Evidence map›Paper›PMID 41444538›Full record

ArticleBMC public health2025

Research on China's population health policy: an analysis based on the PMC index model.

Rongjiang Cai, Congying Shen, Xi Wang, Shufang Zhao, Tao Zhang

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Rongjiang CaiSchool of Economics and Management, Ningbo University of Technology, Ningbo, 315211, China. p2315286@mpu.edu.mo.
Congying ShenSchool of Economics and Management, Ningbo University of Technology, Ningbo, 315211, China.
Xi WangFaculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, 999078, China.
Shufang ZhaoFaculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, 999078, China.
Tao ZhangFaculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, 999078, China. taozhang@mpu.edu.mo.

Funding

This research received Ningbo Engineering College Research Incubation Program - Free Exploration SpecialThis research received Ningbo Engineering College Research Incubation Program - Free Exploration Special 2022TS05
6 · The paper itself

Abstract

With China’s profound demographic transition, population health issues have emerged as critical determinants of sustainable national development. Since 2001, the Chinese government has implemented numerous population health policies; however, the absence of a systematic, standardized, and quantifiable evaluation framework has constrained the scientific rigor and effectiveness of policy assessment. This study aims to develop a Policy Modeling Consistency (PMC) Index model tailored to China’s context, enabling systematic quantitative evaluation of population health policies to identify strengths and limitations, thereby establishing an evidence base for policy optimization.This study employs text mining combined with the PMC Index model to construct an evaluation framework comprising 9 primary variables and 40 secondary variables. Twelve representative population health policies were quantitatively assessed, with results visualized through PMC surface maps to analyze internal policy consistency and multidimensional performance.The evaluation revealed that 8 policies achieved “excellent” ratings (PMC index: 6.00-7.31), while 4 received “good” ratings (PMC index: 5.59–5.78), indicating generally high quality with notable variations across China’s population health policies. Most policies demonstrated consistent strengths in timeliness, evaluation mechanisms, and transparency. However, significant disparities emerged in policy functions, target populations, and policy objectives.Through development of the PMC Index model, this study provides systematic, multidimensional quantitative evaluation of China’s population health policies, introducing novel insights and methodological approaches for policy optimization. The findings offer substantial theoretical and practical contributions toward enhancing the scientific precision and effectiveness of China’s population health policies, ultimately promoting improved population health outcomes.

Indexed as

Health PolicyPopulation HealthChinaHumansModels, TheoreticalPolicy MakingPolicy evaluationPolicy modeling consistency indexPopulation health policyQuantitative analysis.

Identifiers

PMID41444538
PMCPMC12729004

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LicenceCC BY-NC-ND
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Registered trials

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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.