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Medical alarms may be inaudible to hospital staff

10/16/14 Andrew Boyd Title Assistant Professor Department General Internal Medicine, Department of Medicine Title Assistant Professor Department Biomedical and Health Information Sciences

Thousands of alarms are generated each day in any given hospital, but there are many reasons why humans may fail to respond to medical alarms, including trouble hearing the alarm.

New research from the University of Illinois at Chicago looked at one common issue that affects alarm preceivability — simultaneous masking.

“We know that our sensory system works as a filter and while that filter, generally, helps us, it can also prevent us from hearing one or more concurrent sounds in certain circumstances,” said Andrew Boyd, senior author of the study.

To study this effect among health care professionals, Boyd and his colleagues played standard medical alarm sounds for 28 nursing students. In the experiments, the participants were provided an initial sound — they were then played additional sounds and asked if the initial sound was present. Students were played sounds under two conditions, a masking condition and a non-masking condition, that each mimicked real-life hospital scenarios.

“Miss rates were significantly higher and sensitivity was significantly lower for the masking condition than for the non-masking one,” said Boyd, associate professor of biomedical information sciences at the UIC College of Applied Health Sciences.

Boyd and his colleagues write that “the results show that masking of an alarm’s primary harmonic is sufficient to make an alarm sound indistinguishable.”

“Considering an average hospital patient may produce hundreds of alarms each day, the presence of masking among standard hospital alarms is dangerous,” he said.

The results are published in Human Factors, a journal of the Human Factors and Ergonomics Society.

Boyd worked with colleagues from the University at Buffalo, the State University of New York, and University of Plymouth on this research. His co-authors are first author Matthew Bolton and Xi Xheng, Meng Li and Judy Reed Edworthy.

The study was supported by the Agency for Healthcare Research and Quality (R18HS024679).

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