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      Health care utilisation amongst Shenzhen migrant workers: does being insured make a difference?

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          Abstract

          Background

          As one of the most populous metropolitan areas in the Pearl River Delta of South China, Shenzhen attracts millions of migrant workers annually. The objectives of this study were to compare health needs, self-reported health and healthcare utilisation of insured and uninsured migrant workers in Shenzhen, China, where a new health insurance scheme targeting at migrant workers was initiated.

          Methods

          A cross-sectional survey using multi-staged sampling was conducted to collect data from migrant factory workers. Statistical tests included logistic regression analysis were used.

          Results

          Among 4634 subjects (96.54%) who responded to the survey, 55.11% were uninsured. Disease patterns were similar irrespective of insurance status. The uninsured were more likely to be female, single, younger and less educated unskilled labourers with a lower monthly income compared with the insured. Out of 1136 who reported illness in the previous two weeks, 62.15% did not visit a doctor. Of the 296 who were referred for inpatient care, 48.65% did not attend because of inability to pay. Amongst those who reported sickness, 548 were insured and 588 were uninsured.

          Those that were insured, and had easier access to care were more likely to make doctor visits than those who were uninsured.

          Conclusion

          Health care utilisation patterns differ between insured and uninsured workers and insurance status appears to be a significant factor. The health insurance system is inequitably distributed amongst migrant workers. Younger less educated women who are paid less are more likely to be uninsured and therefore to pay out of pocket for their care. For greater equity this group need to be included in the insurance schemes as they develop.

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          Most cited references18

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          Immigrants and health care: sources of vulnerability.

          Immigrants have been identified as a vulnerable population, but there is heterogeneity in the degree to which they are vulnerable to inadequate health care. Here we examine the factors that affect immigrants' vulnerability, including socioeconomic background; immigration status; limited English proficiency; federal, state, and local policies on access to publicly funded health care; residential location; and stigma and marginalization. We find that, overall, immigrants have lower rates of health insurance, use less health care, and receive lower quality of care than U.S.-born populations; however, there are differences among subgroups. We conclude with policy options for addressing immigrants' vulnerabilities.
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            Understanding the context of healthcare utilization: assessing environmental and provider-related variables in the behavioral model of utilization.

            The behavioral model of utilization, developed by Andersen, Aday, and others, is one of the most frequently used frameworks for analyzing the factors that are associated with patient utilization of healthcare services. However, the use of the model for examining the context within which utilization occurs-the role of the environment and provider-related factors-has been largely neglected. To conduct a systematic review and analysis to determine if studies of medical care utilization that have used the behavioral model during the last 20 years have included environmental and provider-related variables and the methods used to analyze these variables. We discuss barriers to the use of these contextual variables and potential solutions. The Social Science Citation Index and Science Citation Index. We included all articles from 1975-1995 that cited any of three key articles on the behavioral model, that included all articles that were empirical analyses and studies of formal medical care utilization, and articles that specifically stated their use of the behavioral model (n = 139). Design was a systematic literature review. We used a structured review process to code articles on whether they included contextual variables: (1) environmental variables (characteristics of the healthcare delivery system, external environment, and community-level enabling factors); and (2) provider-related variables (patient factors that may be influenced by providers and provider characteristics that interact with patient characteristics to influence utilization). We also examined the methods used in studies that included contextual variables. Forty-five percent of the studies included environmental variables and 51 percent included provider-related variables. Few studies examined specific measures of the healthcare system or provider characteristics or used methods other than simple regression analysis with hierarchical entry of variables. Only 14 percent of studies analyzed the context of healthcare by including both environmental and provider-related variables as well as using relevant methods. By assessing whether and how contextual variables are used, we are able to highlight the contributions made by studies using these approaches, to identify variables and methods that have been relatively underused, and to suggest solutions to barriers in using contextual variables.
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              The basic principles of migration health: Population mobility and gaps in disease prevalence

              Currently, migrants and other mobile individuals, such as migrant workers and asylum seekers, are an expanding global population of growing social, demographic and political importance. Disparities often exist between a migrant population's place of origin and its destination, particularly with relation to health determinants. The effects of those disparities can be observed at both individual and population levels. Migration across health and disease disparities influences the epidemiology of certain diseases globally and in nations receiving migrants. While specific disease-based outcomes may vary between migrant group and location, general epidemiological principles may be applied to any situation where numbers of individuals move between differences in disease prevalence. Traditionally, migration health activities have been designed for national application and lack an integrated international perspective. Present and future health challenges related to migration may be more effectively addressed through collaborative global undertakings. This paper reviews the epidemiological relationships resulting from health disparities bridged by migration and describes the growing role of migration and population mobility in global disease epidemiology. The implications for national and international health policy and program planning are presented.
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                Author and article information

                Journal
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central
                1472-6963
                2009
                21 November 2009
                : 9
                : 214
                Affiliations
                [1 ]Shenzhen Centre for Disease Control and Prevention, Shenzhen, 518020, Guangdong, China
                [2 ]School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
                [3 ]Shenzhen Health Bureau, Shenzhen, Guangdong, China
                Article
                1472-6963-9-214
                10.1186/1472-6963-9-214
                2788549
                19930580
                3c9a1f29-d7c7-4a2c-a86a-9de35db33b20
                Copyright ©2009 Mou 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
                : 18 March 2009
                : 21 November 2009
                Categories
                Research article

                Health & Social care
                Health & Social care

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