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Comparing hospital costs: What is gained by accounting for more than a case-mix index?

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  • Hvenegaard, Anne
  • Street, Andrew
  • Sørensen, Torben Højmark
  • Gyrd-Hansen, Dorte

Abstract

We explore what effect controlling for various patient characteristics beyond a case-mix index (DRG) has on inferences drawn about the relative cost performance of hospital departments. We estimate fixed effect cost models in which 3754 patients are clustered within six Danish vascular departments. We compare a basic model including a DRG index only with models also including age and gender, health related characteristics, such as smoking status, diabetes, and American Society of Anesthesiogists score (ASA-score), and socioeconomic characteristics such as income, employment and whether the patient lives alone. We find that the DRG index is a robust and important explanatory factor and adding other routinely collected characteristics such as age and gender and other health related or socioeconomic characteristics do not seem to alter the results significantly. The results are more sensitive to choice of functional form, i.e. in particular to whether costs are log transformed. Our results suggest that the routinely collected characteristics such as DRG index, age and gender are sufficient when drawing inferences about relative cost performance. Adding health related or socioeconomic patient characteristics only slightly improves our model in terms of explanatory power but not when drawing inferences about relative performance. The results are, however, sensitive to whether costs are log transformed.

Suggested Citation

  • Hvenegaard, Anne & Street, Andrew & Sørensen, Torben Højmark & Gyrd-Hansen, Dorte, 2009. "Comparing hospital costs: What is gained by accounting for more than a case-mix index?," Social Science & Medicine, Elsevier, vol. 69(4), pages 640-647, August.
  • Handle: RePEc:eee:socmed:v:69:y:2009:i:4:p:640-647
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    References listed on IDEAS

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    1. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    2. Anni Ankjær-Jensen & Pernille Rosling & Lone Bilde, 2006. "Variable prospective financing in the Danish hospital sector and the development of a Danish case-mix system," Health Care Management Science, Springer, vol. 9(3), pages 259-268, August.
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    2. Gyrd-Hansen, Dorte & Olsen, Kim R. & Sørensen, Torben H., 2012. "Socio-demographic patient profiles and hospital efficiency: Does patient mix affect a hospital's ability to perform?," Health Policy, Elsevier, vol. 104(2), pages 136-145.
    3. Laudicella, Mauro & Olsen, Kim Rose & Street, Andrew, 2010. "Examining cost variation across hospital departments-a two-stage multi-level approach using patient-level data," Social Science & Medicine, Elsevier, vol. 71(10), pages 1872-1881, November.
    4. Kollerup, Anna & Wadmann, Sarah & Bek, Toke & Kjellberg, Jakob, 2022. "National clinical guidelines and treatment centralization do not guarantee consistency in healthcare delivery. A mixed-methods study of wet age-related macular degeneration treatment in Denmark," Health Policy, Elsevier, vol. 126(12), pages 1291-1302.
    5. Siok Tan & Leona Hakkaart-van Roijen & B. Ineveld & W. Redekop, 2013. "Explaining length of stay variation of episodes of care in the Netherlands," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(6), pages 919-927, December.
    6. Troels Kristensen & Peter Bogetoft & Kjeld Pedersen, 2010. "Potential gains from hospital mergers in Denmark," Health Care Management Science, Springer, vol. 13(4), pages 334-345, December.
    7. Sverre A. C. Kittelsen & Kjartan S. Anthun & Fanny Goude & Ingrid M. S. Huitfeldt & Unto Häkkinen & Marie Kruse & Emma Medin & Clas Rehnberg & Hanna Rättö & on behalf of the EuroHOPE study group, 2015. "Costs and Quality at the Hospital Level in the Nordic Countries," Health Economics, John Wiley & Sons, Ltd., vol. 24(S2), pages 140-163, December.
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