<prompt> Please answer with one of the option in the bracket. Write reasoning in between . Write answer in between .Q:A 36-year-old female presents to clinic inquiring about the meaning of a previous negative test result from a new HIV screening test. The efficacy of this new screening test for HIV has been assessed by comparison against existing gold standard detection of HIV RNA via PCR. The study includes 1000 patients, with 850 HIV-negative patients by PCR receiving a negative test result, 30 HIV-negative patients receiving a positive test result, 100 HIV positive patients receiving a positive test result, and 20 HIV positive patients receiving a negative test result. Which of the following is most likely to increase the negative predictive value for this test?? A: Increased prevalence of HIV in the tested population, B: Decreased prevalence of HIV in the tested population, C: Increased number of false positive test results, D: Increased number of false negative test results, E: Decreased number of false positive test results,  <response>: This is a question about understanding negative predictive value NPV of a diagnostic test. NPV tells us the probability that subjects with a negative test truly dont have the disease. It is calculated using the formula: NPV True Negatives True Negatives False Negatives. The question provides information about the performance of a new HIV screening test compared to the gold standard PCR test. From the data, we can calculate:True Negatives 850 False Negatives 20To increase the NPV, we need to increase the number of True Negatives or decrease the number of False Negatives.B: Decreased prevalence of HIV in the tested population 