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      Rural-to-urban migration and its implication for new cooperative medical scheme coverage and utilization in China

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          Abstract

          Background

          China has been experiencing the largest rural to urban migration in history. Rural-to-urban migrants are those who leave their hometown for another place in order to work or live without changing their hukou status, which is a household registration system in China, categorizing people as either rural residents or urban residents. Rural-to-urban migrants typically find better job opportunities in destination cities, and these pay higher salaries than available in their home regions. This has served to improve the enrollment rates in the New Cooperative Medical Scheme (NCMS) of rural families, protecting households from falling into poverty due to diseases. However, current regulations stipulate that people who are registered in China's rural hukou can only participate in their local NCMS, which in turn poses barriers when migrants seek medical services in the health facilities of their destination cities. To examine this issue in greater depth, this study examined the associations between migration, economic status of rural households, and NCMS enrollment rate, as well as NCMS utilization of rural-to-urban migrants.

          Methods

          A multistage cluster sampling procedure was adopted. Our sample included 9,097 households and 36,720 individuals. Chi-square test and T-test were used to examine differences between the two populations of migrants and non-migrants based on age, gender, marriage status, and highest level of education. Ordinal logistic regression was used to examine the association between migration and household economic status. Binary logistic regression was used to examine the associations between household economic status, migration and enrollment in the NCMS.

          Results

          Migration was positively associated with improved household economic status. In households with no migrants, only 11.3% of the population was in the richest quintile, whereas the percentage was more than doubled in households with family members who migrated in 2006. Among those using in-patient medical services, 54.3% of migrants in comparison with 17.5% of non-migrants used out-of-county hospitals, many of which were not designated hospitals (Designated hospitals refer to hospitals where, if people use in patient health care, could receive reimbursement from the NCMS.); and 55.2% of migrants in comparison with 24.6% of non-migrants, who had the NCMS in 2006, received no reimbursement from the NCMS. The three main reasons of not receiving reimbursement were: staying in a hospital not designated by the NCMS, lack of knowledge of NCMS policies, and encountering difficulties obtaining reimbursement.

          Conclusion

          Migrants to urban centers improve the economic status of their rural household economic of origin. However, obtaining reimbursement under the current NCMS for the cost of hospital services provided by undesignated providers in urban centers is limited. Addressing this challenge is an emerging policy priority.

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          Most cited references20

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          Estimating wealth effects without expenditure data--or tears: an application to educational enrollments in states of India.

          Using data from India, we estimate the relationship between household wealth and children's school enrollment. We proxy wealth by constructing a linear index from asset ownership indicators, using principal-components analysis to derive weights. In Indian data this index is robust to the assets included, and produces internally coherent results. State-level results correspond well to independent data on per capita output and poverty. To validate the method and to show that the asset index predicts enrollments as accurately as expenditures, or more so, we use data sets from Indonesia, Pakistan, and Nepal that contain information on both expenditures and assets. The results show large, variable wealth gaps in children's enrollment across Indian states. On average a "rich" child is 31 percentage points more likely to be enrolled than a "poor" child, but this gap varies from only 4.6 percentage points in Kerala to 38.2 in Uttar Pradesh and 42.6 in Bihar.
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            Measuring inequality with asset indicators

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              The measurement of SES in health research: current practice and steps toward a new approach.

              The resurgence of social epidemiology has yet to induce corresponding research into basic measurement issues. This paper aims to motivate investigators to refocus attention on the measurement of socioeconomic status (SES). With a primarily American focus, we document striking paucity of basic research in SES, review the history of SES measurement, highlight the central limitations of current measurement approaches, sketch a new theoretical perspective, present new pilot results, and outline areas for future research. We argue (1) that lack of conceptual clarity and the bypassing of standard psychometric techniques have retarded SES measurement. And (2) social epidemiologists should revisit the measurement of SES and consider whether a richer, psychometrically induced, approach would be more useful. Our pilot study suggests a great deal of uniformity between existing SES measures and that a new approach may be worthy of pursuit.
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                Author and article information

                Journal
                BMC Public Health
                BMC Public Health
                BioMed Central
                1471-2458
                2011
                30 June 2011
                : 11
                : 520
                Affiliations
                [1 ]West China School of Public Health, Sichuan University, No. 17, Section 3, South Renmin Road, Chengdu, Sichuan, China
                Article
                1471-2458-11-520
                10.1186/1471-2458-11-520
                3142513
                21718506
                930e3571-0e1f-49e1-bbfb-84a9d3938079
                Copyright ©2011 Qiu et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 28 January 2011
                : 30 June 2011
                Categories
                Research Article

                Public health
                new cooperative medical scheme,china,ncms,migration,rural-to-urban
                Public health
                new cooperative medical scheme, china, ncms, migration, rural-to-urban

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