Evidence map›Paper›PMID 41742104›Full record

ArticleBMC health services research2026

Financial protection and healthcare utilization for low-income populations under China's multi-tiered health financing system: a cross-sectional study in an Eastern city.

Xiaojuan Zhang, Kun Zhu, Yueying Cui, Ruihua Feng

Abstract read
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Article in BMC health services research, 2026. 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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiaojuan ZhangThe Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Kun ZhuChinese Academy of Fiscal Science, Beijing, China.
Yueying CuiThe Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ruihua FengThe Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. feng.ruihua@imicams.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina's Multi-tiered Health Financing System (MTHFS) integrates basic medical insurance, critical illness coverage, and the Medical Assistance System (MAS) to advance Universal Health Coverage (UHC). While the MAS targets low-income populations, the degree of financial protection and equity in healthcare access it affords remains incompletely understood. This cross-sectional study aims to describe patterns of healthcare utilization and analyze the incidence and determinants of catastrophic health expenditure (CHE) among low-income groups under the MTHFS.

methodsA cross-sectional analysis was conducted using 2021-2022 administrative claims data from a representative city in Eastern China. Disparities between low-income (MAS recipient) and non-low-income groups in healthcare utilization (hospital tier, cross-regional care) and financial outcomes (reimbursement rates, CHE incidence) were assessed using Chi-square tests. Multivariate logistic regression was employed to identify determinants of CHE, adjusting for demographics, chronic disease status, service utilization, and expenditure levels.

resultsKey findings were: (1) Utilization Disparities: The proportion of low-income individuals seeking inpatient care at tertiary hospitals (23.25% in 2021 and 21.42% in 2022) or across provinces (4.59% in 2021 and 4.00% in 2022) was significantly lower than that of the non-low income populations (p < 0.001). (2) Financial Protection: Under the MTHFS, low-income populations had high reimbursement rates (80.02% in 2021 and 82.53% in 2022), indicating a substantial reduction in the medical cost burden. However, despite these high reimbursement rates, 30.05% and 39.44% of low-income individuals still experienced CHE in 2021 and 2022, respectively. When the analysis was restricted to costs covered by the benefit package, these proportions fell to 17.37% and 21.45%, respectively. (3) Risk Factors: Chronic conditions (OR = 5.91 [4.64, 7.53]), tertiary hospital use (OR = 5.83 [4.35, 7.82]), and inpatient services (OR = 13.84 [10.71, 17.88]) significantly increased CHE risk.

conclusionsThe findings suggest that within the studied context, the MTHFS, particularly the MAS, is associated with a reduction in the proportion of out-of-pocket payments for covered services among low-income populations. Despite progress, the limited benefit package of URRMI and reimbursement caps under MAS still leave vulnerable groups at risk of CHE.To mitigate CHE, policy measures should include expanding the benefit package to cover cost-effective innovations (e.g. newly launched anticancer drugs) and implementing income-linked out-of-pocket payment caps for low-income groups.

Indexed as

Medical AssistancePatient Acceptance of Health CarePovertyUniversal Health InsuranceAdultCatastrophic IllnessChinaCross-Sectional StudiesFemaleHealth ExpendituresHumansMaleMiddle AgedCatastrophic health expendituresHealthcare utilizationHealth financingLow-income populations

Identifiers

PMID41742104
PMCPMC13040986

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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.