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Health Care Services Utilization of Persons with Direct, Indirect and without Migration Background in Germany: A Longitudinal Study Based on the German Socio-Economic Panel (SOEP)

Author

Listed:
  • Thomas Grochtdreis

    (Hamburg Center for Health Economics, Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany)

  • Hans-Helmut König

    (Hamburg Center for Health Economics, Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany)

  • Judith Dams

    (Hamburg Center for Health Economics, Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany)

Abstract

There is ambiguous evidence with regard to the inequalities in health care services utilization (HCSU) among migrants and non-migrants in Germany. The aim of this study was to analyze the utilization of doctors and hospitalization of persons with direct and indirect migration background as well as those without in Germany. This study was based on data of the German Socio-Economic Panel using the adult sample of the years 2013 to 2019. HCSU was measured by self-reported utilization of doctors and hospitalization. Associations between HCSU and migration background were examined using multilevel mixed-effects logistic regression and zero-truncated multilevel mixed-effects generalized linear models. The odds ratios of utilization of doctors and hospitalization for persons with direct migration background compared with persons without migration background were 0.73 ( p < 0.001) and 0.79 ( p = 0.002), respectively. A direct migration background was associated with a 6% lower number of doctoral visits within three months compared with no migration background ( p = 0.023). Persons with direct migration background still have a lower HCSU than persons without migration background in Germany. Access to health care needs to be ensured and health policy-makers are called upon to keep focus on the issue of inequalities in HCSU between migrants and non-migrants in Germany.

Suggested Citation

  • Thomas Grochtdreis & Hans-Helmut König & Judith Dams, 2021. "Health Care Services Utilization of Persons with Direct, Indirect and without Migration Background in Germany: A Longitudinal Study Based on the German Socio-Economic Panel (SOEP)," IJERPH, MDPI, vol. 18(21), pages 1-14, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11640-:d:673187
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    References listed on IDEAS

    as
    1. Hilbe,Joseph M., 2014. "Modeling Count Data," Cambridge Books, Cambridge University Press, number 9781107028333.
    2. Helen Baykara-Krumme & Nadja Milewski, 2017. "Fertility Patterns Among Turkish Women in Turkey and Abroad: The Effects of International Mobility, Migrant Generation, and Family Background," European Journal of Population, Springer;European Association for Population Studies, vol. 33(3), pages 409-436, July.
    3. Qais Alemi & Carl Stempel & Patrick Marius Koga & Valerie Smith & Didem Danis & Kelly Baek & Susanne Montgomery, 2017. "Determinants of Health Care Services Utilization among First Generation Afghan Migrants in Istanbul," IJERPH, MDPI, vol. 14(2), pages 1-12, February.
    4. Thomas Grochtdreis & Hans-Helmut König & Judith Dams, 2021. "Health-Related Quality of Life of Persons with Direct, Indirect and No Migration Background in Germany: A Cross-Sectional Study Based on the German Socio-Economic Panel (SOEP)," IJERPH, MDPI, vol. 18(7), pages 1-12, April.
    5. Heide Glaesmer & Ulla Wittig & Elmar Braehler & Alexandra Martin & Ricarda Mewes & Winfried Rief, 2011. "Health care utilization among first and second generation immigrants and native-born Germans: a population-based study in Germany," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(5), pages 541-548, October.
    6. Yuriy Nesterko & Carmen Meiwes Turrión & Michael Friedrich & Heide Glaesmer, 2019. "Trajectories of health-related quality of life in immigrants and non-immigrants in Germany: a population-based longitudinal study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(1), pages 49-58, January.
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