Evidence map›Paper›PMID 40474251›Full record

ArticleInternational journal for equity in health2025

Disparities in inpatient treatment and expenditures among lung cancer patients under tiered social health insurance: a population-based study in China.

Yaoyun Zhang, Yu He, Qing Wang, Ying Meng, Xinxin Xia, Xiaokang Ji, Qingbo Zhao, Yongchao Wang, Yifu Zhao, Chao Lv and 5 more

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

15 authors.

Yaoyun ZhangSchool of Public Health, Peking University, Beijing, China.
Yu HeChinese Preventive Medicine Association, Beijing, China.
Qing WangSchool of Public Health, Shandong University, Jinan, China.
Ying MengChina Center for Health Development Studies, Peking University, Beijing, China.
Xinxin XiaChina Center for Health Development Studies, Peking University, Beijing, China.
Xiaokang JiSchool of Public Health, Shandong University, Jinan, China.
Qingbo ZhaoSchool of Public Health, Shandong University, Jinan, China.
Yongchao WangSchool of Public Health, Shandong University, Jinan, China.
Yifu ZhaoSchool of Public Health, Shandong University, Jinan, China.
Chao LvDepartment of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China.
Liming ZhuZhejiang Cancer Hospital, Hangzhou, Zhejiang, China.
Ding WangNational Administration of Health Data, Jinan, Shandong, China.
Suping LingLondon School of Hygiene & Tropical Medicine, London, UK.
Fuzhong Xue *School of Public Health, Shandong University, Jinan, China. xuefzh@sdu.edu.cn.
Jin Xu *China Center for Health Development Studies, Peking University, Beijing, China. xujin@hsc.pku.edu.cn.

Funding

Henan Science and Technology Major Program 241100310300National Natural Science Foundation of China 71804004National Natural Science Foundation of China,China 82330108
6 · The paper itself

Abstract

introductionTiered social health insurance (SHI) schemes exist in many countries and may lead to significant disparities of healthcare and financial protection. The degree of cancer care inequalities under tiered SHI in China and other low- and middle-income countries (LMICs) remain poorly understood.

methodsWe obtained hospital discharged summary for 319,677 patients diagnosed with lung cancer between 2017 and 2021 in Shandong, China, and established propensity score-matched samples under the Urban and Rural Resident Basic Medical Insurance (URRBMI) and those under the Urban Employee Basic Medical Insurance (UEBMI). We ran multivariable regressions to assess the effects of SHI schemes on cancer treatment and expenditures. Subgroup analyses of cancer treatment were conducted based on whether the cancer had metastasized.

resultsIn the matched samples, utilization of inpatient cancer care increased under both schemes from 2017 to 2021. Higher proportions of inpatient cancer care utilization were seen in those under UEBMI compared those under URRBMI, consistently with statistical significance. UEBMI was associated with a higher probability of receiving surgery in patients without metastasis, and higher probabilities of receiving radiotherapy or chemotherapy, targeted therapy, and immunotherapy in patients with metastasis. Patients under UEBMI were also less likely to be discharged against medical advice than those under URRBMI. Furthermore, UEBMI beneficiaries had 13.3% higher total expenditures but 19.1% lower out-of-pocket expenditures.

conclusionsSignificant gaps remained in access to inpatient treatment and financial protection for lung cancer, particularly in surgery for non-metastatic cancer. Targeted harmonization of benefit packages is needed to address pressing disparities in cancer care in LMICs with tiered SHI.

Indexed as

Healthcare DisparitiesHealth ExpendituresHospitalizationInsurance, HealthLung NeoplasmsSocial SecurityAdultAgedChinaFemaleHumansMaleMiddle AgedSocioeconomic Disparities in HealthDisparityExpendituresLung cancerSocial health insuranceTreatment

Identifiers

PMID40474251
PMCPMC12139372

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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.