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      Subjective health of undocumented migrants in Germany – a mixed methods approach

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          Abstract

          Background

          Health of migrants is known to be above-average in the beginning of the migration trajectory. At the same time reports from non-government organisations (NGOs) suggest that undocumented migrants in Germany tend to present late and in poor health at healthcare facilities. In this paper, we explore the health status of undocumented migrants with a mixed method approach including complementary qualitative and quantitative datasets.

          Methods

          Undocumented migrants attending a NGO based in Hamburg, Germany, were asked to fill in the SF-12v2, a standardized questionnaire measuring health-related quality of life (HRQOL). The SF-12v2 was analyzed in comparison to the U.S. American norm sample and a representative German sample. Differences in mean scores for HRQOL were evaluated with a t-test and with a generalized linear model analyzing the impact of living without legal status on HRQOL. The quantitative research was complemented by a qualitative ethnographic study on undocumented migration and health in Berlin, Germany. The study included semi-structured interviews, informal conversations and participant observation with Latin American migrants over the course of three years. The study focused on subjective experiences of illness and health and the impact of illegality on migrants’ health and access to health care.

          Results

          HRQOL was significantly worse in the sample of undocumented migrants ( n = 96) as compared to the U.S. American sample ( p < 0.005). Living without legal status displayed a significant negative effect on subjective mental and physical health ( p ≤ 0.003) in the generalized linear model when adjusted for age and gender compared to the representative German population sample. The ethnographic study, which included 35 migrants, identified socio-economic conditions, the subjective experiences of criminalization, and late presentation at healthcare-facilities as the three main factors impacting on health from migrant perspective.

          Discussion

          The present research suggests a high morbidity and mortality in this comparatively young population. The ethnographic research confirms negative impacts on health of social determinants in general and stressassociated with living without legal status in particular, both are further aggravated by exclusion from health care services. In addition to the provision of health care it appears to be important to structurally tackle the underlying social conditions which affect undocumented migrants’ health.

          Conclusions

          Living without legal status has a negative impact on health and well-being. Limited access to care may further exacerbate physical and mental illness. Possibilities to claim basic rights and protection as well as access to care without legal status appear to be important measures to improve health and well-being.

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          Most cited references24

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          Health-related quality of life associated with chronic conditions in eight countries: results from the International Quality of Life Assessment (IQOLA) Project.

          Few studies and no international comparisons have examined the impact of multiple chronic conditions on populations using a comprehensive health-related quality of life (HRQL) questionnaire. The impact of common chronic conditions on HRQL among the general populations of eight countries was assessed. Cross-sectional mail and interview surveys were conducted. Sample representatives of the adult general population of eight countries (Denmark, France, Germany, Italy, Japan, The Netherlands, Norway and the United States) were evaluated. Sample sizes ranged from 2031 to 4084. Self-reported prevalence of chronic conditions (including allergies, arthritis, congestive heart failure, chronic lung disease, hypertension, diabetes, and ischemic heart disease), sociodemographic data and the SF-36 Health Survey were obtained. The SF-36 scale and summary scores were estimated for individuals with and without selected chronic conditions and compared across countries using multivariate linear regression analyses. Adjustments were made for age, gender, marital status, education and the mode of SF-36 administration. More than half (55.1%) of the pooled sample reported at least one chronic condition, and 30.2% had more than one. Hypertension, allergies and arthritis were the most frequently reported conditions. The effect of ischemic heart disease on many of the physical health scales was noteworthy, as was the impact of diabetes on general health, or arthritis on bodily pain scale scores. Arthritis, chronic lung disease and congestive heart failure were the conditions with a higher impact on SF-36 physical summary score, whereas for hypertension and allergies, HRQL impact was low (comparing with a typical person without chronic conditions, deviation scores were around -4 points for the first group and -1 for the second). Differences between chronic conditions in terms of their impact on SF-36 mental summary score were low (deviation scores ranged between -1 and -2). Arthritis has the highest HRQL impact in the general population of the countries studied due to the combination of a high deviation score on physical scales and a high frequency. Impact of chronic conditions on HRQL was similar roughly across countries, despite important variation in prevalence. The use of HRQL measures such as the SF-36 should be useful to better characterize the global burden of disease.
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            Structural vulnerability and health: Latino migrant laborers in the United States.

