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First Do No Harm. Then Do Not Cheat: DRG Upcoding in German Neonatology

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  • Hendrik Jürges
  • Juliane Köberlein

Abstract

Since 2003 German hospitals are reimbursed according to diagnosis related groups (DRGs). Patient classification in neonatology is based inter alia on birth weight, with substantial discontinuities in reimbursement at eight different thresholds. These discontinuities create strong incentives to upcode preterm infants into classes of lower birth weight. Using data from the German birth statistics 1996 to 2010 and German hospital data from 2006 to 2011, we estimate that since the introduction of DRGs, hospitals have upcoded at least 12,000 preterm infants and gained additional reimbursement in excess of 100 million Euro. The scale of upcoding in German neonatology enables us to study the anatomy of cheating in a profession that otherwise claims to have high ethical standards. We show that upcoding is not only positively linked with the strength of financial incentives but also with expected treatment costs measured by poor newborn health conditional on weight. This suggests that doctors and midwives do not indiscriminately upcode any potential preterm infant as a rational model of crime would predict. Rather, they may find it easier to cheat when this helps aligning the lump-sum reimbursement with the expected actual treatment costs.

Suggested Citation

  • Hendrik Jürges & Juliane Köberlein, 2013. "First Do No Harm. Then Do Not Cheat: DRG Upcoding in German Neonatology," Discussion Papers of DIW Berlin 1314, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp1314
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    References listed on IDEAS

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    1. Shigeoka, Hitoshi & Fushimi, Kiyohide, 2014. "Supplier-induced demand for newborn treatment: Evidence from Japan," Journal of Health Economics, Elsevier, vol. 35(C), pages 162-178.
    2. Douglas Almond & Joseph J. Doyle & Amanda E. Kowalski & Heidi Williams, 2010. "Estimating Marginal Returns to Medical Care: Evidence from At-risk Newborns," The Quarterly Journal of Economics, Oxford University Press, vol. 125(2), pages 591-634.
    3. Alan I. Barreca & Melanie Guldi & Jason M. Lindo & Glen R. Waddell, 2011. "Saving Babies? Revisiting the effect of very low birth weight classification," The Quarterly Journal of Economics, Oxford University Press, vol. 126(4), pages 2117-2123.
    4. Randall P. Ellis & Thomas G. McGuire, 1993. "Supply-Side and Demand-Side Cost Sharing in Health Care," Journal of Economic Perspectives, American Economic Association, vol. 7(4), pages 135-151, Fall.
    5. Sloan, Frank A. & Picone, Gabriel A. & TaylorJr., Donald H. & Chou, Shin-Yi, 2001. "Hospital ownership and cost and quality of care: is there a dime's worth of difference?," Journal of Health Economics, Elsevier, vol. 20(1), pages 1-21, January.
    6. Silverman, Elaine & Skinner, Jonathan, 2004. "Medicare upcoding and hospital ownership," Journal of Health Economics, Elsevier, vol. 23(2), pages 369-389, March.
    7. Victor R. Fuchs, 1978. "The Supply of Surgeons and the Demand for Operations," NBER Working Papers 0236, National Bureau of Economic Research, Inc.
    8. Seth Freedman, 2016. "Capacity and Utilization in Health Care: The Effect of Empty Beds on Neonatal Intensive Care Admission," American Economic Journal: Economic Policy, American Economic Association, vol. 8(2), pages 154-185, May.
    9. Matthias Vogl, 2012. "Assessing DRG cost accounting with respect to resource allocation and tariff calculation: the case of Germany," Health Economics Review, Springer, vol. 2(1), pages 1-12, December.
    10. Mark Duggan, 2002. "Hospital Market Structure and the Behavior of Not-For-Profit Hospitals," RAND Journal of Economics, The RAND Corporation, vol. 33(3), pages 433-446, Autumn.
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    More about this item

    Keywords

    Neonatal care; DRG upcoding;

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • D20 - Microeconomics - - Production and Organizations - - - General

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