Evidence map›Paper›PMID 41602036›Full record

ArticleFrontiers in public health2025

Health opportunity inequality in middle-aged and older adult cardiovascular and cerebrovascular patients.

Guoheng Hu, Haining Zhao, Zi Yu, Xizhao Liu

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. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Guoheng HuSchool of Public Administration, Yanshan University, Qinhuangdao, China.
Haining ZhaoSchool of Public Administration, Yanshan University, Qinhuangdao, China.
Zi YuSchool of Public Administration, Yanshan University, Qinhuangdao, China.
Xizhao LiuSchool of Public Administration, Yanshan University, Qinhuangdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To measure and decompose health opportunity inequality among middle-aged and older adult patients with cardiovascular and cerebrovascular diseases, providing scientific evidence for the development of targeted health policies, particularly those aimed at ensuring health equity for middle-aged and older adult individuals with cardiovascular and cerebrovascular diseases. Methods: Based on inpatient medical record data from H Province, China, we employed a pre-parameter method, combining linear regression, conditional inference trees, and random forests to measure health opportunity inequality among middle-aged and older adult patients aged 45 and above with cardiovascular and cerebrovascular diseases. The relative contributions of various environmental factors to health opportunity inequality were quantified. Additionally, unconditional quantile regression models were used to further examine the contributions of environmental factors to health opportunity inequality at different quantiles. Results: The indices of opportunity inequality for major health and overall health ranged between 7.25-12.72% and 7.13-12.54%, respectively. Key influencing factors included surgical level, the number of doctors per 1,000 people, and the number of hospital beds per 1,000 people. Furthermore, the contribution of the variance in medical expenses to opportunity inequality significantly increased with quantile values, with contributions at higher quantiles only second to the aforementioned core environmental factors. Conclusion: To promote global health equity, this study proposes several policy directions: establishing a disease-resource alignment mechanism to optimize the allocation of advanced medical resources, strengthening primary healthcare and human resource systems, reforming healthcare financing toward equitable protection, and advancing prevention-oriented, data-driven health governance.

Indexed as

Cardiovascular DiseasesCerebrovascular DisordersHealth Status DisparitiesAgedChinaFemaleHumansMaleMiddle AgedSocioeconomic Disparities in HealthSocioeconomic Factorsconditional inference treeshealthcare disparitieshealth opportunity inequalityrandom forestsShapley value decomposition

Identifiers

PMID41602036
PMCPMC12833691

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LicenceCC BY
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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.