Improved antibiotic prescribing using indication‐based clinical decision support in the emergency department

Abstract

Abstract Background Evaluate an indication‐based clinical decision support tool to improve antibiotic prescribing in the emergency department. Methods Encounters where an antibiotic was prescribed between January 2015 and October 2017 were analyzed before and after the introduction of a clinical decision support tool to improve clinicians’ selection of a guideline‐approved antibiotic based on clinical indication. Evaluation was conducted on a pre‐defined subset of conditions that included skin and soft tissue infections, respiratory infections, and urinary infections. The primary outcome was ordering of a guideline‐approved antibiotic prescription at the drug and duration of therapy level. A mixed model following a binomial distribution with a logit link was used to model the difference in proportions of guideline‐approved prescriptions before and after the intervention. Results For conditions evaluated, selection rate of a guideline‐approved antibiotic for a given indication improved from 67.1% to 72.2% (P < 0.001). When duration of therapy is included as a criterion, selection of a guideline‐approved antibiotic was lower and improved from 24.7% to 31.4% (P < 0.001), highlighting that duration of therapy is often missing at the time of prescribing. The most substantial improvements were seen for pneumonia and pyelonephritis with an increase from 87.9% to 97.5% and 62.8% to 82.6%, respectively. Other significant improvements were seen for abscess, cellulitis, and urinary tract infections. Conclusion Antibiotic prescribing can be improved both at the drug and duration of therapy level using a non‐interruptive and indication based‐clinical decision support approach. Future research and quality improvement efforts are needed to incorporate duration of therapy guidelines into the antibiotic prescribing process.