Evidence map›Paper›PMID 40434033›Full record

ArticleHealth policy and planning2025

Can medical consortiums bridge the gap in health inequity in China? A propensity score matching analysis.

Chong Feng, Yusheng Chen, WeiWei Wang, Shuzhen Chen

Erratum issuedAbstract read
In one paragraph

Article in Health policy and planning, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

4 authors.

Chong FengSchool of Mathematics and Statistics, Xiamen University of Technology, No. 600 Ligong Road, Jimei District, Xiamen 361024, Fujian, China.
Yusheng ChenData Mining Research Center, Xiamen University, No. 422 Siming South Road, Siming District, Xiamen 361005, Fujian, China.
WeiWei WangData Mining Research Center, Xiamen University, No. 422 Siming South Road, Siming District, Xiamen 361005, Fujian, China.
Shuzhen ChenData Mining Research Center, Xiamen University, No. 422 Siming South Road, Siming District, Xiamen 361005, Fujian, China.

Funding

Fujian University Mathematical Discipline Union Foundation 2023SXLMQN04High-level Talent Science and Technology Program of Xiamen University of Technology YKJ23003RNatural Science Foundation of Xiamen 3502Z202372050Social Science Foundation of Fujian FJ2024C155
6 · The paper itself

Abstract

While health is a fundamental right, health inequities between urban and rural residents remain significant in China. Medical consortia aim to bridge this gap by providing equitable and affordable healthcare. However, their effectiveness in enhancing health equity remains underexplored. This study aims to explore whether medical consortia have mitigated health inequity between urban and rural residents. We employed propensity score matching to mitigate selection bias among 9918 electronic medical records. We focused on two key areas: the effectiveness of medical consortia in reducing healthcare burdens and their influence on health equity, as indicated by the disparities in medical expenses between urban and rural residents. To obtain more detailed insights, we segmented medical expenses into low, medium, and high categories for both urban and rural residents and examined how medical consortia differentially affect health equity across these segments. Moreover, we evaluated whether the differences in referral effects on medical expenses between urban and rural residents can be explained by their varying disease structures and age distributions. We found that medical consortia can significantly reduce the medical burden on populations, but have limitations in improving health equity. The findings highlight a substantial reduction in medical expenses for urban populations. However, no significant reduction was observed in rural populations, with the low-medical-expense group experiencing an increased healthcare burden following the implementation of medical consortia. These findings are robust across various matching methods. Despite reducing healthcare burdens, medical consortia have not equalized health outcomes between urban and rural residents. Significant differences in the disease and age structures exist between urban and rural residents, which may account for the differing causal effects observed between them. Policymakers must prioritize health equity in healthcare reform and consider targeted interventions to address the distinct healthcare challenges of different socioeconomic groups.

Indexed as

Healthcare DisparitiesHealth InequitiesAdultAgedChinaFemaleHealth EquityHealth ExpendituresHumansMaleMiddle AgedPropensity ScoreRural PopulationUrban Populationcausal effecthealth equitymedical consortiumpropensity score matching

Identifiers

PMID40434033
PMCPMC12360172

What OpenQuestion holds

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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.