Evidence map›Paper›PMID 40935399›Full record

ArticleBMJ global health2025

Strengthening financial protection through multitiered health coverage: evidence from 667 055 low-income households in China.

Guanping Liu, Zhongliang Zhou, Yangling Ren, Xiaohui Zhai, Yan Zhuang, Zhichao Wang, Ruifeng Cui

Abstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Guanping LiuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0000-0003-1842-1033
Zhongliang ZhouSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China zzliang1981@163.com ryling0317@163.com.ORCID 0000-0002-3850-4752
Yangling RenSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, Sichuan, China zzliang1981@163.com ryling0317@163.com.ORCID 0009-0008-2472-6531
Xiaohui ZhaiSchool of Public Health, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0000-0003-1756-7081
Yan ZhuangSchool of Public Health, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0009-0002-2649-8102
Zhichao WangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0000-0002-4397-8469
Ruifeng CuiSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0009-0002-8609-9330

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLow-income households face disproportionate out-of-pocket hardship when accessing healthcare, undermining equity and universal health coverage. To address these challenges, China implemented a three-tiered health coverage system-basic medical insurance, catastrophic medical insurance and medical assistance-but its comprehensive impact on the financial protection remains underexplored.

methodsWe analysed Shaanxi Province's Medical Assistance database (2013-2016) to evaluate the impact of China's multitiered health coverage system on financial protection by: (1) estimating the incidence of catastrophic health expenditure (out-of-pocket payments> 25% of annual income) and medical impoverishment (postpayment income <US$1.90/day) before and after reimbursement-lower incidence indicating better protection and (2) assessing income-related inequality and inequity using concentration indices and horizontal inequity indices (ranging -1 to 1, where zero indicates equality/equity, negative values indicate pro-poor and positive values pro-rich distributions). All estimates accounted for household-level clustering.

resultsA total of 667 055 households were included. After reimbursement, the incidence of catastrophic health expenditure fell from 58.59% (95% CI: 58.47 to 58.70) to 17.89% (95% CI: 17.79 to 17.97) and medical impoverishment from 41.43% (95% CI: 41.30 to 41.54) to 13.47% (95% CI: 13.38 to 13.55), driven mainly by basic medical insurance and medical assistance. Rural households received larger absolute declines yet remained higher than urban counterparts. Financial protection inequity worsened: the Horizontal Inequity Index for catastrophic health expenditure shifted from -0.0890 (95% CI: -0.0902 to -0.0879) to -0.1717 (95% CI: -0.1746 to -0.1689) and for medical impoverishment from -0.2653 (95% CI: -0.2669 to -0.2640) to -0.5251 (95% CI: -0.5280 to -0.5222), a pattern observed in both urban and rural areas.

conclusionOur findings underscore the need for a three‑tiered health coverage system-including targeted, equitable reimbursement-to advance universal health coverage. Emerging tools such as big data analytics and artificial intelligence offer new ways to monitor and optimise equity; it is timely to extend equity considerations beyond funding mobilisation to reimbursement.

Indexed as

Financing, PersonalHealth ExpendituresInsurance, HealthPovertyUniversal Health InsuranceCatastrophic IllnessChinaFamily CharacteristicsHumansHealth economicsHealth insuranceHealth policyUniversal Health Care

Identifiers

PMID40935399
PMCPMC12519334

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.