IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/21050.html
   My bibliography  Save this paper

Uncovering Waste in U.S. Healthcare

Author

Listed:
  • Joseph Doyle
  • John Graves
  • Jonathan Gruber

Abstract

There is widespread agreement that the US healthcare system wastes as much as 5% of GDP, yet little consensus on what care is actually unproductive. This partly arises because of the endogeneity of patient choice of treatment location. This paper uses the effective random assignment of patients to ambulance companies to generate comparisons across similar patients treated at different hospitals. We find that assignment to hospitals whose patients receive large amounts of care over the three months following a health emergency do not have meaningfully better survival outcomes compared to hospitals whose patients receive less. Outcomes are related to different types of treatment intensity, however: patients assigned to hospitals with high levels of inpatient spending are more likely to survive to one year, while those assigned to hospitals with high levels of outpatient spending are less likely to do so. This adverse effect of outpatient spending is predominately driven by spending at skilled nursing facilities (SNF) following hospitalization. These results offer a new type of quality measure for hospitals based on utilization of SNFs. We find that patients quasi-randomized to hospitals with high rates of SNF discharge have poorer outcomes, as well as higher downstream spending once conditioning on initial hospital spending.

Suggested Citation

  • Joseph Doyle & John Graves & Jonathan Gruber, 2015. "Uncovering Waste in U.S. Healthcare," NBER Working Papers 21050, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:21050
    Note: AG EH PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w21050.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    2. Joseph J. Doyle Jr. & John A. Graves & Jonathan Gruber & Samuel A. Kleiner, 2015. "Measuring Returns to Hospital Care: Evidence from Ambulance Referral Patterns," Journal of Political Economy, University of Chicago Press, vol. 123(1), pages 170-214.
    3. Amitabh Chandra & Amy Finkelstein & Adam Sacarny & Chad Syverson, 2013. "Healthcare Exceptionalism? Productivity and Allocation in the U.S. Healthcare Sector," NBER Working Papers 19200, National Bureau of Economic Research, Inc.
    4. Amitabh Chandra & Douglas O. Staiger, 2007. "Productivity Spillovers in Health Care: Evidence from the Treatment of Heart Attacks," Journal of Political Economy, University of Chicago Press, vol. 115(1), pages 103-140.
    5. Amitabh Chandra & Jonathan S. Skinner, 2011. "Technology Growth and Expenditure Growth in Health Care," NBER Working Papers 16953, National Bureau of Economic Research, Inc.
    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. Iizuka, Toshiaki & Nishiyama, Katsuhiko & Chen, Brian & Eggleston, Karen, 2021. "False alarm? Estimating the marginal value of health signals," Journal of Public Economics, Elsevier, vol. 195(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. Joseph Doyle & John Graves & Jonathan Gruber, 2019. "Evaluating Measures of Hospital Quality: Evidence from Ambulance Referral Patterns," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 841-852, December.
    2. Amitabh Chandra & Amy Finkelstein & Adam Sacarny & Chad Syverson, 2016. "Health Care Exceptionalism? Performance and Allocation in the US Health Care Sector," American Economic Review, American Economic Association, vol. 106(8), pages 2110-2144, August.
    3. Joseph J. Doyle, Jr., 2007. "Returns to Local-Area Health Care Spending: Using Health Shocks to Patients Far From Home," NBER Working Papers 13301, National Bureau of Economic Research, Inc.
    4. Kleiner, Samuel A., 2019. "Hospital treatment and patient outcomes: Evidence from capacity constraints," Journal of Public Economics, Elsevier, vol. 175(C), pages 94-118.
    5. David Card & Alessandra Fenizia & David Silver, 2019. "The Health Impacts of Hospital Delivery Practices," NBER Working Papers 25986, National Bureau of Economic Research, Inc.
    6. Amitabh Chandra & Douglas O Staiger, 2020. "Identifying Sources of Inefficiency in Healthcare [“The Determinants of Productivity in Medical Testing: Intensity and Allocation of Care,”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 785-843.
    7. Katherine Baicker & Amitabh Chandra, 2011. "Aspirin, angioplasty and proton beam therapy: the economics of smarter health-care spending," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 197-235.
    8. Joseph J. Doyle Jr. & John A. Graves & Jonathan Gruber & Samuel A. Kleiner, 2015. "Measuring Returns to Hospital Care: Evidence from Ambulance Referral Patterns," Journal of Political Economy, University of Chicago Press, vol. 123(1), pages 170-214.
    9. Amitabh Chandra & Maurice Dalton & Douglas O. Staiger, 2023. "Are Hospital Quality Indicators Causal?," NBER Working Papers 31789, National Bureau of Economic Research, Inc.
    10. André Madeira & Victor Moutinho & José Alberto Fuinhas, 2021. "Does waiting times decrease or increase operational costs in short and long-term? Evidence from Portuguese public hospitals," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(8), pages 1195-1216, November.
    11. 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.
    12. Ketcham, Jonathan & Kuminoff, Nicolai & Saha, Nirman, 2023. "Valuing Statistical Life Using Seniors' Medical Spending," RFF Working Paper Series 23-16, Resources for the Future.
    13. Bäuml, Matthias & Dette, Tilman & Pollmann, Michael, 2022. "Price and income effects of hospital reimbursements," Journal of Health Economics, Elsevier, vol. 81(C).
    14. Joseph J. Doyle, Jr. & John A. Graves & Jonathan Gruber & Samuel Kleiner, 2012. "Do High-Cost Hospitals Deliver Better Care? Evidence from Ambulance Referral Patterns," NBER Working Papers 17936, National Bureau of Economic Research, Inc.
    15. Elena Lucchese, 2020. "It could be worse...it could be raining: Ambulance response time and health outcomes," Working Papers 429, University of Milano-Bicocca, Department of Economics, revised Feb 2020.
    16. Avdic, Daniel & Ivets, Maryna & Lagerqvist, Bo & Sriubaite, Ieva, 2023. "Providers, peers and patients. How do physicians’ practice environments affect patient outcomes?," Journal of Health Economics, Elsevier, vol. 89(C).
    17. Moscone, Francesco & Skinner, Jonathan & Tosetti, Elisa & Yasaitis, Laura, 2019. "The association between medical care utilization and health outcomes: A spatial analysis," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 306-314.
    18. Amitabh Chandra & Carrie H. Colla & Jonathan S. Skinner, 2023. "Productivity Variation and Input Misallocation: Evidence from Hospitals," NBER Working Papers 31569, National Bureau of Economic Research, Inc.
    19. Hillebrand, Eric & Schnabl, Gunther & Ulu, Yasemin, 2009. "Japanese foreign exchange intervention and the yen-to-dollar exchange rate: A simultaneous equations approach using realized volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 490-505, July.
    20. Cho, Seo-young & Vadlamannati, Krishna Chaitanya, 2010. "Compliance for big brothers: An empirical analysis on the impact of the anti-trafficking protocol," University of Göttingen Working Papers in Economics 118, University of Goettingen, Department of Economics.

    More about this item

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:21050. 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.