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Cost-effectiveness of open versus laparoscopic appendectomy: a multilevel approach with propensity score matching

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  • Laura Haas
  • Tom Stargardt
  • Jonas Schreyoegg

Abstract

Predicted costs for LA were 1,856 US$ lower than for OA while the postoperative complication rate did not differ significantly. Thus, LA is the treatment of choice from a provider’s perspective. Copyright Springer-Verlag 2012

Suggested Citation

  • Laura Haas & Tom Stargardt & Jonas Schreyoegg, 2012. "Cost-effectiveness of open versus laparoscopic appendectomy: a multilevel approach with propensity score matching," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 549-560, October.
    • Handle: RePEc:spr:eujhec:v:13:y:2012:i:5:p:549-560
    DOI: 10.1007/s10198-011-0355-6
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    References listed on IDEAS

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    1. Suthathip Yaisawarng & James F. Burgess, 2006. "Performance‐based budgeting in the public sector: an illustration from the VA health care system," Health Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 295-310, March.
    2. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    3. Jonas Schreyögg, 2008. "A micro‐costing approach to estimating hospital costs for appendectomy in a Cross‐European context," Health Economics, John Wiley & Sons, Ltd., vol. 17(S1), pages 59-69, January.
    4. Richard Grieve & Richard Nixon & Simon G. Thompson & John Cairns, 2007. "Multilevel models for estimating incremental net benefits in multinational studies," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 815-826, August.
    5. Greenland, S., 1989. "Modeling and variable selection in epidemiologic analysis," American Journal of Public Health, American Public Health Association, vol. 79(3), pages 340-349.
    6. Hauck, Katharina & Street, Andrew, 2006. "Performance assessment in the context of multiple objectives: A multivariate multilevel analysis," Journal of Health Economics, Elsevier, vol. 25(6), pages 1029-1048, November.
    7. Garber, Alan M. & Phelps, Charles E., 1997. "Economic foundations of cost-effectiveness analysis," Journal of Health Economics, Elsevier, vol. 16(1), pages 1-31, February.
    8. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    9. Jonas Schreyögg & Tom Stargardt & Oliver Tiemann, 2011. "Costs and quality of hospitals in different health care systems: a multi‐level approach with propensity score matching," Health Economics, John Wiley & Sons, Ltd., vol. 20(1), pages 85-100, January.
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    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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