IDEAS home Printed from https://ideas.repec.org/p/zbw/rwirep/306842.html
   My bibliography  Save this paper

Information signal and medical diagnosis: Audit study evidence from Georgia

Author

Listed:
  • Hartwig, Renate
  • Japaridze, Dimitri
  • Khetsuriani, Nana
  • Vollmer, Sebastian

Abstract

Evidence on how digital technologies, such as online health information platforms, affect the doctorpatient relationship in general, and the diagnosis and treatment of patients in particular, is still limited. In this study, we explore the effects of alternative information from an online source on the diagnosis and treatment behavior of doctors in Tbilisi, Georgia. We use data from standardized patient visits and assess quality of care on the basis of case management of diabetes type II - a disease which is on the rise in Georgia. We find that doctors do not respond to the information signal and that case management is unaffected by the information provided. This finding holds across a number of dimensions of clinical case management, including the number of symptoms checked, the number of clinical tests performed, the time spent with the patient and the costs charged for consultations and medical tests.

Suggested Citation

  • Hartwig, Renate & Japaridze, Dimitri & Khetsuriani, Nana & Vollmer, Sebastian, 2024. "Information signal and medical diagnosis: Audit study evidence from Georgia," Ruhr Economic Papers 1112, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:306842
    DOI: 10.4419/96973290
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/306842/1/1909407011.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.4419/96973290?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
    ---><---

    More about this item

    Keywords

    Health care; standardized patient; diabetes;
    All these keywords.

    JEL classification:

    • H42 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Private Goods
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    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:zbw:rwirep:306842. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/rwiesde.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.