A public health department is evaluating a newly developed screening test for a viral infection. The test has a sensitivity of 95% and a specificity of 90%. Initially, the test is deployed in Region A, where the prevalence of the viral infection is 20%. Six months later, the department expands testing to Region B, where the prevalence of the viral infection is only 2%. Assuming the test is performed exactly the same way in both regions, which of the following test parameters will be lower in Region B compared to Region A?
- Positive predictive valueAnswer
- BNegative predictive value
- CSensitivity
- DSpecificity
- EPositive likelihood ratio
Answer
Positive predictive value
The positive predictive value (PPV) is the probability that a patient with a positive test result truly has the disease. PPV is highly dependent on the prevalence of the disease in the tested population. In a population with low prevalence (like Region B at 2%), the absolute number of false-positive results will greatly outnumber the true-positive results. Consequently, the PPV will be significantly lower in Region B than in Region A.
Step-by-Step Solution
Key Concept
Positive predictive value (PPV) is directly proportional to disease prevalence in a population, whereas sensitivity, specificity, and likelihood ratios are intrinsic properties of the test that do not change with prevalence.
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