Evidence map›Paper›PMID 40610906›Full record

ArticleBMC public health2025

Policy texts and actions: quantitative evaluation of the hierarchical medical system policy in China based on the PMC-Index model.

Liping Fu, Ruizhen Wang, Yu Dong

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Liping FuCollege of Management and Economics, Center for Social Science Survey and Data, Tianjin University, 92 Weijin Road, Tianjin, Nankai District, 300072, China.
Ruizhen WangCollege of Management and Economics, Center for Social Science Survey and Data, Tianjin University, 92 Weijin Road, Tianjin, Nankai District, 300072, China. wangruizhen@tju.edu.cn.
Yu DongCollege of Management and Economics, Center for Social Science Survey and Data, Tianjin University, 92 Weijin Road, Tianjin, Nankai District, 300072, China. 13021028699@163.com.

Funding

National Social Science Fund of China 20AGL034
6 · The paper itself

Abstract

backgroundChina has made significant strides in healthcare, greatly enhancing health outcomes for its large population. However, disparities in medical resource distribution and utilization remain, making healthcare financially burdensome and geographically inaccessible. To mitigate these challenges, the Chinese government has implemented the hierarchical medical system (HMS). However, the effectiveness of HMS policies requires continuous refinement. A comprehensive evaluation of HMS policies is essential to maximize their impact, streamline execution, and ensure the system's sustainability and efficiency.

methodsThis study develops an assessment system for HMS policies using the Policy Modeling Research Consistency Index (PMC-Index) model and then conducts a quantitative analysis of 137 HMS policies from the central government and 30 provinces. Additionally, we use academic attention, media coverage, and joint attention as policy implementation indicators and employ the Logit model to analyze the relationship between policy formulation and implementation.

resultsThe results show that the average PMC index of 137 HMS policies is 6.53 (Good) overall, with potential for improvement in policy tools, issuing subjects, and policy fields. Regional heterogeneity reveals that the PMC index is highest in the East, followed by the Central and Northeast, and lowest in the West. Stage heterogeneity indicates that the PMC index scores highest in the development stage (2015-2017), followed by the breakthrough stage (2021-present), and finally, the exploration stage (2013-2014) and the diffusion stage (2018-2020). Additionally, Logit analysis demonstrates a significant correlation between the PMC index and implementation.

conclusionsThis study indicates that the overall consistency of HMS policies is good and illustrates a significant positive correlation between the policy formulation and implementation of the HMS.

Indexed as

Delivery of Health CareHealth PolicyPolicy MakingChinaHumansChinaHierarchical medical systemPMC-Index modelPolicy consistencyPolicy implementation

Identifiers

PMID40610906
PMCPMC12225214

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.