Evidence map›Paper›PMID 39045157›Full record

ArticleFrontiers in public health2024

Impact of urban and rural residents medical insurance on self-rated health of residents in China: a panel study from the China family panel studies national baseline survey.

Yu Si-Yuan, Chen Ya-Ting, Xiao Xiao-Yue, Wu Dan, Lin Xin-Hao, Liu Wen, Pei Tong, Meng Xue-Hui

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Yu Si-Yuan *School of Humanities and Management of Zhejiang Chinese Medical University, Hangzhou, China.
Chen Ya-Ting *School of Humanities and Management of Zhejiang Chinese Medical University, Hangzhou, China.
Xiao Xiao-YueSchool of Humanities and Management of Zhejiang Chinese Medical University, Hangzhou, China.
Wu DanSchool of Humanities and Management of Zhejiang Chinese Medical University, Hangzhou, China.
Lin Xin-HaoSchool of Humanities and Management of Zhejiang Chinese Medical University, Hangzhou, China.
Liu WenSchool of Humanities and Management of Zhejiang Chinese Medical University, Hangzhou, China.
Pei Tong *School of Humanities and Management of Zhejiang Chinese Medical University, Hangzhou, China.
Meng Xue-Hui *School of Humanities and Management of Zhejiang Chinese Medical University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the health performance of the Urban and Rural Residents Medical Insurance (URRMI) scheme in China and to make practical recommendations and scientific references for its full implementation in China. Methods: This is a panel study that uses data from the China Family Panel Studies from 2018 to 2020, which is separated into treated and control groups each year, utilizing the key approach of propensity score matching and difference-in-difference (PSM-DID). Using 1-to-1 k-nearest neighbor matching, we proportionate the baseline data. Using difference-in-difference model, we examine the mean treatment impact of the outcome variables. Using a 500-time random sample regression model, we validate the robustness of the model estimation. Results: The result was credible after matching, minimizing discrepancies. Good overall performance of self-rated health with an average Hukou status of, respectively, 0.8 and 0.4 in the treated and control group, primarily in rural and urban regions separately. The participation of URRMI significantly impacted self-rated health of residents, with a 0.456-unit improvement probabilities observed ( Conclusion: The study demonstrates the crucial role of PSM-DID in determining the influence of URRMI on self-rated health status. It indicates that purchasing in URRMI has a favorable influence on the health of residents, advancing enhanced self-rated health effectiveness. It does, however, reveal geographical disparities in health, with urban dwellers faring far better than those who live in the suburb. Study suggests expanding URRMI coverage, narrowing urban-rural divide, increasing insurance subsidies, reforming laws, and developing effective advertising strategies.

Indexed as

Insurance, HealthRural PopulationUrban PopulationAdultAgedChinaFemaleHealth StatusHumansMaleMiddle AgedPropensity ScoreSelf ReportSurveys and Questionnaireshealth performancepropensity score matching and difference-in-difference regressionresidentselfrated healthurban and rural resident medical insurance

Identifiers

PMID39045157
PMCPMC11264337

What OpenQuestion holds

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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.