IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/24038.html
   My bibliography  Save this paper

Service-level Selection: Strategic Risk Selection in Medicare Advantage in Response to Risk Adjustment

Author

Listed:
  • Sungchul Park
  • Anirban Basu
  • Norma Coe
  • Fahad Khalil

Abstract

The Centers for Medicare and Medicaid Services (CMS) has phased in the Hierarchical Condition Categories (HCC) risk adjustment model during 2004-2006 to more accurately estimate capitated payments to Medicare Advantage (MA) plans to reflect each beneficiary’s health status. However, it is debatable whether the CMS-HCC model has led to strategic evolutions of risk selection. We examine the competing claims and analyze the risk selection behavior of MA plans in response to the CMS-HCC model. We find that the CMS-HCC model reduced the phenomenon that MA plans avoid high-cost beneficiaries in traditional Medicare plans, whereas it led to increased disenrollment of high-cost beneficiaries, conditional on illness severity, from MA plans. We explain this phenomenon in relation to service-level selection. First, we show that MA plans have incentives to effectuate risk selection via service-level selection, by lowering coverage levels for services that are more likely to be used by beneficiaries who could be unprofitable under the CMS-HCC model. Then, we empirically test our theoretical prediction that compared to the pre-implementation period (2001-2003), MA plans have raised copayments disproportionately more for services needed by unprofitable beneficiaries than for other services in the post-implementation period (2007-2009). This induced unprofitable beneficiaries to voluntarily dis-enroll from their MA plans. Further evidence supporting this selection mechanism is that those dissatisfied with out-of-pocket costs were more likely to dis-enroll from MA plans. We estimate that such strategic behavior led MA plans to save $5.2 billion by transferring the costs to the federal government.

Suggested Citation

  • Sungchul Park & Anirban Basu & Norma Coe & Fahad Khalil, 2017. "Service-level Selection: Strategic Risk Selection in Medicare Advantage in Response to Risk Adjustment," NBER Working Papers 24038, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24038
    Note: EH PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w24038.pdf
    Download Restriction: no
    ---><---

    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. Thomas G. McGuire & Jacob Glazer, 2000. "Optimal Risk Adjustment in Markets with Adverse Selection: An Application to Managed Care," American Economic Review, American Economic Association, vol. 90(4), pages 1055-1071, September.
    3. Frank, Richard G. & Glazer, Jacob & McGuire, Thomas G., 2000. "Measuring adverse selection in managed health care," Journal of Health Economics, Elsevier, vol. 19(6), pages 829-854, November.
    4. Joseph P. Newhouse & Mary Price & John Hsu & J. Michael McWilliams & Thomas G. McGuire, 2015. "How Much Favorable Selection Is Left in Medicare Advantage?," American Journal of Health Economics, University of Chicago Press, vol. 1(1), pages 1-26, Winter.
    5. Office of Health Economics, 2007. "The Economics of Health Care," For School 001490, Office of Health Economics.
    6. Cao, Zhun & McGuire, Thomas G., 2003. "Service-level selection by HMOs in Medicare," Journal of Health Economics, Elsevier, vol. 22(6), pages 915-931, November.
    7. Manning, Willard G, et al, 1987. "Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment," American Economic Review, American Economic Association, vol. 77(3), pages 251-277, June.
    8. Ellis, Randall P. & McGuire, Thomas G., 2007. "Predictability and predictiveness in health care spending," Journal of Health Economics, Elsevier, vol. 26(1), pages 25-48, January.
    9. Newhouse, Joseph P. & McWilliams, J. Michael & Price, Mary & Huang, Jie & Fireman, Bruce & Hsu, John, 2013. "Do Medicare Advantage plans select enrollees in higher margin clinical categories?," Journal of Health Economics, Elsevier, vol. 32(6), pages 1278-1288.
    10. Van de ven, Wynand P.M.M. & Ellis, Randall P., 2000. "Risk adjustment in competitive health plan markets," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 14, pages 755-845, Elsevier.
    11. McGuire, Thomas G. & Newhouse, Joseph P. & Normand, Sharon-Lise & Shi, Julie & Zuvekas, Samuel, 2014. "Assessing incentives for service-level selection in private health insurance exchanges," Journal of Health Economics, Elsevier, vol. 35(C), pages 47-63.
    12. Randall P. Ellis & Shenyi Jiang & Tzu-Chun Kuo, 2013. "Does service-level spending show evidence of selection across health plan types?," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1701-1712, May.
    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. Sungchul Park & Anirban Basu, 2018. "Alternative evaluation metrics for risk adjustment methods," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 984-1010, June.

