Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Appropriate use of diagnostics is important as misdiagnosis may have serious consequences. Confidence in a diagnostic test result depends on the test's accuracy (sensitivity and specificity) in the context of the use-case (who is tested and why) and the prevalence of the condition being investigated. Here, we offer an approach to diagnostics that focusses on the risks and effects of making the wrong diagnosis. We propose 'fitness brackets' for a given test to define the range within which the test is fit-for-purpose, based on the use-case and risk-management principles. We use as exemplars tests for dengue pre-vaccination screening and tests for diagnosing covid-19 in different settings.

Original publication

DOI

10.1016/j.ijid.2021.04.004

Type

Journal article

Journal

Int J Infect Dis

Publication Date

09/04/2021

Keywords

Covid-19, Dengue, diagnostics, misdiagnosis