Evidence map›Paper›PMID 40529702›Full record

ArticleFrontiers in public health2025

Health insurance policy enforcement and catastrophic health expenditure: a case study in Sichuan province, China.

Wei Liu, Guowu Huang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Wei LiuSchool of Public Administration, Sichuan University, Chengdu, China.
Guowu HuangSchool of Public Administration, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: China's health insurance reforms aim for universal coverage and financial relief, but implementation varies by region, urban-rural areas, and ethnic groups, highlighting disparities in healthcare access and socioeconomic status. Yet, the specific impact of policy enforcement deviations on catastrophic health expenditure remains underexplored, particularly amid China's urban-rural and ethnic diversity. Methods: Our study is based on survey data of urban and rural residents' medical insurance in Chengdu, Zigong, Nanchong, Aba Tibetan, Qiang Autonomous Prefecture, and Liangshan Yi Autonomous Prefecture of Sichuan Province ( Results: By constructing a binary probit model, instrumental variable method, and heterogeneity test, the study finds that DPE significantly increases the risk of households experiencing CHE, with each unit increase in the degree of deviation raising the probability of CHE by 7.45%. These risks are particularly pronounced in rural areas ( Discussion: Drawing from empirical findings, we suggest enhancements in three areas: standardizing grassroots policy implementation, refining financing mechanisms, and advancing payment reforms to effectively mitigate CHE risks. Our study offers empirical support for improving the execution of medical insurance policies and driving reforms in healthcare systems, particularly by providing policy insights related to urban-rural integration and rural revitalization.

Indexed as

Catastrophic IllnessHealth ExpendituresHealth PolicyInsurance, HealthAdultChinaFemaleHumansMaleMiddle AgedRural PopulationSurveys and QuestionnairesUrban Populationcatastrophic health expenditurecompulsory enrollmentdeviation in policy enforcementincentivized enrollmentpreference for healthcare institutionurban and rural residents’ health insurance

Identifiers

PMID40529702
PMCPMC12170294

What OpenQuestion holds

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LicenceCC BY
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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.