Income-related health inequality of migrant workers in China and its decomposition: An analysis based on the 2012 China Labor-force Dynamics Survey data

Shao, Cenyi; Meng, Xuehui; Cui, Shichen; Wang, Jingru; Li, Chengcheng

doi:10.1016/j.jcma.2016.02.009

Cited by 42 publications

(44 citation statements)

References 37 publications

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“…Numerous variables are available in CHARLS. Followed by prior empirical investigations [22][23][24][25][26][27], all possible variables that may produce migrants' health were considered in our study. Four groups of variables were considered in this study.…”

Section: Independent Variablesmentioning

confidence: 99%

“…Hong et al [13] examined health inequalities of older rural-to-urban migrant workers (aged 45-70) in three cities of China and found that the richer were at a disadvantage in health disparities. Wu et al [2] compared older rural-to-urban migrant workers (aged 50 and above) with the middle-aged rural-to-urban migrant workers (aged [30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49] and young rural-to-urban migrant workers (aged [16][17][18][19][20][21][22][23][24][25][26][27][28][29], and reported that older rural-to-urban migrant workers' mental health was inferior to that of middle-aged rural-to-urban migrant workers and young rural-to-urban migrant workers. However, Hong and Wu did not compare the health status with rural counterparts.…”

Section: Introductionmentioning

confidence: 99%

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Health Disparity between the Older Rural-to-Urban Migrant Workers and Their Rural Counterparts in China

Zhou

Shen

et al. 2020

IJERPH

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Background: China’s older rural-to-urban migrant workers (age 50 and above) are growing old, but comparative health research on older rural-to-urban migrants in China is still in its infancy. The aim is to explore the health status of older rural-to-urban migrant workers in China; as well as to identify health disparity between older rural-to-urban migrant workers and older rural dwellers. Methods: This study employed self-assessed health status (SAH) and chronic disease condition to explore the health status. Coarsened exact matching (CEM) was employed to improve estimation of causal effects. Fairlie’s decomposition analysis was conducted to find the health disparity. Results: Older rural-to-urban migrant workers were more prone to suffer from chronic diseases, but they had higher SAH when comparing older rural dwellers. Fairlie’s decomposition analysis indicated 10.44% of SAH disparities between two older groups can be traced to bath facility; 31.34% of chronic diseases disparities can be traced to educational attainment, sleeping time and medical scheme. Conclusions: This is the first comparative study examining health disparity focusing on older rural-to-urban migrant workers. Our study highlighted substantial health disparities between older rural-to-urban migrant workers and their older rural dwellers. Based on the contributing factors, government should take the drivers of health disparities into consideration in policy setting.

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Section: Independent Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Health Disparity between the Older Rural-to-Urban Migrant Workers and Their Rural Counterparts in China

Zhou

Shen

et al. 2020

IJERPH

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“…The health status and healthcare utilisation among internal migrants, a population defined as those who live in a new residence for more than 1 month but do not have a local ‘Hukou’ of the new residence (registered resident certificate), has become an important research focus in China. 1–5 The reason for this special interest is that within China’s three-tiered healthcare delivery system, there has been a tendency for people to pursue higher-level hospitalisation service, with admissions to tertiary hospitals increasing by 13.5 percentage points (from 22.5% to 36.0%) and admissions to primary care facilities decreasing from 38.4% to 26.4% between 2009 and 2015. 6 This tendency was more marked in internal migrants; 43.6% of migrants with admission chose the tertiary hospitals in 2014, higher by 7.6 percentage points than that in general population.…”

Section: Introductionmentioning

confidence: 99%

Association between social health insurance and choice of hospitals among internal migrants in China: a national cross-sectional study

et al. 2018

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ObjectivesThere is a tendency to pursue higher-level hospitalisation services in China, especially for internal migrants. This study aims to investigate the choices of hospitalisation services among internal migrants, and evaluate the association between social health insurance and hospitalisation choices.MethodsData were from a 2014 nationally representative cross-sectional sample of internal migrants aged 15–59 years in China. Descriptive analyses were used to perform the distribution of healthcare facility levels for hospitalisation services, and multinomial logistic regression was applied to examine the association between social health insurance and hospitalisation choices.ResultsOf the 6121 inpatient care users, only 11.50% chose the primary healthcare facilities for hospitalisation services, 44.91% chose the secondary hospitals and 43.59% preferred the tertiary hospitals. The choices presented large regional variations across the country. Compared with the uninsured, social health insurance had no statistically significant effect on patient choices of healthcare facility levels among internal migrants in China, whereas socioeconomic status was positively associated with the choices.ConclusionsSocial health insurance had little influence on the hospital choice among the internal migrants. Thus, social health insurance should be consolidated and portable to enhance the proper incentive of health insurance on healthcare seeking behaviours.

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“…Decomposing socioeconomic-related health inequality can help to uncover specific factors that are potentially modifiable by policy decision makers. The dominant decomposition approach, the Wagstaff decomposition method, was proposed by Wagstaff et al [22] and has been used extensively in previous studies [9, 23]. However, there are potential concerns with this decomposition method.…”

Section: Introductionmentioning

confidence: 99%

Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach

Cai

Coyte

Zhao

2017

Int J Equity Health

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BackgroundIn recent decades, China has experienced tremendous economic growth and also witnessed growing socioeconomic-related health inequality. The study aims to explore the potential causes of socioeconomic-related health inequality in urban and rural areas of China over the past two decades.MethodsThis study used six waves of the China Health and Nutrition Survey (CHNS) from 1991 to 2006. The recentered influence function (RIF) regression decomposition method was employed to decompose socioeconomic-related health inequality in China. Health status was derived from self-rated health (SRH) scores. The analyses were conducted on urban and rural samples separately.ResultsWe found that the average level of health status declined from 1989 to 2006 for both urban and rural populations. Average health scores were greater for the rural population compared with those for the urban population. We also found that there exists pro-rich health inequality in China. While income and secondary education were the main factors to reduce health inequality, older people, unhealthy lifestyles and a poor home environment increased inequality. Health insurance had the opposite effects on health inequality for urban and rural populations, resulting in lower inequality for urban populations and higher inequality for their rural counterparts.ConclusionThese findings suggest that an effective way to reduce socioeconomic-related health inequality is not only to increase income and improve access to health care services, but also to focus on improvements in the lifestyles and the home environment. Specifically, for rural populations, it is particularly important to improve the design of health insurance and implement a more comprehensive insurance package that can effectively target the rural poor. Moreover, it is necessary to comprehensively promote the flush toilets and tap water in rural areas. For urban populations, in addition to promoting universal secondary education, healthy lifestyles should be promoted, including measures such as alcohol control.Electronic supplementary materialThe online version of this article (doi:10.1186/s12939-017-0624-9) contains supplementary material, which is available to authorized users.

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Income-related health inequality of migrant workers in China and its decomposition: An analysis based on the 2012 China Labor-force Dynamics Survey data

Cited by 42 publications

References 37 publications

Health Disparity between the Older Rural-to-Urban Migrant Workers and Their Rural Counterparts in China

Health Disparity between the Older Rural-to-Urban Migrant Workers and Their Rural Counterparts in China

Association between social health insurance and choice of hospitals among internal migrants in China: a national cross-sectional study

Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach

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