Evidence map›Paper›PMID 32245435›Full record

ArticleBMC public health2020

Does the medical insurance system really achieved the effect of poverty alleviation for the middle-aged and elderly people in China? Characteristics of vulnerable groups and failure links.

Meiyan Ma, Ye Li, Nianshi Wang, Qunhong Wu, Linghan Shan, Mingli Jiao, Xuelian Fu, Heng Li, Tao Sun, Bin Yi and 9 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
8.3field-weighted citation impact, top 2% of its field
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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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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

19 authors at 5 institutions in 1 country.

Meiyan MaDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Ye LiDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China. liye8459@163.com.
Nianshi WangDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Qunhong WuDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Linghan ShanDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Mingli JiaoDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Xuelian FuThe Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Heng LiChina Hospital Development institute of Shanghai Jiao Tong University, Shanghai, China.
Tao SunDepartment of Health Service Management, School of Medicine, Hang Zhou Normal University, Zhejiang, China.
Bin YiThe First Specialized Hospital of Harbin, Harbin, Heilongjiang, China.
Wanxin TianDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Qi XiaDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Baoguo ShiDepartment of Economics, School of Economics, Minzu University of China, Beijing, China.
Yanhua HaoDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Hui YinDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Ning NingDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Lijun GaoDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Libo LiangDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Jiahui WangDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Harbin Medical University · CNMinzu University of China · CNSecond Affiliated Hospital of Harbin Medical University · CNShanghai Jiao Tong University · CNThe First Hospital of Kunming · CN

Funding

Heilongjiang Postdoctoral Foundation LBH-Z17156Heilongjiang Postdoctoral Science Foundation LBH-Z14166Heilongjiang Provincial Health and Family Planning Commission Foundation 2014-427National Natural Science Foundation of China 71333003National Natural Science Foundation of China 71804036National Natural Science Foundation of China 71874045,71403073Postdoctoral Research Foundation of China 2016M590296
6 · The paper itself

Abstract

backgroundWe examined the physiological, household, and spatial agglomeration characteristics of the health poverty population in China. We identified weak links that affect the implementation of the medical insurance and further improve its effectiveness for health poverty alleviation.

methodsA national representative sample from the China Health and Retirement Longitudinal Study (CHARLS) was analyzed. The WHO recommended method was adopted to calculate catastrophic health expenditure (CHE) and impoverishment by medical expenses (IME). We created a binary indicator for IME as the outcome variable and applied the treatment-effect model to analyze the determinants of IME.

resultsThe incidence of IME was 7.2% of the overall population, compared to 20.3% of the sample households trapped in CHE. The incidence of IME enrolled in insurance schemes was 7.4% higher than that of uninsured families (4.8%). Economic level, living area, family size, age of household head, having hospitalized members, and participating in insurance were statistically significant for the occurrence of IME.

conclusionsThe original poverty-promoting policies has not reached the maximum point of convergence with China's current demand for health. The overlapped health vulnerabilities exacerbated the risk of poverty among the elderly and households with high health needs and utilization. In addition, the medical insurance schemes have proven to be insufficient for protection against economic burden of poor households. So, special health needs, age, and household capacity to pay should be comprehensively considered while strengthening the connection between the disease insurance scheme with supplementary insurance.

Indexed as

AdultAgedChinaFamily CharacteristicsFemaleHealth ExpendituresHumansInsurance, HealthLongitudinal StudiesMaleMiddle AgedNational Health ProgramsPovertyVulnerable PopulationsCatastrophic health expenditureHealthy povertyImpoverishment by medical expensesMedical insurancePoverty alleviation

Identifiers

PMID32245435
PMCPMC7118817
OpenAlexW3014134438

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.