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At-home tests generally perform well

- Keith Roach, M.D. Readers may email questions to: ToYourGood­Health@med .cornell.edu or mail questions to 628 Virginia Dr., Orlando, FL 32803.

Dear Dr. Roach: How reliable are home COVID-19 tests? I’ve read one article that said that if you tested negative you could be certain that you did not have COVID-19, but if you tested positive there was a significan­t chance of a false positive. Another article said exactly the opposite. What are the facts?

A.L.

Answer: There are two primary measures of tests: the sensitivit­y and the specificit­y. Sensitivit­y is the probabilit­y that a given test will detect the condition, if it’s there. For at-home COVID-19 tests, the sensitivit­y has been reported to be between 79% and 95%. However, how the sample is collected can affect the sensitivit­y, and the realworld performanc­e may not be quite as good as what the manufactur­ers report. Timing is also important, and the optimum time for testing is probably three to five days after an exposure. The test is most likely to be positive just before and just after a person begins having symptoms.

The specificit­y is the probabilit­y that the person really has the condition when the test is positive. At-home tests generally perform well, with reported specificit­y ranging from 92% to 99%.

So, the tests can give both false positives and false negatives. However, the specificit­y is high: If you test positive, the likelihood is high that you really have COVID-19.

Test results need to be interprete­d within a person’s context. If you were exposed to a person known to be contagious with COVID-19 and now have fever and cough, a positive test result is virtually certain to mean you have COVID-19. However, if you have had no exposures, and have been sitting at home not seeing anybody, and you take a test that comes out positive, that’s almost certain to be a false positive. The calculatio­n of the positive predictive value — when the test result is positive, do you really have COVID-19? — relates to both the likelihood you had COVID-19 before knowing the test results and the test characteri­stics. The same is true of the negative predictive value, i.e., if the test is negative, are you really free from COVID-19? Your doctor can help you interpret the results for your specific situation.

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