Evidence map›Paper›PMID 32228665›Full record

SynthesisBMC public health2020

Barriers of effective health insurance coverage for rural-to-urban migrant workers in China: a systematic review and policy gap analysis.

Shanquan Chen, Yingyao Chen, Zhanchun Feng, Xi Chen, Zheng Wang, Jianfeng Zhu, Jun Jin, Qiang Yao, Li Xiang, Lan Yao and 5 more

Open access · goldAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis 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 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
10.9field-weighted citation impact, top 1% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 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

15 authors at 10 institutions in 4 countries.

Shanquan ChenThe School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Yingyao ChenSchool of Public Health, Fudan University, Shanghai, China.
Zhanchun FengSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xi ChenDepartment of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, USA.
Zheng WangResearch Center for Healthcare Management, School of Economic and Management, Tsinghua University, Beijing, China.
Jianfeng ZhuSchool of Social Development and Public Policy, Fudan University, Shanghai, China.
Jun JinDepartment of Sociology, Tsinghua University, Beijing, China.
Qiang YaoSchool of Political Science and Public Administration, Wuhan University, Wuhan, Hubei, China.
Li XiangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lan YaoSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ju SunSchool of Political Science and Public Administration, Wuhan University, Wuhan, Hubei, China.
Lu ZhaoState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Hong FungThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Eliza Lai-Yi WongThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Dong DongThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China. dongdong@cuhk.edu.hk.ORCID http://orcid.org/0000-0001-9784-6472
Chinese University of Hong Kong · HKFudan University · CNHuazhong University of Science and Technology · CNWuhan University · CNFood and Health Bureau · CNGuiyang Medical University · CNState Key Laboratory of Diagnosis and Treatment of Infectious DiseasesTsinghua University · CNUniversity of Cambridge · GBYale New Haven Health System · US

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Lauren Ferrante · 2002 to 2026
$37.9M
Social Pension, Health, and Healthy AgingK01AG053408 · NIA · YALE UNIVERSITY · PI CHEN, XI · 2018 to 2021
$514k
NIA NIH HHS K01 AG053408NIA NIH HHS P30 AG021342
6 · The paper itself

Abstract

backgroundMore than 90% of the Chinese population was covered by its three basic social health insurances. However, the Chinese rural-to-urban migrant workers (RUMWs), accounting for about one-fifth of China's total population, seem to be put on a disadvantaged position under the current health insurance schemes. The purpose of this study is to identify the current barriers and to provide policy suggestions to the ineffective health insurance coverage of RUMWs in China.

methodsA systematic review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The searched databases included PubMed, Embase, Medline, Web of Science, PsycINFO, Maternity and Infant Care Database MIDIRS, the Cochrane Library, WHO Library Database (WHOLIS), WHO Global Health Library, World Bank eLibrary, OpenGrey, CNKI, and Wanfang. In total, 70 articles were reviewed.

results(1) Chinese RUMWs have high work mobility and low job stability; (2) Barriers faced by RUMWs in obtaining effective health insurance coverage are primarily due to the reluctance of employers to provide insurance for all employees and the disadvantaged position held by RUMWs when negotiating with their employers; (3) Fissures among existing health insurance schemes leaves no room for RUMWs to meet their primary needs; and (4) Recent efforts in improving the portability and transferability of insurance across borders and schemes are not enough to solve the barriers.

conclusionIt is argued that the Chinese central government must deal with the fragmentation of healthcare system in China and promote effective coverage by: (1) playing a more active role in coordinating different healthcare and social welfare schemes across the country, (2) increasing the health insurance portability, (3) making the healthcare policies more compatible with RUMW's characteristics to meet their primary health needs, (4) strengthening supervision of employers, and (5) providing more vocational training and other support to increase RUMW's job stability.

Indexed as

ChinaDelivery of Health CareFemaleHealthcare DisparitiesHealth PolicyHumansInsurance CoverageInsurance, HealthMalePopulation DynamicsRural PopulationState MedicineTransients and MigrantsUrban PopulationVulnerable PopulationsChinaRural-to-urban migrant workersSystematic reviewUniversal health coverage

Identifiers

PMID32228665
PMCPMC7106835
OpenAlexW3012983965

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.