IDEAS home Printed from https://ideas.repec.org/p/col/000089/021041.html
   My bibliography  Save this paper

The Health Technology Assessment Approach of The Economic Value of Diagnostic Test: A Literature Review

Author

Listed:
  • Bardey, David

    (Universidad de los Andes)

  • De Donder , Philippe

    (TSE - CNRS)

  • Zaporozhets , Vera

    (TSE - INRAe)

Abstract

We review the medico-economic literature assessing the economic value of diagnostic tests. We first present the health technology assessment methods, as applied to generic health interventions. We then define our object of study, diagnostic and prognostic tests, and relate them to various definitions of personalized medicine. We then review the empirical assessments of diagnostic tests related to personalized medicine and of companion tests. We summarize systematic reviews which are not performing quantitative meta-analyses, but rather provide a descriptive synthesis of the results reviewed. We find no evidence that such tests perform better than more traditional approaches, such as pharmaceutical interventions. At the same time, there is a lot of heterogeneity in the cost per QALY (Quality-Adjusted Life Year) gained, so that some genetic testing procedures may perform better than non-genetic ones. Finally, we focus on imperfect tests and show how to optimize, from an economic perspective, their accuracy levels, and how to take accuracy levels into considerations when assessing their economic value.

Suggested Citation

  • Bardey, David & De Donder , Philippe & Zaporozhets , Vera, 2024. "The Health Technology Assessment Approach of The Economic Value of Diagnostic Test: A Literature Review," Documentos CEDE 21041, Universidad de los Andes, Facultad de Economía, CEDE.
  • Handle: RePEc:col:000089:021041
    as

    Download full text from publisher

    File URL: https://repositorio.uniandes.edu.co/bitstreams/handle/1992/74009/dcede2024-06.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    genetic tests; companion tests; cost-benefit analysis (CBA); cost-effectiveness analysis (CEA); cost-utility analysis (CUA); and cost-minimization analysis (CMA); personalized medicine; Receiver-Operator (ROC) curve; Incremental cost-effectiveness ration (ICER).;
    All these keywords.

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:col:000089:021041. 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: Universidad De Los Andes-Cede (email available below). General contact details of provider: https://edirc.repec.org/data/ceandco.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.