Evidence map›Paper›PMID 31653250›Full record

ArticleBMC public health2019

Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis.

Wei Xian, Xueying Xu, Junling Li, Jinbin Sun, Hezi Fu, Shaoning Wu, Hongbo Liu

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Wei XianSchool of Public Health, China Medical University, Shenyang, People's Republic of China.
Xueying XuSchool of Public Health, China Medical University, Shenyang, People's Republic of China.
Junling LiSchool of Public Health, China Medical University, Shenyang, People's Republic of China.
Jinbin SunSchool of Public Health, China Medical University, Shenyang, People's Republic of China.
Hezi FuSimon Fraser University, Burnaby, Canada.
Shaoning WuSchool of Public Health, China Medical University, Shenyang, People's Republic of China.
Hongbo LiuSchool of Public Health, China Medical University, Shenyang, People's Republic of China. hbliu@cmu.edu.cn.ORCID http://orcid.org/0000-0002-7404-4271

Funding

the National Natural Science Foundation of Liaoning Province no.2014021099the Social Sciences Foundation of Liaoning Province no.L18ATJ001
6 · The paper itself

Abstract

backgroundSince economic inequality is often accompanied by health inequalities, health care inequalities are increasingly becoming a hot issue on a global scale. As a developing country, China is still facing the same problems as other countries in the world. Especially in underdeveloped regions, owing to the relatively backward economy, health care inequality may be more serious. The objective of this study was to explore health care inequality in a socioeconomically underdeveloped city, thus providing a certain theoretical basis for further development and reform of the medical insurance schemes.

methodsWe mainly extracted relevant insurance information of 628,952 insured enrollees, as well as consumption of outpatient visit and hospitalization. The propensity score matching had been used to estimate different urban medical insurance schemes effect on healthcare utilization, the choice of hospital types and healthcare cost.

resultsInsured enrollees spent most hospitalization expenses in tertiary-level hospitals, which had lowest hospitalization compensation ratios. Healthcare utilization and cost vary significantly by different insurance schemes. Urban employees had significantly higher outpatient visit rates in all hospital types than urban residents. Urban employees preferred to receive hospitalization treatment in tertiary-level hospitals, while those who receive hospitalization treatment in first-level hospitals are more likely to be enrolled in Urban Residents Basic Medical Insurance. Hospitalization expenses and hospitalization compensation ratios of urban employees were also significantly higher than urban residents in all hospital types.

conclusionsHealth care inequality is mainly reflected in the imbalance between hospitalization expenses and hospitalization compensation ratios, as well as inequalities under different medical insurance schemes in healthcare utilization, the choice of hospital types and healthcare cost in socioeconomically underdeveloped regions of China. We should conduct a targeted medical insurance reform for the socioeconomically underdeveloped regions, rather than applying templates of ordinary regions. Further efforts are needed in the future to provide equal health care for every patient.

Indexed as

Poverty AreasAdolescentAdultChinaFemaleHealthcare DisparitiesHumansInsurance, HealthMaleMiddle AgedPropensity ScoreYoung AdultHealthcare costHealth care inequalityHealthcare utilizationPropensity scorePropensity score matching

Identifiers

PMID31653250
PMCPMC6815066

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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.