Evidence map›Paper›PMID 41131536›Full record

ArticleInternational journal for equity in health2025

Can supplementary private health insurance reduce vulnerability to expected poverty and catastrophic health expenditure in China?

Shiju Dong, Junxiao Ma, Zexuan Yu, Peilong Li, Jingjie Sun, Jiajia Li

Abstract read
In one paragraph

Article in International journal for equity in health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shiju DongDepartment of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Junxiao MaThe Second Affiliated Hospital of Soochow University, Suzhou, 215004, China.
Zexuan YuDepartment of Biostatistics, Brown University School of Public Health, Providence, RI, 02912, USA.
Peilong LiMedical Management Service Center of Shandong Health Commission, Jinan, 250012, China.
Jingjie SunMedical Management Service Center of Shandong Health Commission, Jinan, 250012, China.
Jiajia LiDepartment of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China. lijiajia@sdu.edu.cn.

Funding

National Natural Science Foundation of China 72274108Natural Science Foundation of Shandong Province ZR2022MG003
6 · The paper itself

Abstract

backgroundIn China, where social health insurance (SHI) covers over 95% of the population, supplementary private health insurance (SPHI) primarily addresses high out-of-pocket (OOP) payments that remain after SHI reimbursements. In line with the policy objective of alleviating the OOP burden, this study aims to evaluate the impact of SPHI on vulnerability to expected poverty (VEP) and catastrophic health expenditure (CHE).

methodsA cross-sectional dataset consisting of 25,568 samples was obtained from the 2023 National Health Service Survey (Shandong). Three-stage feasible generalized least squares (FGLS) method was employed to estimate VEP. CHE was measured by OOP healthcare payments that equalled or exceeded 40% of a household's capacity to pay. To address potential endogeneity issues, the county-level average participation rate of SPHI was used as an instrumental variable (IV). The probit and IV Probit models were applied to assess how SPHI affects VEP and CHE.

resultsAmong respondents covered by SHI, only 13.87% individuals purchased SPHI. Those with SPHI exhibited a 11.96% lower likelihood of VEP and experienced 8.06% fewer instances of CHE compared to those without SPHI. The two-stage least squares regression results indicated that SPHI significantly reduces the likelihood of VEP (coefficient: -2.897, P < 0.01) and CHE (coefficient: -1.930, P < 0.01). Additionally, SPHI provided greater welfare benefits, particularly for older adults, rural residents, and individuals with chronic diseases.

conclusionThe findings suggest that SPHI can significantly contribute to poverty reduction, even among populations already covered by SHI. Therefore, we recommend that other low- and middle-income countries, where SHI serves as the primary insurance system as in China, consider implementing SPHI for vulnerable groups to reduce illness-induced impoverishment.

Indexed as

Catastrophic IllnessHealth ExpendituresInsurance, HealthPovertyAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedVulnerable PopulationsCatastrophic health expenditureInstrumental variableSupplementary private health insuranceVulnerability to expected poverty

Identifiers

PMID41131536
PMCPMC12551337

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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.