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Cost-effectiveness of bariatric surgical procedures for the treatment of severe obesity

Author

Listed:
  • Bruce Wang
  • Edwin Wong
  • Rafael Alfonso-Cristancho
  • Hao He
  • David Flum
  • David Arterburn
  • Louis Garrison
  • Sean Sullivan

Abstract

Bariatric surgery produced additional life expectancy (80–81 years) compared to no surgery (78 years). The incremental cost-effectiveness ratios (ICERs) of the surgical procedures were US $6,600 per quality-adjusted life expectancy (QALY) gained for LRYGB, US $6,200 for LAGB, and US $17,300 for ORYGB (3 % discount rate for cost and QALYs). ICERs varied according to choice of BMI forecasting method and clinically plausible variation in parameter estimates. In most scenarios, the ICER did not exceed a threshold of US $50,000 per QALY gained. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Bruce Wang & Edwin Wong & Rafael Alfonso-Cristancho & Hao He & David Flum & David Arterburn & Louis Garrison & Sean Sullivan, 2014. "Cost-effectiveness of bariatric surgical procedures for the treatment of severe obesity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(3), pages 253-263, April.
  • Handle: RePEc:spr:eujhec:v:15:y:2014:i:3:p:253-263
    DOI: 10.1007/s10198-013-0472-5
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    References listed on IDEAS

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    1. John Mullahy, 1998. "Much Ado About Two: Reconsidering Retransformation and the Two-Part Model in Health Economics," NBER Technical Working Papers 0228, National Bureau of Economic Research, Inc.
    2. Duan, Naihua, et al, 1983. "A Comparison of Alternative Models for the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 115-126, April.
    3. Pierre Lévy & Martin Fried & Ferruccio Santini & Nick Finer, 2007. "The Comparative Effects of Bariatric Surgery on Weight and Type 2 Diabetes," Post-Print hal-01293732, HAL.
    4. Mullahy, John, 1998. "Much ado about two: reconsidering retransformation and the two-part model in health econometrics," Journal of Health Economics, Elsevier, vol. 17(3), pages 247-281, June.
    5. repec:dau:papers:123456789/1548 is not listed on IDEAS
    6. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
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    More about this item

    Keywords

    Obesity; Bariatric surgery; Cost-effectiveness; QALY; I10; D61; D81;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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