Evidence map›Paper›PMID 40342500›Full record

ArticleFrontiers in public health2025

Digital financial inclusion and comprehensive multilevel medical insurance system in China.

Zhe Liu, Xingyuan Wu, Xi Chen, Congzhi Qin, Zenghui Qiu, Zhuangzhi Fang, Lan Yao

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. Review
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.

Zhe Liu *School of Medicine and Health Management, Tongji, Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xingyuan Wu *School of Economics, Huazhong University of Science and Technology, Wuhan, China.
Xi ChenSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China.
Congzhi QinSchool of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.
Zenghui QiuSchool of Medicine and Health Management, Tongji, Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zhuangzhi FangSchool of Economics, Huazhong University of Science and Technology, Wuhan, China.
Lan YaoSchool 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: The influence of digital financial inclusion on medical insurance systems has drawn significant attention. However, its impact on China's multilevel medical insurance system (MMIS) remains uncertain. The MMIS is crucial for societal wellbeing. It safeguards citizens from financial hardships during medical treatment, especially as the population ages and healthcare costs rise. By covering medical expenses, the MMIS ensures equal access to essential medical services, protecting people's health rights and preventing impoverishment caused by medical expenses, thus promoting social stability and equity. This study used panel data from 31 provinces in China from 2016 to 2020 to explore the impact of digital financial inclusion on the development of the MMIS. Methods: An MMIS development matrix was constructed using the entropy weight method and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). Panel data regression models were employed to analyze the effects of different dimensions of digital financial inclusion on the MMIS. Results: The overall digital financial inclusion index, particularly the "coverage" dimension, had a significant positive and significant impact on the MMIS ( Conclusion: Digital infrastructure in the central and western regions must be strengthened to enhance financial inclusion coverage and service capacity; the depth and quality of financial services in the eastern regions should be improved to optimize the effects of digital finance on the MMIS. Deeper integration between digital financial inclusion and the MMIS should be prompted through technological innovations to improve both equity and sustainability. This study provides valuable insights for policymakers to address regional disparities in further developing the MMIS.

Indexed as

Insurance, HealthChinaHealth Services AccessibilityHumanscausal forest modeldigital financial inclusiondouble machine learningmultilevel medical insurance systempanel data regression

Identifiers

PMID40342500
PMCPMC12058849

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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.