Study Raises Questions About False Negatives From Quick COVID-19 Test

April 21, 2020 / ROB STEIN

The fastest test being used to diagnose people infected with the coronavirus appears to be the least accurate test now in common use, according to new research obtained by NPR.

Researchers at the Cleveland Clinic tested 239 specimens known to contain the coronavirus using five of the most commonly used coronavirus tests, including the Abbott ID NOW. The ID NOW has generated widespread excitement because it can produce results in less than 15 minutes.

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But the ID NOW only detected the virus in 85.2% of the samples, meaning it had a false-negative rate of 14.8 percent, according to Dr. Gary Procop, who heads COVID-19 testing at the Cleveland Clinic and led the study.

“So that means if you had 100 patients that were positive, 15% of those patients would be falsely called negative. They’d be told that they’re negative for COVID when they’re really positive,” Procop told NPR in an interview. “That’s not too good.”

Procop says a test should be at least 95% reliable.

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