Evidence map›Paper›PMID 40148945›Full record

ArticleBMC health services research2025

Income-related benefit mobility before and after Urban and Rural Resident Basic Medical Insurance integration: a longitudinal analysis of China.

Yongjian Xu, Yazhuo Liu, Hui Li, Ruirui Guo, Jiaxin Sun, Zhongliang Zhou, Jie Ma

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Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yongjian XuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, 710049, China.
Yazhuo LiuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, 710049, China.
Hui LiSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, 710049, China.
Ruirui GuoSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, 710049, China.
Jiaxin SunSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, 710049, China.
Zhongliang ZhouSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, 710049, China.
Jie MaJinhe Center for Economic Research, Xi'an Jiaotong University, Xi'an, 710049, China. jiema_xjtu@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo improve equity in medical insurance benefits, the Chinese government integrated the New Rural Cooperative Medical Scheme for rural residents and the Urban Resident Basic Medical Insurance for nonworking urban residents into a unified Urban and Rural Resident Basic Medical Insurance system (URRBMI). This study aims to assess income-related mobility in medical insurance benefits before and after the integration of the two schemes, and to explore its contribution to improving medical insurance equity.

methodsThe panel data were obtained from the 2011 and 2018 China Health and Retirement Longitudinal Study, with 9,662 participants. To assess the benefits residents received from medical insurance, four indicators were analyzed for outpatient and inpatient care respectively: benefit rate, benefit probability, compensation fee, and reimbursement probability. The concentration index (CI) was used to measure the income-related inequality of medical insurance benefits. Changes in inequality across the two waves were decomposed into income-related benefit mobility and benefit-related income mobility, which reflect variations in relative benefit changes among individuals with different initial income levels, capturing the effect of integration on benefit inequality.

resultsResults indicated a significant increase in all medical insurance benefit measures following integration, except for outpatient care benefit probability and inpatient care reimbursement probability. The CIs shifted from positive in 2011 to negative in 2018 (0.129 vs. -0.052 for the benefit rate, 0.147 vs. -0.044 for the benefit probability, and 0.148 vs. -0.097 for the reimbursement probability, p < 0.001). The income-related mobility for inpatient care (benefit rate, benefit probability, and compensation amount) were positive when the average benefit level increased across the two waves. In contrast, no statistically significant difference was observed in outpatient benefit mobility.

conclusionsThe findings indicated that income-related inequalities in medical insurance benefits were narrowed due to pro-poor changes in inpatient care equity for inpatient care after integration. This integration has contributed to building a more equitable healthcare system. However, further efforts are needed to expand outpatient benefit coverage in the integrated URRBMI scheme.

Indexed as

IncomeInsurance BenefitsInsurance, HealthRural PopulationUrban PopulationAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedChinaHealth equityIncome-related benefit mobilityMedical insurance integration

Identifiers

PMID40148945
PMCPMC11951765

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