Evidence map›Paper›PMID 32264849›Full record

ArticleBMC cancer2020

Trend of disparity between coastland and inland in medical expenditure burden for rural inpatients with malignant tumor in southeast of China from 2007 to 2016.

Rong Fu, Zheng Lin, Fei He, Yixian Jiang, Zhenquan Zheng, Zhijian Hu

Abstract readComparative Study
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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  3. Prevalence and molecular characterization ofFood and waterborne parasitology · 2025
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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

6 authors.

Rong FuDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, 1 Xuefu North Road, Fuzhou, 350122, Fujian Province, China.
Zheng LinDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, 1 Xuefu North Road, Fuzhou, 350122, Fujian Province, China.
Fei HeDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, 1 Xuefu North Road, Fuzhou, 350122, Fujian Province, China.
Yixian JiangDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, 1 Xuefu North Road, Fuzhou, 350122, Fujian Province, China.
Zhenquan ZhengInstitute of health research, Fujian Medical University, 1 Xuefu north Road, Fuzhou, 350122, Fujian Province, China. zzquan229@163.com.
Zhijian HuDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, 1 Xuefu North Road, Fuzhou, 350122, Fujian Province, China. huzhijian@fjmu.edu.cn.

Funding

Medical innovation project of Fujian province 2018-CX-38Startup Fund for scientific research, Fujian Medical University 2016QH010Youth scientific research of health and family planning of Fujian province 2017-1-65
6 · The paper itself

Abstract

backgroundNew Rural Cooperative Medical Scheme (NRCMS) was developed to improve the health security for rural residents. This study aimed to assess the trend of disparity between coastland and inland in medical expenditure burden for rural inpatients with malignant tumor from 2007 to 2016 under the effect of NRCMS.

methodsThe data from medical records of 1,306,895 patients with malignant tumor who had NRCMS in 2932 hospitals was collected. The relative differences [95% confidence intervals (CIs)] between coastland and inland in four medical expense indicators were calculated using generalized linear models to assess the trend of disparity over time.

resultsIn total, there were 769,484 (58.88%) coastland patients and 537,411 (41.12%) inland patients. Male and patients aged older than 44 years accounted for 56.87 and 80% of 1,306,895 patients, respectively. After adjusting for gender, age, tumor site and hospital level, coastland patients had higher hospitalization expenses which were all medical expenses incurred during the hospitalization, lower reimbursement ratio and ratio of out-of-pocket expenses to disposable income than inland patients in most years. The surgery expenses of coastland patients were lower than those of inland patients in 2016. The relative differences (95% CIs) between coastland and inland in medical expense indicators were moving closer to 1.0 from 2007 to 2010 among patients without surgery, implying that the disparity between two areas significantly narrowed. The range of change was similar between two areas from 2011 to 2016 whether among patients without or with surgery, implying that the disparity did not significantly change. The disparity between coastland and inland depended on the household income situation. For low-income patients, the differences between two areas in medical expense indicators were not statistically significance in most cases and the disparity between two areas did not significantly change over time.

conclusionsUnder the effect of NRCMS, the medical expenditure burden of rural inpatients reduced but suffering from malignant tumor was still catastrophic. As a whole, the inland patients had heavier medical expenditure burden than coastland patients. Because of economic factors and medical assistance policies, the medical expenditure burden was similar between coastland and inland low-income patients.

Indexed as

InpatientsRural PopulationAdolescentAdultAgedChinaFemaleHealthcare DisparitiesHealth ExpendituresHumansMaleMiddle AgedNeoplasmsYoung AdultDisparityMalignant tumorMedical expenditure burdenNew Rural Cooperative Medical SchemeTrend

Identifiers

PMID32264849
PMCPMC7140354

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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.