IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/22873.html
   My bibliography  Save this paper

How do Hospitals Respond to Payment Incentives?

Author

Listed:
  • Gautam Gowrisankaran
  • Keith A. Joiner
  • Jianjing Lin

Abstract

A recent literature finds that hospitals “upcode” when doing so increases revenues, suggesting that incomplete information creates substantial distortions. However, reporting complete information is itself costly. We examine the impact of both revenues and coding costs on hospital billing practices for Medicare inpatients. Following the literature, we investigate the fraction of patients top coded as the revenues from top coding vary. We then examine how this fraction changes following Medicare reforms—which increased the requirements and complexity to justify top codes—interacted with hospital electronic medical record adoption—which may decrease coding costs. We find evidence that coding costs drive top coding behavior.

Suggested Citation

  • Gautam Gowrisankaran & Keith A. Joiner & Jianjing Lin, 2016. "How do Hospitals Respond to Payment Incentives?," NBER Working Papers 22873, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22873
    Note: EH IO
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w22873.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jason Brown & Mark Duggan & Ilyana Kuziemko & William Woolston, 2014. "How Does Risk Selection Respond to Risk Adjustment? New Evidence from the Medicare Advantage Program," American Economic Review, American Economic Association, vol. 104(10), pages 3335-3364, October.
    2. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    3. Thompson, Samuel B., 2011. "Simple formulas for standard errors that cluster by both firm and time," Journal of Financial Economics, Elsevier, vol. 99(1), pages 1-10, January.
    4. Leemore S. Dafny, 2005. "How Do Hospitals Respond to Price Changes?," American Economic Review, American Economic Association, vol. 95(5), pages 1525-1547, December.
    5. David Dranove & Chris Forman & Avi Goldfarb & Shane Greenstein, 2014. "The Trillion Dollar Conundrum: Complementarities and Health Information Technology," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 239-270, November.
    6. Sacarny, Adam, 2018. "Adoption and learning across hospitals: The case of a revenue-generating practice," Journal of Health Economics, Elsevier, vol. 60(C), pages 142-164.
    7. Jinhyung Lee & Jeffrey S. McCullough & Robert J. Town, 2013. "The impact of health information technology on hospital productivity," RAND Journal of Economics, RAND Corporation, vol. 44(3), pages 545-568, September.
    8. Jeffrey Clemens & Joshua D. Gottlieb, 2017. "In the Shadow of a Giant: Medicare’s Influence on Private Physician Payments," Journal of Political Economy, University of Chicago Press, vol. 125(1), pages 1-39.
    9. Jeffrey Clemens & Joshua D. Gottlieb, 2014. "Do Physicians' Financial Incentives Affect Medical Treatment and Patient Health?," American Economic Review, American Economic Association, vol. 104(4), pages 1320-1349, April.
    10. Amalia R. Miller & Catherine Tucker, 2009. "Privacy Protection and Technology Diffusion: The Case of Electronic Medical Records," Management Science, INFORMS, vol. 55(7), pages 1077-1093, July.
    11. Agha, Leila, 2014. "The effects of health information technology on the costs and quality of medical care," Journal of Health Economics, Elsevier, vol. 34(C), pages 19-30.
    12. Seth Freedman & Haizhen Lin & Jeffrey Prince, 2018. "Information Technology and Patient Health: Analyzing Outcomes, Populations, and Mechanisms," American Journal of Health Economics, MIT Press, vol. 4(1), pages 51-79, Winter.
    13. Gowrisankaran, Gautam & Lucarelli, Claudio & Schmidt-Dengler, Philipp & Town, Robert, 2018. "Can amputation save the hospital? The impact of the Medicare Rural Flexibility Program on demand and welfare," Journal of Health Economics, Elsevier, vol. 58(C), pages 110-122.
    14. Or., Zeynep, 2014. "Implementation of DRG Payment in France: Issues and recent developments," Health Policy, Elsevier, vol. 117(2), pages 146-150.
    15. Jeffrey S. McCullough & Stephen T. Parente & Robert Town, 2016. "Health information technology and patient outcomes: the role of information and labor coordination," RAND Journal of Economics, RAND Corporation, vol. 47(1), pages 207-236, February.
    16. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    17. Amalia R. Miller & Catherine E. Tucker, 2011. "Can Health Care Information Technology Save Babies?," Journal of Political Economy, University of Chicago Press, vol. 119(2), pages 289-324.
    18. Silverman, Elaine & Skinner, Jonathan, 2004. "Medicare upcoding and hospital ownership," Journal of Health Economics, Elsevier, vol. 23(2), pages 369-389, March.
    19. Abe Dunn & Joshua D. Gottlieb & Adam Hale Shapiro & Pietro Tebaldi, 2020. "The Costs of Payment Uncertainty in Healthcare Markets," Working Paper Series 2020-13, Federal Reserve Bank of San Francisco.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abe Dunn & Joshua D. Gottlieb & Adam Shapiro & Daniel J. Sonnenstuhl & Pietro Tebaldi, 2021. "A Denial a Day Keeps the Doctor Away," NBER Working Papers 29010, National Bureau of Economic Research, Inc.
    2. Yaping Wu & David Bardey & Yijuan Chen & Sanxi Li, 2021. "Health care insurance policies When the provider and patient may collude," Health Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 525-543, March.
    3. Cook, Amanda & Averett, Susan, 2020. "Do hospitals respond to changing incentive structures? Evidence from Medicare’s 2007 DRG restructuring," Journal of Health Economics, Elsevier, vol. 73(C).

