The Neighborhood Effect in the Hospital

03
Jan
2017

By John Easton, originally posted at ScienceLife.

In a research letter published Dec. 27, 2016, in JAMA, University of Chicago physicians describe a new concern for patients in the hospital: distractions caused by the misfortune of other patients.

The researchers found that when one patient on a typical 20-bed hospital unit took a turn for the worse – a cardiac arrest, for example, or being transferred to an intensive-care unit – the other patients on that ward were at increased risk for their own setbacks.

In the six hours after a critical-illness event, the odds that a second patient in the same unit would undergo a comparable crisis increased by about 18 percent. If there were two such events during a six-hour time period, the risk of yet another occurrence went up by about 53 percent. Risks were slightly higher when the initial critical illness events occurred at night.

Cardiac arrests, urgent ICU transfers or patient deaths were also associated with delayed discharge from the hospital for the other patients on the same unit.

“This should serve as a wake-up call for hospital-based physicians,” said study author Matthew Churpek, MD, MPH, PhD, assistant professor of medicine at the University of Chicago. “Our data suggests that after caring for a patient who becomes critically ill on the hospital wards, we should routinely check to see how the other patients on the unit are doing,” Churpek said.

“Following these high-intensity events, our to-do list should include a thorough assessment of the other patients on the unit, to make sure none of them are at risk of slipping through the cracks.”

Luckily, such events were relatively rare. Nearly 84,000 adult patients were admitted to non-ICU beds at the University of Chicago Medicine from 2009 to 2013. About five percent of those patients were subsequently transferred to an intensive-care unit (4,107) or experienced an in-hospital cardiac arrest (179).

Patients who had a cardiac arrest or required ICU transfer tended to be a few years older and male. They had been in the hospital, on average, for 13 days, four times longer than patients who did not have a critical-illness event.

“We suspected this phenomenon based on our own anecdotal experience,” said co-author Samuel Volchenboum, MD, PhD, associate professor of pediatrics at the University of Chicago, Computation Institute faculty and fellow, and director of the University’s Center for Research Informatics. “But until we had access to a large, well-curated research-data warehouse, we couldn’t perform a study like this.”

“Very few academic centers have access to the kinds of high-quality data needed to perform this type of investigation,” he added.

The study was designed to detect and quantify any increased risk to neighboring patients. The researchers speculate that one potential factor may be that doctors and nurses could have been “temporarily diverted to help care for critically ill patients,” Volchenboum said. “Further study is needed to determine the causes of this effect.”

The study was funded by the National Heart Lung and Blood Institute. Additional authors were CI researcher Anoop Mayampurath, Gözde Göksu-Gürsoy, Dana P. Edelson and Michael D. Howell, all from the University of Chicago.

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