    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. Timothy J. Layton & Randall P. Ellis & Thomas G. McGuire, 2015. "Assessing Incentives for Adverse Selection in Health Plan Payment Systems," NBER Working Papers 21531, National Bureau of Economic Research, Inc.
    2. Mark Shepard, 2016. "Hospital Network Competition and Adverse Selection: Evidence from the Massachusetts Health Insurance Exchange," NBER Working Papers 22600, National Bureau of Economic Research, Inc.
    3. Michele Fioretti & Hongming Wang, 2020. "Performance Pay in Insurance Markets: Evidence from Medicare," Working Papers 2020.03, International Network for Economic Research - INFER.
    4. Randall P. Ellis & Juan Gabriel Fernandez, 2013. "Risk Selection, Risk Adjustment and Choice: Concepts and Lessons from the Americas," IJERPH, MDPI, vol. 10(11), pages 1-34, October.
    5. Normann Lorenz, 2014. "The interaction of direct and indirect risk selection," Research Papers in Economics 2014-12, University of Trier, Department of Economics.
    6. repec:hal:wpspec:info:hdl:2441/2ioennpq5m90holakkatq7cmms is not listed on IDEAS
    7. Richard van Kleef & Thomas McGuire & Rene van Vliet & Wynand van de Ven, 2015. "Improving Risk Equalization with Constrained Regression," NBER Working Papers 21570, National Bureau of Economic Research, Inc.
    8. Sungchul Park & Anirban Basu, 2018. "Alternative evaluation metrics for risk adjustment methods," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 984-1010, June.
    9. Normann Lorenz, 2014. "Using quantile regression for optimal risk adjustment," Research Papers in Economics 2014-11, University of Trier, Department of Economics.
    10. A. A. Withagen-Koster & R. C. Kleef & F. Eijkenaar, 2020. "Incorporating self-reported health measures in risk equalization through constrained regression," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(4), pages 513-528, June.
    11. Lorenz, Normann, 2015. "The interaction of direct and indirect risk selection," Journal of Health Economics, Elsevier, vol. 42(C), pages 81-89.
    12. repec:hal:spmain:info:hdl:2441/2ioennpq5m90holakkatq7cmms is not listed on IDEAS
    13. Wynand P. M. M. Ven & René C. J. A. Vliet & Richard C. Kleef, 2017. "How can the regulator show evidence of (no) risk selection in health insurance markets? Conceptual framework and empirical evidence," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(2), pages 167-180, March.
    14. McGuire, Thomas G. & Newhouse, Joseph P. & Normand, Sharon-Lise & Shi, Julie & Zuvekas, Samuel, 2014. "Assessing incentives for service-level selection in private health insurance exchanges," Journal of Health Economics, Elsevier, vol. 35(C), pages 47-63.
    15. Richard C. Kleef & Thomas G. McGuire & René C. J. A. Vliet & Wynand P. P. M. de Ven, 2017. "Improving risk equalization with constrained regression," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(9), pages 1137-1156, December.
    16. Randall P. Ellis & Shenyi Jiang & Tzu-Chun Kuo, 2013. "Does service-level spending show evidence of selection across health plan types?," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1701-1712, May.
    17. Geruso, Michael & McGuire, Thomas G., 2016. "Tradeoffs in the design of health plan payment systems: Fit, power and balance," Journal of Health Economics, Elsevier, vol. 47(C), pages 1-19.
    18. Normann Lorenz, 2013. "Adverse selection and risk adjustment under imperfect competition," Research Papers in Economics 2013-05, University of Trier, Department of Economics.
    19. A. A. Withagen-Koster & R. C. Kleef & F. Eijkenaar, 2018. "Examining unpriced risk heterogeneity in the Dutch health insurance market," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(9), pages 1351-1363, December.
    20. Glazer, Jacob & McGuire, Thomas G. & Cao, Zhun & Zaslavsky, Alan, 2008. "Using global ratings of health plans to improve the quality of health care," Journal of Health Economics, Elsevier, vol. 27(5), pages 1182-1195, September.
    21. Randall P. Ellis & Pooja G. Mookim, 2013. "K-Fold Cross-Validation is Superior to Split Sample Validation for Risk Adjustment Models," Boston University - Department of Economics - Working Papers Series wp2013-026, Boston University - Department of Economics.
    22. Shuli Brammli-Greenberg & Jacob Glazer & Ruth Waitzberg, 2019. "Modest risk-sharing significantly reduces health plans’ incentives for service distortion," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(9), pages 1359-1374, December.

    More about this item

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • 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:24038. 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.