    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. Ari Bronsoler & Joseph Doyle & John Van Reenen, 2021. "The impact of healthcare IT on clinical quality, productivity and workers," CEP Discussion Papers dp1801, Centre for Economic Performance, LSE.
    2. Kartik K. Ganju & Hilal Atasoy & Paul A. Pavlou, 2022. "Do Electronic Health Record Systems Increase Medicare Reimbursements? The Moderating Effect of the Recovery Audit Program," Management Science, INFORMS, vol. 68(4), pages 2889-2913, April.
    3. Böckerman, Petri & Kortelainen, Mika & Laine, Liisa T. & Nurminen, Mikko & Saxell, Tanja, 2019. "Digital Waste? Unintended Consequences of Health Information Technology," IZA Discussion Papers 12275, Institute of Labor Economics (IZA).
    4. Abhay Nath Mishra & Youyou Tao & Mark Keil & Jeong-ha (Cath) Oh, 2022. "Functional IT Complementarity and Hospital Performance in the United States: A Longitudinal Investigation," Information Systems Research, INFORMS, vol. 33(1), pages 55-75, March.
    5. Dranove, David & Garthwaite, Craig & Li, Bingyang & Ody, Christopher, 2015. "Investment subsidies and the adoption of electronic medical records in hospitals," Journal of Health Economics, Elsevier, vol. 44(C), pages 309-319.
    6. Brad N. Greenwood & Kartik K. Ganju & Corey M. Angst, 2019. "How Does the Implementation of Enterprise Information Systems Affect a Professional’s Mobility? An Empirical Study," Information Systems Research, INFORMS, vol. 30(2), pages 563-594, June.
    7. Seth Freedman & Noah Hammarlund, 2019. "Electronic medical records and medical procedure choice: Evidence from cesarean sections," Health Economics, John Wiley & Sons, Ltd., vol. 28(10), pages 1179-1193, October.
    8. Hilal Atasoy & Pei-yu Chen & Kartik Ganju, 2018. "The Spillover Effects of Health IT Investments on Regional Healthcare Costs," Management Science, INFORMS, vol. 64(6), pages 2515-2534, June.
    9. Yu-Kai Lin & Mingfeng Lin & Hsinchun Chen, 2019. "Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act," Service Science, INFORMS, vol. 30(1), pages 306-318, March.
    10. David Dranove & Chris Forman & Avi Goldfarb & Shane Greenstein, 2014. "The Trillion Dollar Conundrum: Complementarities and Health Information Technology," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 239-270, November.
    11. Jeffrey S. McCullough & Stephen T. Parente & Robert Town, 2013. "Health Information Technology and Patient Outcomes: The Role of Organizational and Informational Complementarities," NBER Working Papers 18684, National Bureau of Economic Research, Inc.
    12. Martin Gaynor & Kate Ho & Robert J. Town, 2015. "The Industrial Organization of Health-Care Markets," Journal of Economic Literature, American Economic Association, vol. 53(2), pages 235-284, June.
    13. Muhammad Zia Hydari & Rahul Telang & William M. Marella, 2019. "Saving Patient Ryan—Can Advanced Electronic Medical Records Make Patient Care Safer?," Management Science, INFORMS, vol. 67(5), pages 2041-2059, May.
    14. Amalia R. Miller & Catherine Tucker, 2017. "Frontiers of Health Policy: Digital Data and Personalized Medicine," Innovation Policy and the Economy, University of Chicago Press, vol. 17(1), pages 49-75.
    15. Han, Dan, 2023. "The impact of the 340B Drug Pricing Program on Critical Access Hospitals: Evidence from Medicare Part B," Journal of Health Economics, Elsevier, vol. 89(C).
    16. Susan F. Lu & Huaxia Rui & Abraham Seidmann, 2018. "Does Technology Substitute for Nurses? Staffing Decisions in Nursing Homes," Management Science, INFORMS, vol. 64(4), pages 1842-1859, April.
    17. Sacarny, Adam, 2018. "Adoption and learning across hospitals: The case of a revenue-generating practice," Journal of Health Economics, Elsevier, vol. 60(C), pages 142-164.
    18. Lucy Xiaolu Wang, 2021. "The complementarity of drug monitoring programs and health IT for reducing opioid‐related mortality and morbidity," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2026-2046, September.
    19. Michael Geruso & Timothy Layton, 2020. "Upcoding: Evidence from Medicare on Squishy Risk Adjustment," Journal of Political Economy, University of Chicago Press, vol. 128(3), pages 984-1026.
    20. Buczak-Stec, Elżbieta & Goryński, Paweł & Nitsch-Osuch, Aneta & Kanecki, Krzysztof & Tyszko, Piotr, 2017. "The impact of introducing a new hospital financing system (DRGs) in Poland on hospitalisations for atherosclerosis: An interrupted time series analysis (2004–2012)," Health Policy, Elsevier, vol. 121(11), pages 1186-1193.

    More about this item

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:22873. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.