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Exploring the spatial pattern in hospital admissions

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  • Bech, Mickael
  • Lauridsen, Jørgen

Abstract

The determinants for the number of inpatient hospital admissions across Danish municipalities are analysed using balanced panel data from the period 1998-2004. The determinants include socio-demographic variables, home help service, residential homes capacity, proxy variables for morbidity, utilisation of primary care services, accessibility of hospitals and a number of other factors. Panel effects in the form of intra-municipal correlation and heterogeneity across years are controlled for. Spatial spillover effects across municipalities will be investigated in order to disclose the spatial dynamics of hospital admissions. Reverse causalities among the number of hospital admissions and certain health systems characteristics are further controlled for. The results are shown to be highly sensitive to such adjustments, as the effects of determinants - including those over which the municipalities exert some control - are seriously overestimated if such features are ignored.

Suggested Citation

  • Bech, Mickael & Lauridsen, Jørgen, 2008. "Exploring the spatial pattern in hospital admissions," Health Policy, Elsevier, vol. 87(1), pages 50-62, July.
    • Handle: RePEc:eee:hepoli:v:87:y:2008:i:1:p:50-62
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    2. Helmut Herwartz & Christoph Strumann, 2014. "Hospital efficiency under prospective reimbursement schemes: an empirical assessment for the case of Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(2), pages 175-186, March.
    3. 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.
    4. Christoph Pross & Christoph Strumann & Alexander Geissler & Helmut Herwartz & Nadja Klein, 2018. "Quality and resource efficiency in hospital service provision: A geoadditive stochastic frontier analysis of stroke quality of care in Germany," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-30, September.
    5. Matteo Lippi Bruni & Irene Mammi, 2017. "Spatial effects in hospital expenditures: A district level analysis," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 63-77, September.
    6. Wang, Shaobin, 2020. "Spatial patterns and social-economic influential factors of population aging: A global assessment from 1990 to 2010," Social Science & Medicine, Elsevier, vol. 253(C).
    7. Francesco Longo & Luigi Siciliani & Hugh Gravelle & Rita Santos, 2017. "Do hospitals respond to rivals' quality and efficiency? A spatial panel econometric analysis," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 38-62, September.
    8. Bhattacharjee, Arnab & Maiti, Taps & Petrie, Dennis, 2014. "General equilibrium effects of spatial structure: Health outcomes and health behaviours in Scotland," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 286-297.

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