Understanding test accuracy research: a test consequence graphic.

ABSTRACT:

Background

Presenting results of diagnostic test accuracy research so that it is accessible to users is challenging. Commonly used accuracy measures (e.g. sensitivity and specificity) are poorly understood by health professionals and the public. Evidence suggests that presenting probabilities as natural frequencies rather than percentages facilitates understanding. We present a test consequence graphic to display results based on natural frequencies and test consequences.

Methods

The graphic was developed as part of a project to develop guidance for writing plain language summaries for Cochrane diagnostic test accuracy (DTA) reviews. Using a mixed methods approach (focus groups, user testing, web-based surveys, public engagement and piloting), the graphic emerged as a clear

SUBMITTER: Whiting P 

PROVIDER: S-EPMC6460548 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature