medical services,and optimize the allocation of medical resources.

关 键 词:监测病种(组) 整体性治理 综合评价 

分 类 号:F840.684[经济管理—保险]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象