North American Veterinary Licensing Examination (NAVLE) Practice Test

Disable ads (and more) with a membership for a one time $2.99 payment

Prepare for the NAVLE Test. Study with flashcards and multiple choice questions, with hints and explanations for each question. Get ready for your examination!

Each practice test/flash card set has 50 randomly selected questions from a bank of over 500. You'll get a new set of questions each time!

Practice this question and more.

In the context of diagnostic tests, what does a high negative predictive value (NPV) indicate?

A high probability of false positives
A high probability of true negatives
Low prevalence of disease in the tested population
A low sensitivity of the test

The correct answer is: A high probability of true negatives

A high negative predictive value (NPV) indicates a high probability of true negatives in the context of diagnostic tests. NPV reflects the proportion of individuals who test negative and do not have the disease. When NPV is high, it means that a significant number of the individuals who received a negative test result are truly free of the condition, suggesting that the test is reliable at ruling out the disease. High NPV is influenced by several factors, including the sensitivity of the test and the prevalence of the disease in the population being tested. When the prevalence of the disease is low, even tests with moderate sensitivity can yield high NPV, as the likelihood of encountering true negatives increases. Therefore, in scenarios where the test result is negative, a high NPV provides confidence to healthcare providers that the disease is unlikely present in those individuals. Understanding the implication of a high NPV is critical for clinicians when making decisions based on diagnostic testing, as it strengthens the reliability of negative results in guiding patient management decisions.