Increased Risk to Neighboring Patients by a Critical-Illness Event in the Same Unit

When one patient in a hospital unit was being transferred to an intensive-care unit, the other patients on that ward were at increased risk for their own setbacks.

A new concern for patients in the hospital: distractions caused by the misfortune of other patients has been described by University of Chicago physicians. The study is published in the JAMA.

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.

Financial Schemes for Hospitals Only Reduce Patient Death Rates
Pay-for-performance schemes – which reward hospitals financially for improving the quality of care provided to patients – only reduce patient death rates in the short term.

‘A critical-illness event increases the odds that a second patient in the same unit would undergo a comparable crisis.’

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%. If there were two such events during a six-hour time period, the risk of yet another occurrence went up by about 53%. 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, assistant professor of medicine at the University of Chicago.

Team Training Reduces Patient Deaths And Medical Errors
Team training of health care employees can reduce patient mortality by 15 percent, according to a new study. It can also reduce medical errors by 19 percent.

"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."

Higher Patient Death Rates Linked to Overworked Nurses
Shocking statistical backing has emerged from investigations in nine European countries to claims that patients' lives may be at risk when nurses are overworked.

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 5% 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.

The Publication Of Surgeon Specific Death Rates Raises Controversy
The publication of death rates of patients, specific for every surgeon in Scotland has led to mixed reactions from members of the medical community.

"We suspected this phenomenon based on our own anecdotal experience," said co-author Samuel Volchenboum, associate professor of pediatrics at the University of Chicago 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."

Source-Eurekalert