Medical device companies, like the hundreds that dot Minnesota, do not know everything about the safety of their products.
The Food and Drug Administration requires device makers to prove new devices are safe to use as directed, but there's only so much testing the agency can require before approving or denying a new product for market. That's why the FDA requires "postmarket" surveillance, which includes investigating all complaints about their devices and reporting confirmed problems publicly.
But researchers and regulators say the device-surveillance system is deeply flawed, exposing patients and doctors to greater risks.
Many device problems are never logged in the FDA's public system for adverse-event reporting known as MAUDE. And a study published last month by University of Minnesota researchers found that even when device companies do have the relevant information at hand, they are often biased in favor of waiting too long to issue product recalls.
"The reality is, if you look at the results, clearly there is under-reaction" to events that spur device recalls, said Kingshuk "KK" Sinha, a department chair with the U's Carlson School of Management.
Sinha's paper, published Jan. 29 in the journal Production and Operations Management, applied digital analytics to millions of medical device product reports and recall records and found a high "signal to noise" ratio correlated with delays in reacting to safety events.
In other words, the more adverse event reports there are for a particular device, the more likely a company will exhibit "under-reaction bias" in deciding whether to issue a recall, Sinha's research found. Older and widely used devices tend to have scores of reports in MAUDE, making safety-signal detection difficult.
"There is always something. But sometimes there is something more fundamental going on … the distribution [of reported problems] has shifted, and is no longer noise. It is actually a signal," Sinha said. "We should train our executives and decisionmakers just like fighter pilots, to make sure their reaction-time responses are optimal."