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A new test consequence graphic uses natural frequencies to clearly present diagnostic test accuracy results. This visual tool enhances understanding for health professionals and the public, improving research application.

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Area of Science:

  • Medical research communication
  • Health informatics
  • Evidence-based practice

Background:

  • Communicating diagnostic test accuracy research is challenging due to poor understanding of traditional measures like sensitivity and specificity.
  • Natural frequencies, rather than percentages, improve comprehension of probabilistic information.
  • A novel test consequence graphic is proposed to display diagnostic accuracy results.

Purpose of the Study:

  • To develop and evaluate a visual tool for presenting diagnostic test accuracy results.
  • To improve the accessibility and understanding of diagnostic research findings.
  • To guide the creation of plain language summaries for Cochrane diagnostic test accuracy reviews.

Main Methods:

  • A mixed-methods approach was employed, including focus groups, user testing, surveys, and public engagement.
  • The test consequence graphic was developed and refined based on user feedback.
  • Various presentation formats were compared, with the graphic showing a clear preference.

Main Results:

  • The test consequence graphic visualizes diagnostic test accuracy using natural frequencies for a hypothetical cohort of 1000 patients.
  • This format was preferred by patient representatives, media representatives, and health professionals over text-only or embedded numbers.

Conclusions:

  • The test consequence graphic offers a simple, accessible method for researchers to communicate diagnostic accuracy findings.
  • Linking test accuracy to potential consequences aids in the practical application of research.
  • This tool can enhance the meaningful use of diagnostic research in clinical practice.