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Life Science Dictionary

Sensitivity

Epidemiology · Medicine

Say it: sen-sih-TIV-ih-tee

Sensitivity is the proportion of people who truly have a condition whom a diagnostic or screening test correctly identifies as positive.

Also: true positive rate

Definition

What is sensitivity?

In medicine and epidemiology, sensitivity describes how well a test detects a condition in people who really have it. It is calculated by dividing the number of true positives (affected people who test positive) by everyone who actually has the condition, that is, the true positives plus the false negatives. A test with 90 percent sensitivity picks up 90 of every 100 affected people and misses 10, who receive a false-negative result.

Sensitivity is judged against a reference standard, the best available way of confirming who has the disease. It often trades off against specificity: lowering the cutoff for calling a result positive catches more true cases but also flags more healthy people. A highly sensitive test is valuable for screening and for ruling a disease out, summed up in the mnemonic SnNout: when sensitivity is high, a negative result helps rule the condition out. Sensitivity does not tell a patient how likely a positive result is to be correct; that is the positive predictive value, which depends strongly on how common the condition is.

Outside test evaluation, the word is used more loosely for how strongly a person reacts to a drug, chemical or sunlight.

Word parts

Where does the word “sensitivity” come from?

sens-
sense, feelingLatin sensus

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