            Latino immigrants in the United States constitute a paradigmatic case of a population group subject to structural violence. Their subordinated location in the global economy and their culturally depreciated status in the United States are exacerbated by legal persecution. Medical Anthropology, Volume 30, Numbers 4 and 5, include a series of ethnographic analyses of the processes that render undocumented Latino immigrants structurally vulnerable to ill health. We hope to extend the social science concept of "structural vulnerability" to make it a useful concept for health care. Defined as a positionality that imposes physical/emotional suffering on specific population groups and individuals in patterned ways, structural vulnerability is a product of class-based economic exploitation and cultural, gender/sexual, and racialized discrimination, as well as complementary processes of depreciated subjectivity formation. A good-enough medicalized recognition of the condition of structural vulnerability offers a tool for developing practical therapeutic resources. It also facilitates political alternatives to the punitive neoliberal policies and discourses of individual unworthiness that have become increasingly dominant in the United States since the 1980s. Copyright © 2011 Taylor & Francis Group, LLC
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              Health care expenditure prediction with a single item, self-rated health measure.

              Prediction models that identify populations at risk for high health expenditures can guide the management and allocation of financial resources. To compare the ability for identifying individuals at risk for high health expenditures between the single-item assessment of general self-rated health (GSRH), "In general, would you say your health is Excellent, Very Good, Good, Fair, or Poor?," and 3 more complex measures. We used data from a prospective cohort, representative of the US civilian noninstitutionalized population, to compare the predictive ability of GSRH to: (1) the Short Form-12, (2) the Seattle Index of Comorbidity, and (3) the Diagnostic Cost-Related Groups/Hierarchal Condition Categories Relative-Risk Score. The outcomes were total, pharmacy, and office-based annualized expenditures in the top quintile, decile, and fifth percentile and any inpatient expenditures. Medical Expenditure Panel Survey panels 8 (2003-2004, n = 7948) and 9 (2004-2005, n = 7921). The GSRH model predicted the top quintile of expenditures, as well as the SF-12, Seattle Index of Comorbidity, though not as well as the Diagnostic Cost-Related Groups/Hierarchal Condition Categories Relative-Risk Score: total expenditures [area under the curve (AUC): 0.79, 0.80, 0.74, and 0.84, respectively], pharmacy expenditures (AUC: 0.83, 0.83, 0.76, and 0.87, respectively), and office-based expenditures (AUC: 0.73, 0.74, 0.68, and 0.78, respectively), as well as any hospital inpatient expenditures (AUC: 0.74, 0.76, 0.72, and 0.78, respectively). Results were similar for the decile and fifth percentile expenditure cut-points. A simple model of GSRH and age robustly stratifies populations and predicts future health expenditures generally as well as more complex models.
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                Author and article information

                Contributors
                anna.kuehne@gmx.de
                susann.huschke@gmail.com
                bullinger@uke.uni-hamburg.de
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                19 September 2015
                19 September 2015
                2015
                : 15
                : 926
                Affiliations
                [ ]Department of Medical Psychology, Universitaetsklinikum Hamburg-Eppendorf (UKE), Martinistr. 52, 20246 Hamburg, Germany
                [ ]School of Public Health (SPH) & African Centre for Migration and Society (ACMS), University of the Witwatersrand, 27 St Andrews Road, Parktown, 2193 South Africa
                Article
                2268
                10.1186/s12889-015-2268-2
                4575784
                26386952
                c20a373c-2360-46a7-a696-f2b1dccf9dbf
                © Kuehne et al. 2015

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 8 January 2015
                : 14 September 2015
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                Public health
                undocumented migrants,illegal migrants,migration,immigrants,subjective health,health-related quality of life,health status,access to care,social determinants of health,germany

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