IDEAS home Printed from https://ideas.repec.org/a/cup/hecopl/v15y2020i2p196-209_4.html
   My bibliography  Save this article

Opening the black box of diagnosis-related groups (DRGs): unpacking the technical remuneration structure of the Dutch DRG system

Author

Listed:
  • van Herwaarden, Sam
  • Wallenburg, Iris
  • Messelink, Joris
  • Bal, Roland

Abstract

While we know that upcoding of diagnosis-related groups (DRGs) regularly occurs, we have little knowledge of the role of the technical features of coding systems in inducing coding behaviour. This paper presents methods for investigating the financial structure of the Dutch DRG system, and more in particular the grouper software, to gain such insight. The paper describes a system for investigating the robustness of the reward structure, by simulating the response of the DRG system to small changes in individual coding. The results from these analyses are used to visualise some data on coding behaviour, and to investigate how this behaviour is affected by incentives in the technical features of the DRG system. A number of technical weaknesses in the system are also identified.

Suggested Citation

  • van Herwaarden, Sam & Wallenburg, Iris & Messelink, Joris & Bal, Roland, 2020. "Opening the black box of diagnosis-related groups (DRGs): unpacking the technical remuneration structure of the Dutch DRG system," Health Economics, Policy and Law, Cambridge University Press, vol. 15(2), pages 196-209, April.
    • Handle: RePEc:cup:hecopl:v:15:y:2020:i:2:p:196-209_4
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1744133118000324/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fiona Koster & Marc R. Kok & Jaco Kooij & Geeke Waverijn & Angelique E. A. M. Weel-Koenders & Deirisa Lopes Barreto, 2023. "Dealing with Time Estimates in Hospital Cost Accounting: Integrating Fuzzy Logic into Time-Driven Activity-Based Costing," PharmacoEconomics - Open, Springer, vol. 7(4), pages 593-603, July.

    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:cup:hecopl:v:15:y:2020:i:2:p:196-209_4. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/hep .

    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.