A patient without a history of hypertension undergoes a screening test for high blood pressure. The test correctly identifies 90% of individuals without hypertension. Which of the followings term best describes the probability of a negative test result when the disease is absent?

**D) Specificity**

Specificity is the probability of a negative test result when the disease is absent. It is defined as true negatives/(true negatives + false positives). In this case, specificity represents the ability of the test to correctly identify individuals without hypertension.

**Answer choice A:** Negative predictive value, is incorrect. Negative predictive value is the probability that a negative test result truly indicates the absence of the disease. It is calculated as true negatives/(true negatives + false negatives).

**Answer choice B:** Positive predictive value, is incorrect. Positive predictive value is the probability that a positive test result truly indicates the presence of the disease. It is calculated as true positives/(true positives + false positives).

**Answer choice C:** Sensitivity, is incorrect. Sensitivity is the probability of a positive test result when the disease is present. It is defined as true positives/(true positives + false negatives).

**Answer choice E:** True positive rate, is incorrect. True positive rate is synonymous with sensitivity. It represents the proportion of true positives among all individuals with the disease.

###### Key Learning Point

Specificity is the probability of a negative test result when the disease is absent. It is defined as true negatives/(true negatives + false positives). Specificity is a crucial measure for evaluating the ability of a diagnostic test to correctly identify individuals without the disease.