IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v31y2022i7p1339-1346.html
   My bibliography  Save this article

Effectiveness of hospital transfer payments under a prospective payment system: An analysis of a policy change in New Zealand

Author

Listed:
  • Christoph Schumacher

Abstract

Prospective payment systems reimburse hospitals based on diagnosis‐specific flat fees, which are generally based on average costs. While this encourages cost‐consciousness on the part of hospitals, it introduces undesirable incentives for patient transfers. Hospitals might feel encouraged to transfer patients if the expected treatment costs exceed the diagnosis‐related flat fee. A transfer fee would discourage such behavior and, therefore, could be welfare enhancing. In 2003, New Zealand introduced a fee to cover situations of patient transfers between hospitals. We investigate the effects of this fee by analyzing 4,020,796 healthcare events from 2000 to 2007 and find a significant reduction in overall transfers after the policy change. Looking at transfer types, we observe a relative reduction in transfers to non‐specialist hospitals but a relative increase in transfers to specialist facilities. It suggests that the policy change created a focusing effect that encourages public health care providers to transfer patients only when necessary to specialized providers and retain those patients they can treat. We also find no evidence that the transfer fee harmed the quality of care, measured by mortality, readmission and length of stay. The broader policy recommendation of this research is the introduction or reassessment of transfer payments to improve funding efficiency.

Suggested Citation

  • Christoph Schumacher, 2022. "Effectiveness of hospital transfer payments under a prospective payment system: An analysis of a policy change in New Zealand," Health Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 1339-1346, July.
  • Handle: RePEc:wly:hlthec:v:31:y:2022:i:7:p:1339-1346
    DOI: 10.1002/hec.4508
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.4508
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hec.4508?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Somi Shin & Christoph Schumacher & Eberhard Feess, 2017. "Do Capitation‐based Reimbursement Systems Underfund Tertiary Healthcare Providers? Evidence from New Zealand," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 81-102, December.
    2. Ellis, Randall P. & Ruhm, Christopher J., 1988. "Incentives to transfer patients under alternative reimbursement mechanisms," Journal of Public Economics, Elsevier, vol. 37(3), pages 381-394, December.
    Full references (including those not matched with items on IDEAS)

    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. Damien Échevin & Bernard Fortin, 2011. "Physician Payment Mechanisms, Hospital Length of Stay and Risk of Readmission: a Natural Experiment," CIRANO Working Papers 2011s-44, CIRANO.
    2. Échevin, Damien & Fortin, Bernard, 2014. "Physician payment mechanisms, hospital length of stay and risk of readmission: Evidence from a natural experiment," Journal of Health Economics, Elsevier, vol. 36(C), pages 112-124.
    3. Sylvia Brandt & Peter Marie, 2011. "Racial Disparities in Hospital Length of Stay for Asthma: Implications for Economic Policies," Journal of Family and Economic Issues, Springer, vol. 32(1), pages 152-169, March.
    4. Gabriel Picone & R. Mark Wilson & Shin‐Yi Chou, 2003. "Analysis of hospital length of stay and discharge destination using hazard functions with unmeasured heterogeneity," Health Economics, John Wiley & Sons, Ltd., vol. 12(12), pages 1021-1034, December.
    5. Mohnen Sigrid M. & Rotteveel Adriënne H. & Doornbos Gerda & Polder Johan J., 2020. "Healthcare Expenditure Prediction with Neighbourhood Variables – A Random Forest Model," Statistics, Politics and Policy, De Gruyter, vol. 11(2), pages 111-138, December.

    More about this item

    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:wly:hlthec:v:31:y:2022:i:7:p:1339-1346. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    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.