An algorithm-driven risk assessment embedded in an electronic health record (EHR) helped clinicians reduce inappropriate broad-spectrum antibiotic prescribing by 17.4% and 28.4% in patients with UTIs and pneumonia, respectively, according to two related studies published in JAMA.
The randomized control trials included more than 200,000 adult patients with non–life threatening pneumonia or urinary tract infections (UTIs) in 59 hospitals owned by HCA Healthcare across the country.
Researchers analyzed baseline prescribing behaviors over an 18-month period starting in April 2017, and data from a 15-month period of implementation of the new antibiotic system starting in April 2019.
, according to lead author Shruti K. Gohil, MD, MPH, associate medical director of epidemiology and infection prevention, infectious diseases at the University of California Irvine School of Medicine.
“When a patient comes in with pneumonia or a UTI, it’s precisely because we are concerned that our patients have a multidrug-resistant organism that we end up using broad-spectrum antibiotics,” she said.
Despite growing awareness of the need to reduce unnecessary antibiotic use, clinicians have still been slow to adopt a more conservative approach to prescribing, Dr. Gohil said.
“What physicians have been needing is something to hang their hat on, to be able to say, ‘Okay, well, this one’s a low-risk person,’ ” Dr. Gohil said.
The trials compared the impact of routine antibiotic activities with a stewardship bundle, called INSPIRE (Intelligent Stewardship Prompts to Improve Real-time Empiric Antibiotic Selection).
Both groups received educational materials, quarterly coaching calls, prospective evaluations for antibiotic use, and were required to select a reason for prescribing an antibiotic.
But prescribers in the intervention group took part in monthly coaching calls and feedback reports. In addition, if a clinician ordered a broad-spectrum antibiotic to treat pneumonia or a UTI outside of the intensive care unit within 72 hours of admission, an EHR prompt would pop up. The pop-up suggested a standard-spectrum antibiotic instead if patient risk for developing a multidrug-resistant (MDRO) version of either condition was less than 10%.
An algorithm used data from the EHR calculated risk, using factors like patient demographics and history and MDRO infection at the community and hospital level.
Prescribing rates were based on the number of days a patient received a broad-spectrum antibiotic during the first 72 hours of hospitalization.
For the UTI intervention group, rates dropped by 17.4% (rate ratio [RR], 0.83; 95% CI, 0.77-0.89; P < .001), and 28.4% reduction in the pneumonia group (RR, 0.72; 95% CI, 0.66-0.78; P < .001).
“We cannot know which element — prompt, education, or feedback — worked, but the data suggests that the prompt was the main driver,” Dr. Gohil said.
“In antibiotic stewardship, we have learned not only that doctors want to do the right thing, but that we as stewards need to make it easy for them do the right thing,” said Paul Pottinger, MD, professor of medicine at the Division of Allergy and Infectious Diseases at the University of Washington Medical Center in Seattle.
The prompt “is your easy button,” said Dr. Pottinger, who was not involved with either study. “The researchers made it simple, fast, and straightforward, so people don’t have to think about it too much.”
The studies showed similar safety outcomes for the control and intervention groups. Among patients with a UTI, those in the control group were transferred to the ICU after an average of 6.6 days compared to 7 days in the intervention group. Among patients with pneumonia, the average days to ICU transfer were 6.5 for the control group and 7.1 for the intervention group.
“This study is a proof of concept that physicians want to do the right thing and are willing to trust this information,” Dr. Pottinger said. “And this also shows us that this tool can be refined and made even more precise over time.”
The study was funded by the US Centers for Disease Control and Prevention and was led by the University of California Irvine, Harvard Pilgrim Healthcare Institute, and HCA Healthcare System. Various authors report funding and support from entities outside the submitted work. The full list can be found with the original articles.
A version of this article appeared on Medscape.com.