IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v13y2012i5p549-560.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10198-011-0355-6
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Jason J. Sauppe & Sheldon H. Jacobson, 2017. "The role of covariate balance in observational studies," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(4), pages 323-344, June.
    3. Verena Lauber & Johanna Storck, 2016. "Helping with the Kids? How Family-Friendly Workplaces Affect Parental Well-Being and Behavior," Discussion Papers of DIW Berlin 1630, DIW Berlin, German Institute for Economic Research.
    4. Simone Bertoli & Francesca Marchetta, 2014. "Migration, Remittances and Poverty in Ecuador," Journal of Development Studies, Taylor & Francis Journals, vol. 50(8), pages 1067-1089, August.
    5. Hamilton, Timothy L. & Wichman, Casey J., 2018. "Bicycle infrastructure and traffic congestion: Evidence from DC's Capital Bikeshare," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 72-93.
    6. Oliver Tiemann & Jonas Schreyögg, 2012. "Changes in hospital efficiency after privatization," Health Care Management Science, Springer, vol. 15(4), pages 310-326, December.
    7. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    8. Timothy Tyler Brown & Juan Pablo Atal, 2019. "How robust are reference pricing studies on outpatient medical procedures? Three different preprocessing techniques applied to difference‐in differences," Health Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 280-298, February.
    9. Sarah Alkenbrack & Magnus Lindelow, 2015. "The Impact of Community‐Based Health Insurance on Utilization and Out‐of‐Pocket Expenditures in Lao People's Democratic Republic," Health Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 379-399, April.
    10. Wichman, Casey J. & Ferraro, Paul J., 2017. "A cautionary tale on using panel data estimators to measure program impacts," Economics Letters, Elsevier, vol. 151(C), pages 82-90.
    11. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    12. Verena Lauber & Johanna Storck, 2016. "Helping with the Kids? How Family-Friendly Workplaces Affect Parental Well-Being and Behavior," SOEPpapers on Multidisciplinary Panel Data Research 883, DIW Berlin, The German Socio-Economic Panel (SOEP).
    13. Mohebalian, Phillip M. & Aguilar, Francisco X., 2018. "Beneath the Canopy: Tropical Forests Enrolled in Conservation Payments Reveal Evidence of Less Degradation," Ecological Economics, Elsevier, vol. 143(C), pages 64-73.
    14. Tom Stargardt & Jonas Schreyögg & Ivan Kondofersky, 2014. "Measuring The Relationship Between Costs And Outcomes: The Example Of Acute Myocardial Infarction In German Hospitals," Health Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 653-669, June.
    15. Jung, Suhyun & Polasky, Stephen, 2018. "Partnerships to prevent deforestation in the Amazon," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 498-516.
    16. Michael Lechner & Anthony Strittmatter, 2019. "Practical procedures to deal with common support problems in matching estimation," Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 193-207, February.
    17. Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2020. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany's programmes for long term unemployed," Labour Economics, Elsevier, vol. 65(C).
    18. Huang, Wei & Li, Fan & Liao, Xiaowei & Hu, Pingping, 2018. "More money, better performance? The effects of student loans and need-based grants in China's higher education," China Economic Review, Elsevier, vol. 51(C), pages 208-227.
    19. Barbopoulos, Leonidas G. & Adra, Samer, 2016. "The earnout structure matters: Takeover premia and acquirer gains in earnout financed M&As," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 283-294.
    20. Kirchweger, Stefan & Eder, Michael & Kantelhardt, Jochen, 2015. "Modelling the effects of low-input dairy farming using bookkeeping data from Austria," 2015 Conference, August 9-14, 2015, Milan, Italy 212005, International Association of Agricultural Economists.

    More about this item

    Keywords

    Cost-effectiveness; Laparoscopic appendectomy; Veterans health administration; Administrative data; Propensity score matching; I19; E17; C2;

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:eujhec:v:13:y:2012:i:5:p:549-560. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Springer Nature Abstracting and Indexing). General contact details of provider: http://www.springer.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.