a 3-year, pragmatic, cluster-controlled study shows.
“We designed the ePNa specifically to require minimal input from the clinician so everything it does is already in the electronic medical record,” Nathan Dean, MD, University of Utah, Salt Lake City, told this news organization.
“So it’s actually putting the guideline recommendations into effect for physicians so that they can make better decisions by having all this information – it’s a comprehensive best practice kind of tool where best practices are likely to make the biggest difference for patients with a high severity of illness,” he added.
The study was published online in the American Journal of Respiratory and Critical Care Medicine.
Guideline-based tool
The ePNa makes use of pneumonia guidelines of 2007 and 2019 from the American Thoracic Society/Infectious Disease Society of America. The system was deployed into six geographic clusters of 16 Intermountain hospital EDs at 2-month intervals between December 2017 and November 2018. Simultaneous deployment was impractical, as implementation of the tool takes education, monitoring, and feedback that can be facilitated by focusing on only a few hospitals at a time.
The decision support tool gathers key patient indicators including age, fever, oxygen saturation, vital signs, and laboratory and chest imaging results to offer recommendations on care, including appropriate antibiotic therapy, microbiology studies, and whether a given patient should be sent to the intensive care unit, admitted to hospital, or may safely be discharged home.
Investigators analyzed a total of 6,848 patients, of whom 4,536 were managed for pneumonia before the ePNa was deployed and 2,312 after deployment.
The median age of patients was 67 years (interquartile range, 50-79 years). Roughly half were female and almost all were White. “Observed 30-day all-cause mortality including both outpatients and inpatients was 8.6% before deployment versus 4.8% after deployment of ePNa,” Dr. Dean and colleagues reported.
Adjusted for severity of illness, the odds ratio for lower mortality post-ePNa launch was 0.62 (95% confidence interval, 0.49-0.79; P < .0010) “and lower morality was consistent across hospital clusters.”
Compared with patients who were discharged home, reductions in mortality were greatest in patients who were directly admitted to ICUs from the ED (OR, 0.32; 95% CI, 0.14-0.77; P = .01). The OR for patients admitted to the medical floor was 0.53 (95% CI, 0.25-1.1; P = .09), which did not reach statistical significance.
Dr. Dean explained that the reductions in mortality were seen among those with the most severe illness, in whom best practices would benefit the most. In contrast, patients who are sent home on an antibiotic are at low risk for mortality while patients admitted to the medical floor may well have another, more lethal illness from which they end up dying, rather than simple pneumonia.
“For me, this was a clear demonstration that these best practices made the biggest difference in patients who were sick and who did not have any underlying disease that was going to kill them anyway,” he emphasized. On the other hand, both 30-day mortality and 7-day secondary hospital admission were higher among patients the tool recommended for hospital ward admission but who were discharged home from the ED.
“This was an unexpected finding,” Dr. Dean observed. However, as he explained, the authors reviewed 25% of randomly selected patients who fell into this subgroup and discovered that the ePNa tool was used in only about 20% of patients – “so doctors did not use the tool in the majority of this group.”
In addition, some of these patients declined hospital admission, so the doctors may have recommended that they be admitted but the patients said no. “The hypothesis here is that if they had been admitted to the hospital, they may have had a lower mortality risk,” Dr. Dean said.