IDEAS home Printed from https://ideas.repec.org/p/mpr/mprres/bc48b7926bac4afbb4b28c0dec7ae18d.html
   My bibliography  Save this paper

Recent Research Findings on Medicare+Choice

Author

Listed:
  • Cheryl Young

Abstract

Highlights key findings from recent journal articles and reports that contribute to a better understanding of the program in the following areas: 1) why plans withdraw and the effect on beneficiaries, 2) supplemental coverage trends, 3) beneficiary education, 4) plan selection and risk adjustment, and 5) effects of managed care on quality and health satisfaction.

Suggested Citation

  • Cheryl Young, "undated". "Recent Research Findings on Medicare+Choice," Mathematica Policy Research Reports bc48b7926bac4afbb4b28c0de, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:bc48b7926bac4afbb4b28c0dec7ae18d
    as

    Download full text from publisher

    File URL: https://www.mathematica.org/-/media/publications/pdfs/opinsights6.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:mpr:mprres:2742 is not listed on IDEAS
    2. repec:mpr:mprres:2755 is not listed on IDEAS
    3. repec:mpr:mprres:2890 is not listed on IDEAS
    4. repec:mpr:mprres:2889 is not listed on IDEAS
    5. Arlene Ash & Randall P. Ellis & Gregory Pope & John Ayanian & David Bates & Helen Burstin & Lisa Iezzoni & Elizabeth McKay & Wei Yu, 2000. "Using Diagnoses to Describe Populations and Predict Costs," Papers 0099, Boston University - Industry Studies Programme.
    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. Marsha Gold & John McCoy, "undated". "Medicare+Choice Withdrawals: Experiences in Major Metropolitan Areas," Mathematica Policy Research Reports ac034bd1959f46bc9cbfa3db7, Mathematica Policy Research.

    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. Eggli, Yves & Halfon, Patricia & Chikhi, Mehdi & Bandi, Till, 2006. "Ambulatory healthcare information system: A conceptual framework," Health Policy, Elsevier, vol. 78(1), pages 26-38, August.
    2. Jones, A.M, 2010. "Models For Health Care," Health, Econometrics and Data Group (HEDG) Working Papers 10/01, HEDG, c/o Department of Economics, University of York.
    3. Danny Wende, 2019. "Spatial risk adjustment between health insurances: using GWR in risk adjustment models to conserve incentives for service optimisation and reduce MAUP," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 1079-1091, September.
    4. Deborah Peikes & Stacy Dale & Eric Lundquist & Janice Genevro & David Meyers, 2011. "Building the Evidence Base for the Medical Home: What Sample and Sample Size Do Studies Need?," Mathematica Policy Research Reports 5814eb8219b24982af7f7536c, Mathematica Policy Research.
    5. Yujing Shen & Randall P. Ellis, 2002. "How profitable is risk selection? A comparison of four risk adjustment models," Health Economics, John Wiley & Sons, Ltd., vol. 11(2), pages 165-174, March.
    6. Domino, Marisa Elena & Huskamp, Haiden, 2005. "Does provider variation matter to health plans?," Journal of Health Economics, Elsevier, vol. 24(4), pages 795-813, July.
    7. Randall P. Ellis & Wenjia Zhu, 2016. "Health Plan Type Variations in Spells of Health-Care Treatment," American Journal of Health Economics, University of Chicago Press, vol. 2(4), pages 399-430, Fall.
    8. 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.
    9. Buchner, Florian & Goepffarth, Dirk & Wasem, Juergen, 2013. "The new risk adjustment formula in Germany: Implementation and first experiences," Health Policy, Elsevier, vol. 109(3), pages 253-262.
    10. Verónica Vargas & Juergen Wasem, 2005. "Risk Adjustment and Primary Health Care in Chile," ILADES-UAH Working Papers inv162, Universidad Alberto Hurtado/School of Economics and Business.
    11. Elissen, Arianne M.J. & Struijs, Jeroen N. & Baan, Caroline A. & Ruwaard, Dirk, 2015. "Estimating community health needs against a Triple Aim background: What can we learn from current predictive risk models?," Health Policy, Elsevier, vol. 119(5), pages 672-679.
    12. Randall P. Ellis & Ching‐to Albert Ma, 2011. "Health insurance, cost expectations, and adverse job turnover," Health Economics, John Wiley & Sons, Ltd., vol. 20(1), pages 27-44, January.
    13. Göpffarth Dirk, 2007. "Theorie und Praxis des Risikostrukturausgleichs / Risk Adjustment in Theory and Practice," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(5-6), pages 485-501, October.
    14. Göpffarth, Dirk, 2004. "Die Reform des Risikostrukturausgleichs: Eine Zwischenbilanz," Discussion Papers 2004/18, Technische Universität Berlin, School of Economics and Management.
    15. Xiao‐Hua Zhou & Huazhen Lin & Eric Johnson, 2008. "Non‐parametric heteroscedastic transformation regression models for skewed data with an application to health care costs," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(5), pages 1029-1047, November.
    16. Mary Charlson & Martin T Wells & Ralph Ullman & Fionnuala King & Celia Shmukler, 2014. "The Charlson Comorbidity Index Can Be Used Prospectively to Identify Patients Who Will Incur High Future Costs," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-16, December.
    17. Manuel García‐Goñi & Pere Ibern, 2008. "Predictability of drug expenditures: an application using morbidity data," Health Economics, John Wiley & Sons, Ltd., vol. 17(1), pages 119-126, January.
    18. Manuel García-Goñi & Pere Ibern, 2006. "Predictability of drug expenditures: An application using morbidity data," Working Papers, Research Center on Health and Economics 977, Department of Economics and Business, Universitat Pompeu Fabra.
    19. Timothy Layton & Alice K. Ndikumana & Mark Shepard, 2017. "Health Plan Payment in Medicaid Managed Care: A Hybrid Model of Regulated Competition," NBER Working Papers 23518, National Bureau of Economic Research, Inc.
    20. Randall P. Ellis & Marian Vidal-Fernadez, 2007. "Response: Activity-Based Payments and Reforms of the English Hospital Payment System," Boston University - Department of Economics - Working Papers Series WP2007-035, Boston University - Department of Economics.

    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:mpr:mprres:bc48b7926bac4afbb4b28c0dec7ae18d. 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: Joanne Pfleiderer or Cindy George (email available below). General contact details of provider: https://edirc.repec.org/data/mathius.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.