IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

A multilevel modelling approach to analysis of patient costs under managed care

  • Kathleen Carey
Registered author(s):

    The growth of the managed care model of health care delivery in the USA has led to broadened interest in the performance of health care providers. This paper uses multilevel modelling to analyse the effects of managed care penetration on patient level costs for a sample of 24 medical centres operated by the Veterans Health Administration (VHA). The appropriateness of a two level approach to this problem over ordinary least squares (OLS) is demonstrated. Results indicate a modicum of difference in institutions' performance after controlling for patient effects. Facilities more heavily penetrated by the managed care model may be more effective at controlling costs of their sicker patients. Copyright © 2000 John Wiley & Sons, Ltd.

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below under "Related research" whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

    Volume (Year): 9 (2000)
    Issue (Month): 5 ()
    Pages: 435-446

    as
    in new window

    Handle: RePEc:wly:hlthec:v:9:y:2000:i:5:p:435-446
    Contact details of provider: Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Richard Blundell & Frank Windmeijer, 1997. "Cluster effects and simultaneity in multilevel models," IFS Working Papers W97/05, Institute for Fiscal Studies.
    2. Jones, Andrew M., 2000. "Health econometrics," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 6, pages 265-344 Elsevier.
    3. Zuckerman, Stephen & Hadley, Jack & Iezzoni, Lisa, 1994. "Measuring hospital efficiency with frontier cost functions," Journal of Health Economics, Elsevier, vol. 13(3), pages 255-280, October.
    4. Newhouse, Joseph P., 1994. "Frontier estimation: How useful a tool for health economics?," Journal of Health Economics, Elsevier, vol. 13(3), pages 317-322, October.
    5. Vitaliano, Donald F. & Toren, Mark, 1994. "Cost and efficiency in nursing homes: a stochastic frontier approach," Journal of Health Economics, Elsevier, vol. 13(3), pages 281-300, October.
    6. Nigel Rice & Andrew Jones, 1997. "Multilevel models and health economics," Health Economics, John Wiley & Sons, Ltd., vol. 6(6), pages 561-575.
    7. Miika Linna, 1998. "Measuring hospital cost efficiency with panel data models," Health Economics, John Wiley & Sons, Ltd., vol. 7(5), pages 415-427.
    8. Burgess Jr., James F. & Christiansen, Cindy L. & Michalak, Sarah E. & Morris, Carl N., 2000. "Medical profiling: improving standards and risk adjustments using hierarchical models," Journal of Health Economics, Elsevier, vol. 19(3), pages 291-309, May.
    9. Dor, Avi, 1994. "Non-minimum cost functions and the stochastic frontier: On applications to health care providers," Journal of Health Economics, Elsevier, vol. 13(3), pages 329-334, October.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:9:y:2000:i:5:p:435-446. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing)

    or (Christopher F. Baum)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.