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Glossary

  • Sensitivity: the proportion of people with disease who have a positive test result
  • Specificity: the proportion of people without disease who have a negative test resultĀ 
  • Reference standard: the presence or absence of disease determined by approved methods
  • False positive: a positive test result in a patient without disease
  • False negative result: a negative test result in a patient with disease

Resources

Title/link Description
Positive and Negative Predictive Value of Diagnostic Tests. This RLO explains how diagnostic test accuracy is described by the terms sensitivity and specificity. Sensitivity describes the accuracy of the test in detecting disease. Specificity describes the accuracy of the test in detecting health.

Books and Journals

Egger M, Davey Smith G, Phillips AN. (1997) Meta-analysis: Principles and Procedures.BMJ;315:1533-1537.

Sensitivity and Specificity - Print summary

This RLO covers the use of sensitivity and specificity in diagnostic tests.

Learning outcomes

By completing this resource you should be able to explain sensitivity and specificity including:

  • Diagnostic tests
  • False positives and negatives
  • Assessing test accuracy

By completing this resource you should be able to explain sensitivity and specificity, including:

  • Diagnostic tests
  • False positives and negatives
  • Assessing test accuracy

This resource was developed by:

Elaine Bentley - content author

Caroline Burton, Liz Hilton - developers

The resource was originally funded by RLO-CETL.

CETL

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