Evidence map›Paper›PMID 40376066›Full record

ArticleFrontiers in public health2025

How do Chinese people perceive their healthcare system? Inequality in public satisfaction with healthcare security.

Shengxian Bi, Huawei Tan, Dandan Guo, Xinyi Peng, Qijiao Yang, Tsung-Han Weng, Yingchun Chen

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.

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

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

7 authors.

Shengxian BiSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huawei TanSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Dandan GuoSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xinyi PengSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qijiao YangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Tsung-Han WengCollege of Education for the Future, Beijing Normal University, Zhuhai, China.
Yingchun ChenSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Satisfaction with healthcare security is a critical indicator of the effectiveness of health systems. Social equity and trust and the financial burden of healthcare are key socioeconomic factors that can significantly influence residents' perceptions of healthcare security. This study aims to investigate the impact of social equity and trust and medical burden on satisfaction with healthcare security and to analyze their potential interaction mechanisms. Methods: Using data from 7,052 participants in the 2021 China General Social Survey, this study employed machine learning methods, including neural networks (NN), random forests (RF), and logistic regression (LR), to predict and classify satisfaction with healthcare security. Additionally, causal inference techniques were applied to identify the key determinants and estimate their effects on satisfaction levels, thereby uncovering the underlying causal mechanisms. Results: The predictive performance of the three machine learning methods was similar ( Conclusion: This study highlights the complex relationship between social equity and trust, medical burden, and satisfaction with healthcare security, offering theoretical support for understanding residents' perceptions of healthcare security in various social contexts.

Indexed as

Delivery of Health CarePersonal SatisfactionAdultChinaEast Asian PeopleFemaleHumansMachine LearningMaleMiddle AgedSocioeconomic FactorsSurveys and QuestionnairesTrusthealthcare securitymachine learningmedical expensessatisfactionsocial equity and trust

Identifiers

PMID40376066
PMCPMC12078328

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.