Term: Negative Predictive Value (NPV)

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Glossary Definition

Last Updated: 2006-10-20

Definition:

The negative predictive value of a test is the probability that the patient will not have the disease/condition when restricted to all patients/subjects who test negative. You can compute the negative predictive value as NPV = TN / (TN + FN) where TN and FN are the number of true negative and false negative results, respectively. Notice that the denominator for negative predictive value is the number of patients/subjects who test negative.

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References 

  • Lix L, Yogendran M, Burchill C, Metge C, McKeen N, Moore D, Bond R. Defining and Validating Chronic Diseases: An Administrative Data Approach. Winnipeg, MB: Manitoba Centre for Health Policy, 2006. [Summary] [Full Report] (View)

Term used in 

  • Brownell M, Santos R, Kozyrskyj A, Roos N, Au W, Dik N, Chartier M, Girard D, Ekuma O, Sirski M, Tonn N, Schultz J. Next Steps in the Provincial Evaluation of the BabyFirst Program: Measuring Early Impacts on Outcomes Associated with Child Maltreatment. Winnipeg, MB: Manitoba Centre for Health Policy, 2007. [Summary] [Full Report] (View)
  • Finlayson G, Ekuma O, Yogendran M, Burland E, Forget E. The Additional Cost of Chronic Disease in Manitoba. Winnipeg, MB: Manitoba Centre for Health Policy, 2010. [Summary] [Full Report] (View)
  • Garland A, Fransoo R, Olafson K, Ramsey C, Yogendran M, Chateau D, McGowan K. The Epidemiology and Outcomes of Critical Illness in Manitoba. Winnipeg, MB: Manitoba Centre for Health Policy, 2012. [Summary] [Full Report] (View)