Analysis of the application of policy instruments for close-knit county medical communities based on Hood's classification

基于胡德分类法的政策工具在紧密联系的县级医疗社区中的应用分析

阅读:1

Abstract

OBJECTIVE: By analyzing the selection and application of policy instruments in the construction of close-knit county medical communities in Dazu District, Chongqing, this study aimed to propose countermeasures to optimize these policy instruments, offering valuable lessons for the construction of close-knit county medical communities. METHODS: Based on Hood's classification, an analytical framework was constructed that incorporated the selection of basic policy instruments (X dimension) and the different phases in the construction process (Y dimension). Nvivo was used to analyze policy documents (2015-2023) related to the construction of close-knit county medical communities in Dazu District. RESULTS: In the X dimension, the nodality-based instruments accounted for 14.3%, the authority-based instruments accounted for 34.2%, the treasure-based instruments accounted for 16.4%, and the organization-based instruments accounted for 35.2%. In the Y dimension, the total number of policy instruments used in Dazu District across the following three phases-policy initiation, piloting, and promotion-showed an increasing trend, aligning with the number of policies. These statistics indicated several issues such as limited use of nodality-based and treasure-based instruments, an incomplete policy assessment indicator system, insufficient policy synergy and incentives, and a lack of operationalization of strategic measures. CONCLUSION: The government should increase the use of nodality-based and treasure-based instruments, improve the assessment indicator system, strengthen policy synergy mechanisms and incentives, and optimize the structure of talent resources to improve the operability of the policies.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。