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Should the poor have no medicines to cure? A study on the association between social class and social security among the rural migrant workers in urban China

Overview of attention for article published in International Journal for Equity in Health, November 2017
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Title
Should the poor have no medicines to cure? A study on the association between social class and social security among the rural migrant workers in urban China
Published in
International Journal for Equity in Health, November 2017
DOI 10.1186/s12939-017-0692-x
Pubmed ID
Authors

Ming Guan

Abstract

The rampant urbanization and medical marketization in China have resulted in increased vulnerabilities to health and socioeconomic disparities among the rural migrant workers in urban China. In the Chinese context, the socioeconomic characteristics of rural migrant workers have attracted considerable research attention in the recent past years. However, to date, no previous studies have explored the association between the socioeconomic factors and social security among the rural migrant workers in urban China. This study aims to explore the association between socioeconomic inequity and social security inequity and the subsequent associations with medical inequity and reimbursement rejection. Data from a regionally representative sample of 2009 Survey of Migrant Workers in Pearl River Delta in China were used for analyses. Multiple logistic regressions were used to analyze the impacts of socioeconomic factors on the eight dimensions of social security (sick pay, paid leave, maternity pay, medical insurance, pension insurance, occupational injury insurance, unemployment insurance, and maternity insurance) and the impacts of social security on medical reimbursement rejection. The zero-inflated negative binomial regression model (ZINB regression) was adopted to explore the relationship between socioeconomic factors and hospital visits among the rural migrant workers with social security. The study population consisted of 848 rural migrant workers with high income who were young and middle-aged, low-educated, and covered by social security. Reimbursement rejection and abusive supervision for the rural migrant workers were observed. Logistic regression analysis showed that there were significant associations between socioeconomic factors and social security. ZINB regression showed that there were significant associations between socioeconomic factors and hospital visits among the rural migrant workers. Also, several dimensions of social security had significant associations with reimbursement rejections. This study showed that social security inequity, medical inequity, and reimbursement inequity happened to the rural migrant workers simultaneously. Future policy should strengthen health justice and enterprises' medical responsibilities to the employed rural migrant workers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 16%
Student > Ph. D. Student 7 10%
Student > Bachelor 6 9%
Researcher 5 7%
Student > Doctoral Student 4 6%
Other 11 16%
Unknown 25 36%
Readers by discipline Count As %
Social Sciences 9 13%
Nursing and Health Professions 7 10%
Business, Management and Accounting 5 7%
Medicine and Dentistry 5 7%
Psychology 4 6%
Other 13 19%
Unknown 26 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 November 2017.
All research outputs
#17,920,654
of 23,008,860 outputs
Outputs from International Journal for Equity in Health
#1,657
of 1,924 outputs
Outputs of similar age
#237,174
of 331,366 outputs
Outputs of similar age from International Journal for Equity in Health
#38
of 43 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,924 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,366 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.