2021
DOI: 10.3390/ijerph182010851
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Assessing Income-Related Inequality on Health Service Utilization among Chinese Rural Migrant Workers with New Co-Operative Medical Scheme: A Multilevel Approach

Abstract: Background: Eliminating inequality in health service utilization is an explicit goal of China’s health system. Rural migrant workers with New Rural Cooperative Medical Insurance (NCMS) still face the dilemma of limited health service; however, there is a lack of analysis or measurement on the income-related inequality of health service utilization. Method: The nationally representative data of the China Labor-Force Dynamic Survey in 2016 were used for analysis. Multilevel regressions were used to obtain robust… Show more

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Cited by 12 publications
(28 citation statements)
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References 31 publications
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“…The Chinese government should spare more coordinated and comprehensive efforts to ensure people’s equal access to health services, especially that of rural migrant workers. In line with previous studies [ 5 , 25 ], the current health service system discouraged rural migrant workers from seeking appropriate care of good quality. Combined with this factor and others, such as: the lack of specific implementation rules for NCMS, low income, frequent job changes, and high work intensity, have led to poor health service utilization by those workers.…”
Section: Discussionsupporting
confidence: 80%
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“…The Chinese government should spare more coordinated and comprehensive efforts to ensure people’s equal access to health services, especially that of rural migrant workers. In line with previous studies [ 5 , 25 ], the current health service system discouraged rural migrant workers from seeking appropriate care of good quality. Combined with this factor and others, such as: the lack of specific implementation rules for NCMS, low income, frequent job changes, and high work intensity, have led to poor health service utilization by those workers.…”
Section: Discussionsupporting
confidence: 80%
“…In the Chinese socio-cultural context, we simplified the analysis framework considering the availability of data and the purposes of our study. We set parameters for the following variables of the conceptual framework: Individual characteristics: age group (50 ~ 60, 61 and above), gender (male, female), living arrangement (living with spouse, living without spouse), educational attainment (below primary school, primary school, middle school and above), technical certificate (yes, no), type of industry (professional technician/clerical staff, service staff, manufacturing and construction, freelancer), type of employer (party/government institutions and state/collective-owned enterprises, private/foreign/joint venture, self-employed and freelancer), migration distance (within the county/district, cross the county/district), working hour (moderate labor, excessive labor [ 5 ]), income quintiles (poorest, poorer, middle, richer, richest), injury insurance (yes, no), number of friends (≤ 5, 6 ~ 10, ≥ 11), SAH (good, fair, poor). health behavior: smoking (yes, no), alcohol use (yes, no), regular exercise per month (yes, no).…”
Section: Methodsmentioning
confidence: 99%
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“…A considerable body of literature has focused on the health-related issues in older migrants. Significantly, plenty of studies accentuated public health services utilization in internal migrants (13,(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29). One of the main findings of those studies provides preliminary evidence that migrants had higher health care needs than native residents (13).…”
Section: Introductionmentioning
confidence: 99%
“…For example, a study indicated that COVID-19 lockdown reduced numbers of patients living in poor socio-economic conditions accessing the mental health service [ 49 ]. A study among rural migrant workers in China indicated that unequal health service utilization sourced from income-related inequality [ 50 ]. A study in Japan concluded change in household income might influence the utilization of long-term home care services [ 51 ].…”
Section: Introductionmentioning
confidence: 99%