Abstract

<b>Introduction:</b> Broad spectrum antibiotics are overused in the treatment of community acquired pneumonia (CAP). We have previously reported a validated risk score for drug-resistant pathogens (DRIP) whose implementation within electronic clinical decision support reduced empiric, inappropriate, broad-spectrum antibiotic use in CAP. <b>Objectives:</b> Evaluate whether DRIP implementation produced a durable reduction in the rate of broad-spectrum antibiotic prescription. <b>Methods:</b> We identified patients with CAP admitted to one of four hospitals in 3 cohorts: 1) pre-implementation (2011-2012), 2) shortly after DRIP implementation (2014-2015) and 3) long-term post-implementation (2017-2019). Antibiotics were classified as broad-spectrum if their spectrum included MRSA or P. Aeruginosa and were not appropriate based on CAP guidelines. <b>Results:</b> There were 3750 patients, 86% white, 51% women, median age 65. The cohorts had 1377, 1218 and 1155 patients, respectively. The rate of broad-spectrum antibiotic use in each cohort was 30.0%, 24.7% and 22.4%. Implementation of an electronic clinical decision support tool for empiric initial antibiotic selection in CAP resulted in a sustained decrease in extended-spectrum antibiotic use from prior to implementation through two periods afterward, p&lt;0.001. <b>Conclusions:</b> Embedding a validated, automated risk score for predicting drug resistant pathogens in electronic clinical decision support resulted in a significant, durable reduction in broad-spectrum antibiotic use for CAP. This result highlights the critical role automated interventions can play in guiding important processes of care.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.