Evidence map›Paper›PMID 40288789›Full record

ArticleBMJ open2025

Health poverty reduction effect of medical insurance in China's middle-aged and elderly populations: a cross-sectional study.

Yongqiang Lai, Rui Chen, Xinwei Liu, Wanxin Tian, Bing Wu, Yiyun Zhang, Xiyu Zhang, Haijun Yang, Fang Yin, Yujuan Xu and 6 more

Abstract read
In one paragraph

Article in BMJ open, 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
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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

16 authors.

Yongqiang Lai *Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Rui Chen *Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Xinwei LiuResearch Center of Public Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Wanxin Tian *National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Bing Wu *Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Yiyun ZhangSchool of Ethnology and Sociology, Yunnan University, Kunming, Yunnan, China.
Xiyu ZhangResearch Center of Public Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Haijun YangYan'an Hospital of Kunming City, Kunming, Yunnan, China.
Fang YinThe Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yujuan XuThe First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Wenqing MiaoDepartment of Science and Technology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Linghan ShanResearch Center of Public Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Qunhong WuResearch Center of Public Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Baoguo ShiDepartment of Economics, School of Economics, Minzu University of China, Beijing, China.
Feifei LengNursing Department, Heilongjiang Provincial Hospital, Harbin, Heilongjiang, China liye8459@163.com 13845046909@163.com.
Ye LiResearch Center of Public Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China liye8459@163.com 13845046909@163.com.ORCID http://orcid.org/0000-0001-8492-1808

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn the context of demographic structure and disease spectrum changes: to study the role of the medical insurance system in providing protection and risk resilience for middle-aged and elderly vulnerable groups who are prone to impoverishment by medical expenses (IME), identify the vulnerable points and propose recommendations for improving the medical insurance system.

settingThe research used data from the 2018 China Health and Retirement Longitudinal Study.

participants9184 households were included in the research ultimately. PRIMARY AND SECONDARY OUTCOME MEASURES: We use the WHO's recommended composite measure of disease-related poverty and algorithm to determine the occurrence of IME in households. Instrumental variable probit regression model was used to target the characteristics of vulnerable groups and the influencing factors with strong correlation with IME.

resultsThe overall incidence of IME is 8.25% and the high incidence is concentrated in rural populations (9.79%). The risk of IME from stroke (13.17%) has been higher than cancer (7.38%). The incidence of IME is higher in families with five types of non-communicable diseases enrolled in Urban-Rural Integrated Medical Insurance (URRMI) (min 10.00%-max 14.29%) and New Rural Cooperative Medical Insurance Scheme (NRCMS) (min 8.97%-max 15.24%) health insurance than the overall IME incidence (8.25%).

conclusionsThe medical insurance system has achieved the inclusive economic protection function for most people, but the risk resistance function for the middle-aged and older adults with multiple vulnerabilities still needs to be strengthened.,the.Finally, to address the benefit gap of the NRCMS, the next stage of medical insurance development should focus on improving the top-level design of the reimbursement framework for urban and rural resident medical insurance.

Indexed as

Health ExpendituresInsurance, HealthPovertyAgedChinaCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedRural PopulationChinaChronic DiseaseHealth EquityHealth ServicesPUBLIC HEALTHRisk Factors

Identifiers

PMID40288789
PMCPMC12035475

What OpenQuestion holds

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LicenceCC BY-NC
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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.