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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.

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  • 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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    as
    1. Federico Revelli, 2001. "Spatial patterns in local taxation: tax mimicking or error mimicking?," Applied Economics, Taylor & Francis Journals, vol. 33(9), pages 1101-1107.
    2. Federico Revelli, 2002. "Testing the taxmimicking versus expenditure spill-over hypotheses using English data," Applied Economics, Taylor & Francis Journals, vol. 34(14), pages 1723-1731.
    3. Phelps, Charles E., 2000. "Information diffusion and best practice adoption," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 5, pages 223-264, Elsevier.
    4. Moscone, Francesco & Knapp, Martin & Tosetti, Elisa, 2007. "Mental health expenditure in England: A spatial panel approach," Journal of Health Economics, Elsevier, vol. 26(4), pages 842-864, July.
    5. Joines, Jerry D. & Hertz-Picciotto, Irva & Carey, Timothy S. & Gesler, Wilbert & Suchindran, Chirayath, 2003. "A spatial analysis of county-level variation in hospitalization rates for low back problems in North Carolina," Social Science & Medicine, Elsevier, vol. 56(12), pages 2541-2553, June.
    6. Di Matteo, Livio, 2000. "The determinants of the public-private mix in Canadian health care expenditures: 1975-1996," Health Policy, Elsevier, vol. 52(2), pages 87-112, June.
    7. Joseph P. Newhouse, 1977. "Medical-Care Expenditure: A Cross-National Survey," Journal of Human Resources, University of Wisconsin Press, vol. 12(1), pages 115-125.
    8. Di Matteo, Livio, 2005. "The macro determinants of health expenditure in the United States and Canada: assessing the impact of income, age distribution and time," Health Policy, Elsevier, vol. 71(1), pages 23-42, January.
    9. Joan Costa‐Font & Jordi Pons‐Novell, 2007. "Public health expenditure and spatial interactions in a decentralized national health system," Health Economics, John Wiley & Sons, Ltd., vol. 16(3), pages 291-306, March.
    10. Wennberg, John E. & Barnes, Benjamin A. & Zubkoff, Michael, 1982. "Professional uncertainty and the problem of supplier-induced demand," Social Science & Medicine, Elsevier, vol. 16(7), pages 811-824, January.
    11. Phelps, Charles E., 1995. "Welfare loss from variations: further considerations," Journal of Health Economics, Elsevier, vol. 14(2), pages 253-260, June.
    12. Margherita Giannoni & Theodore Hitiris, 2002. "The regional impact of health care expenditure: the case of Italy," Applied Economics, Taylor & Francis Journals, vol. 34(14), pages 1829-1836.
    13. Groenewegen, Peter P., 1991. "Substitution of primary care and specialist care: A regional analysis in Denmark," Social Science & Medicine, Elsevier, vol. 33(4), pages 471-476, January.
    14. Mooney, Cathleen & Zwanziger, Jack & Phibbs, Ciaran S. & Schmitt, Susan, 2000. "Is travel distance a barrier to veterans' use of VA hospitals for medical surgical care?," Social Science & Medicine, Elsevier, vol. 50(12), pages 1743-1755, June.
    15. Joseph P. Newhouse, 1992. "Medical Care Costs: How Much Welfare Loss?," Journal of Economic Perspectives, American Economic Association, vol. 6(3), pages 3-21, Summer.
    16. Kjeld Møller Pedersen & Terkel Christiansen & Mickael Bech, 2005. "The Danish health care system: evolution ‐ not revolution ‐ in a decentralized system," Health Economics, John Wiley & Sons, Ltd., vol. 14(S1), pages 41-57, September.
    17. Case, Anne C. & Rosen, Harvey S. & Hines, James Jr., 1993. "Budget spillovers and fiscal policy interdependence : Evidence from the states," Journal of Public Economics, Elsevier, vol. 52(3), pages 285-307, October.
    18. Di Matteo, Livio & Di Matteo, Rosanna, 1998. "Evidence on the determinants of Canadian provincial government health expenditures: 1965-1991," Journal of Health Economics, Elsevier, vol. 17(2), pages 211-228, April.
    19. Joan Costa-Font & Ana Rico, 2006. "Devolution and the Interregional Inequalities in Health and Healthcare in Spain," Regional Studies, Taylor & Francis Journals, vol. 40(8), pages 875-887.
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    3. 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.
    4. 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).
    5. 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.
    6. Arnab Bhattacharjee & Taps Maiti & Dennis Petrie, 2014. "Spatial structures of health outcomes and health behaviours in Scotland: Evidence from the Scottish Health Survey," SEEC Discussion Papers 1401, Spatial Economics and Econometrics Centre, Heriot Watt University.
    7. 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.
    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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