Which of the following indicates a low risk of false positive testing?

High specificity refers to the ability of a test to correctly identify those without the disease (true negatives). When a test has high specificity, it means that among those who do not have the condition, only a few will test positive. This leads to a low probability of false-positive results, as the test is reliable in ruling out those individuals who are healthy or free of the disease.

In practical terms, high specificity reduces the risk of incorrectly diagnosing a patient who does not actually have the disease in question. This is especially important in diagnostic testing, where a false positive can lead to unnecessary anxiety, further testing, or even overtreatment for the patient.

Affirming the capability of a test with high specificity is essential in clinical settings where a careful balance between sensitivity and specificity is necessary to improve both diagnostic accuracy and patient care.