IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v52y2020i33p3555-3573.html
   My bibliography  Save this article

An empirical investigation on the economic impact of shared patient information among doctors

Author

Listed:
  • Dain Jung
  • Do Won Kwak
  • Hye-Jin Kim
  • Minki Kim

Abstract

This study investigates how an increase in patient information sharing among doctors impacts healthcare costs. To this end, we explore this impact through two mechanisms – the informative role of patient health conditions and the cross-monitoring role against doctor-driven induced healthcare demands. We utilize a unique policy intervention (a drug utilization review) introduced in 2009 in Korea that enables doctors to share outpatients’ prescription histories. Using difference-in-differences, we found that, when patient information is improved, there is a reduction in pharmaceutical spending. This result is especially true for those patients who have relatively weak information-sharing capabilities. Using data on the amount of antibiotics prescribed for the common cold, we find that a cross-monitoring of prescriptions among doctors reduces the amount of unnecessary prescriptions and thus healthcare spending.

Suggested Citation

  • Dain Jung & Do Won Kwak & Hye-Jin Kim & Minki Kim, 2020. "An empirical investigation on the economic impact of shared patient information among doctors," Applied Economics, Taylor & Francis Journals, vol. 52(33), pages 3555-3573, June.
  • Handle: RePEc:taf:applec:v:52:y:2020:i:33:p:3555-3573
    DOI: 10.1080/00036846.2020.1713984
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2020.1713984
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2020.1713984?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:applec:v:52:y:2020:i:33:p:3555-3573. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.