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Regional Variation In The Utilisation Of Ambulatory Services In Germany

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  • Thomas Kopetsch
  • Hendrik Schmitz

Abstract

We used an administrative dataset covering approximately 90% of all Germans to investigate the determinants of regional differences in the utilisation of ambulatory services in the year 2008. There are great regional differences in Germany, in GP, specialist and psychotherapist consultations. By means of a regression model taking account of the spatial dependencies of the error terms, we can explain a considerable part of the variation in terms of differences in demography, health status and socio‐economic features. In addition, we made use of data on pollutants, the supply of services and the number of hospital cases as explanatory variables, which all have a significant influence on utilisation but contribute considerably less to explaining the differences. Overall, we are in a position to explain 29–40% of the regional differences in ambulatory case numbers at the level of the 413 counties and 55–70% at the level of the 16 German states (Länder) by observable differences. Copyright © 2013 John Wiley & Sons, Ltd.

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  • Thomas Kopetsch & Hendrik Schmitz, 2014. "Regional Variation In The Utilisation Of Ambulatory Services In Germany," Health Economics, John Wiley & Sons, Ltd., vol. 23(12), pages 1481-1492, December.
    • Handle: RePEc:wly:hlthec:v:23:y:2014:i:12:p:1481-1492
    DOI: 10.1002/hec.3001
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    Cited by:

    1. Salm, Martin & Wübker, Ansgar, 2020. "Sources of regional variation in healthcare utilization in Germany," Journal of Health Economics, Elsevier, vol. 69(C).
    2. Salm, Martin & Wübker, Ansgar, 2017. "Causes of regional variation in healthcare utilization in Germany," Ruhr Economic Papers 675, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Tugba Büyükdurmus & Thomas Kopetsch & Hendrik Schmitz & Harald Tauchmann, 2017. "On the interdependence of ambulatory and hospital care in the German health system," Health Economics Review, Springer, vol. 7(1), pages 1-19, December.
    4. Eibich, Peter & Ziebarth, Nicolas, 2014. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 49, pages 305-320.
    5. Avdic, Daniel & Ivets, Maryna & Lagerqvist, Bo & Sriubaite, Ieva, 2023. "Providers, peers and patients. How do physicians’ practice environments affect patient outcomes?," Journal of Health Economics, Elsevier, vol. 89(C).
    6. Potrafke, Niklas & Roesel, Felix, 2020. "The urban–rural gap in healthcare infrastructure: does government ideology matter?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 54(3), pages 340-351.
    7. Mingming Xu & Benjamin Bittschi, 2022. "Does the abolition of copayment increase ambulatory care utilization?: a quasi-experimental study in Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(8), pages 1319-1328, November.
    8. Kuhn, Michael & Ochsen, Carsten, 2019. "Population change and the regional distribution of physicians," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    9. Wende, Danny & Kopetsch, Thomas & Richter, Wolfram F., 2020. "Planning health care capacities with a gravity equation," Ruhr Economic Papers 888, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Krämer, Jonas & Schreyögg, Jonas, 2019. "Substituting emergency services: primary care vs. hospital care," Health Policy, Elsevier, vol. 123(11), pages 1053-1060.
    11. Wende, Danny & Kopetsch, Thomas & Richter, Wolfram F., 2021. "A Demand-Oriented Approach to Health Care Capacity Planning," IZA Discussion Papers 14860, Institute of Labor Economics (IZA).
    12. Alexander Karmann & Felix Roesel, 2017. "Hospital Policy and Productivity – Evidence from German States," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1548-1565, December.
    13. Dirk Göpffarth & Thomas Kopetsch & Hendrik Schmitz, 2016. "Determinants of Regional Variation in Health Expenditures in Germany," Health Economics, John Wiley & Sons, Ltd., vol. 25(7), pages 801-815, July.
    14. Herwartz, Helmut & Schley, Katharina, 2018. "Improving health care service provision by adapting to regional diversity: An efficiency analysis for the case of Germany," Health Policy, Elsevier, vol. 122(3), pages 293-300.
    15. José‐Luis Fernandez & Julien Forder, 2015. "Local Variability in Long‐Term Care Services: Local Autonomy, Exogenous Influences and Policy Spillovers," Health Economics, John Wiley & Sons, Ltd., vol. 24(S1), pages 146-157, March.
    16. Cavazza, Marianna & Vecchio, Mario Del & Fattore, Giovanni & Fenech, Lorenzo, 2023. "Geographical variation in the use of private health insurance in a predominantly publicly-funded system," Health Policy, Elsevier, vol. 130(C).
    17. Rouven Edgar Haschka & Katharina Schley & Helmut Herwartz, 2020. "Provision of health care services and regional diversity in Germany: insights from a Bayesian health frontier analysis with spatial dependencies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(1), pages 55-71, February.
    18. Siegel, Martin & Koller, Daniela & Vogt, Verena & Sundmacher, Leonie, 2016. "Developing a composite index of spatial accessibility across different health care sectors: A German example," Health Policy, Elsevier, vol. 120(2), pages 205-212.

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