IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i21p11640-d673187.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/21/11640/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/21/11640/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hilbe,Joseph M., 2014. "Modeling Count Data," Cambridge Books, Cambridge University Press, number 9781107611252, September.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luiz Paulo Fávero & Joseph F. Hair & Rafael de Freitas Souza & Matheus Albergaria & Talles V. Brugni, 2021. "Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships," Mathematics, MDPI, vol. 9(10), pages 1-28, May.
    2. Wu, Jiang & Ou, Guiyan & Liu, Xiaohui & Dong, Ke, 2022. "How does academic education background affect top researchers’ performance? Evidence from the field of artificial intelligence," Journal of Informetrics, Elsevier, vol. 16(2).
    3. Tiziana Pagnani & Elisabetta Gotor & Enoch Kikulwe & Francesco Caracciolo, 2021. "Livelihood assets’ influence on Ugandan farmers’ control practices for Banana Xanthomonas Wilt (BXW)," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-19, December.
    4. Mutz, Rüdiger & Daniel, Hans-Dieter, 2018. "The bibliometric quotient (BQ), or how to measure a researcher’s performance capacity: A Bayesian Poisson Rasch model," Journal of Informetrics, Elsevier, vol. 12(4), pages 1282-1295.
    5. Kimberly S. Weems & Paul J. Smith, 2018. "Assessing the robustness of estimators when fitting Poisson inverse Gaussian models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 81(8), pages 985-1004, November.
    6. Yuriy Nesterko & David Jäckle & Michael Friedrich & Laura Holzapfel & Heide Glaesmer, 2020. "Health care needs among recently arrived refugees in Germany: a cross-sectional, epidemiological study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(6), pages 811-821, July.
    7. Chiara Bocci & Laura Grassini & Emilia Rocco, 2021. "A multiple inflated negative binomial hurdle regression model: analysis of the Italians’ tourism behaviour during the Great Recession," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1109-1133, October.
    8. Chih-Hsing Sam Liu & Jun-You Lin & Sheng-Fang Chou, 2022. "Wielding a double-edged sword? JV investment geographic diversity and parent's innovation," Review of Managerial Science, Springer, vol. 16(6), pages 1783-1816, August.
    9. Lutz Bornmann & Robin Haunschild & Rüdiger Mutz, 2021. "Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-15, December.
    10. Amar Anwar & Ichiro Iwasaki, 2022. "Institutions and FDI from BRICS countries: a meta-analytic review," Empirical Economics, Springer, vol. 63(1), pages 417-468, July.
    11. Maniezzo, Vittorio & Boschetti, Marco A. & Gutjahr, Walter J., 2021. "Stochastic premarshalling of block stacking warehouses," Omega, Elsevier, vol. 102(C).
    12. Enrico Di Bella & Lucia Fontana & Lucia Leporatti & Marcello Montefiori & Paolo Petralia, 2016. "Analisi socio-economica degli accessi ripetuti al pronto soccorso pediatrico: il caso dell?Istituto G. Gaslini di Genova," STUDI ECONOMICI, FrancoAngeli Editore, vol. 2016(118-119-1), pages 312-327.
    13. Solymosi, Reka & Petcu, Oana & Wilkinson, Jack, 2020. "Exploring public engagement with missing person appeals on Twitter," SocArXiv wugxs, Center for Open Science.
    14. Aloys Prinz, 2016. "Do capitalistic institutions breed billionaires?," Empirical Economics, Springer, vol. 51(4), pages 1319-1332, December.
    15. Christophe Biernacki & Alexandre Lourme, 2019. "Unifying data units and models in (co-)clustering," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(1), pages 7-31, March.
    16. Roberto Impicciatore & Giuseppe Gabrielli & Anna Paterno, 2020. "Migrants’ Fertility in Italy: A Comparison Between Origin and Destination," European Journal of Population, Springer;European Association for Population Studies, vol. 36(4), pages 799-825, September.
    17. Geng, Xi & Xia, Aihua, 2022. "When is the Conway–Maxwell–Poisson distribution infinitely divisible?," Statistics & Probability Letters, Elsevier, vol. 181(C).
    18. Smith, David M. & Faddy, Malcolm J., 2016. "Mean and Variance Modeling of Under- and Overdispersed Count Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i06).
    19. Moritz Berger & Gerhard Tutz, 2021. "Transition models for count data: a flexible alternative to fixed distribution models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1259-1283, October.
    20. Carrie B. Myers & Scott M. Myers & Martha Peters, 2019. "The Longitudinal Connections Between Undergraduate High Impact Curriculum Practices and Civic Engagement in Adulthood," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(1), pages 83-110, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11640-:d:673187. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.