Evidence map›Paper›PMID 39844109›Full record

ArticleBMC public health2025

Quantitative evaluation of China's public health emergencies response policies: a PMC index model approach.

Yongwen Liu, Min Jiao, Yan Wang, Anning Ma

Abstract read
In one paragraph

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 11 papers.

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11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yongwen LiuShandong Second Medical University, Weifang, China.
Min JiaoShandong Second Medical University, Weifang, China.
Yan WangShandong Second Medical University, Weifang, China.
Anning MaShandong Second Medical University, Weifang, China. man@wfmc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, public health emergencies, such as the COVID-19 pandemic and Ebola outbreaks, have occurred with increasing frequency worldwide, posing significant threats to global public health security. Policies serve as the foundation and institutional framework for effective emergency responses. Consequently, evaluating and optimizing the formulation and implementation of Public Health Emergency Response Policies (PHERPs) to enhance emergency response capacities has become an urgent and important research priority.

methodsThis study developed an evaluation system for PHERPs using content analysis of policy texts, expert consultations, and the PMC-Index model. It quantitatively analyzed 33 central-level PHERPs in China issued between 2003 and 2020.

resultsThe analysis revealed an average PMC-Index score of 6.43 for the 33 PHERPs. The PMC-Surface analysis highlighted that the top three scoring indicators were policy openness, policy structure, and policy area. In contrast, the lowest-scoring indicators were policy timeliness, issuing agency, and incentive measures.

conclusionsThe study demonstrates was generally good. However, significant variability was observed in the scores of individual indicators across different policies. These findings provide valuable insights into the strengths and weaknesses of PHERPs and offer a reference for optimizing policy design and implementation.

Indexed as

EmergenciesHealth PolicyPublic HealthChinaCOVID-19HumansPandemicsPMC index modelPolicy evaluationPolicy quantificationPublic health emergenciesResponse

Identifiers

PMID39844109
PMCPMC11752722

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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.