Evidence map›Paper›PMID 39614714›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

The Effect of Digital Supervision of China Basic Medical Insurance on Out-of-pocket Expenditure: Evidence from Quasi-natural Experiment.

Chuncheng Wang, Chen Song, Jing Wu, Yanpeng Ning, Shuai Wang

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

5 authors.

Chuncheng WangYanshan University, Qinhuangdao, Hebei, China.
Chen SongYanshan University, Qinhuangdao, Hebei, China.ORCID 0009-0001-6515-7709
Jing WuYanshan University, Qinhuangdao, Hebei, China.
Yanpeng NingYanshan University, Qinhuangdao, Hebei, China.
Shuai WangYanshan University, Qinhuangdao, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientific research has shown that the sustainability of public health insurance is crucial for governments to effectively manage the risks associated with populations aging. In response, the Chinese government has initiated efforts to ensure the long-term viability of its medical insurance funds. This study utilizes data from 24 484 respondents in the 2013, 2015, 2018, and 2020 waves of the China Health and Retirement Longitudinal Study (CHARLS), treating the digital supervision of medical insurance funds as a quasi-natural experiment. The study employs a difference-in-differences (DID) model to evaluate the policy effects and uses heterogeneity analysis to explore variations in impact. The objective is to assess the effectiveness of digital supervision and understand how it achieves its policy goals. The findings indicate that digital supervision of medical insurance funds has a significant positive impact on residents' out-of-pocket medical expenditure. Heterogeneity analysis reveals that the policy's effect is particularly strong in urban samples, especially among younger and elderly urban residents, while showing no significant impact on rural populations. This suggests that the policy has a greater influence on groups with higher moral hazard. By implementing digital supervision of medical insurance funds, the Chinese government has ensured the sustainability of these funds, laying a foundation for mitigating the risks associated with population aging. Additionally, the policy has contributed to promoting healthcare equity and reducing the waste of medical resources.

Indexed as

Health ExpendituresInsurance, HealthAgedChinaFemaleFinancing, PersonalHealth PolicyHumansLongitudinal StudiesMaleMiddle Agedbasic medical insuranceDIDdigital dividedigital supervisionmoral hazardout-of-pocket expenditurepopulation aging

Identifiers

PMID39614714
PMCPMC11607767

What OpenQuestion holds

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LicenceCC BY-NC
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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.