Measuring empiric antibiotic spectrum-A journey through space and time.

Journal Article (Journal Article)

OBJECTIVES: The typical 5-day work week affects healthcare outcomes. Structured work hours have also been implicated in antimicrobial prescribing choice. We developed a visualization tool to aid in evaluating breadth of antibiotic use in various time (day of week and hour of day) and space (patient location) combinations. METHODS: We evaluated antibiotic administration data from a tertiary-care academic medical center between July 1, 2018, and July 1, 2020. We calculated a cumulative empiric antibiotic spectrum score by adapting a previously validated antibiotic spectrum index (ASI) and applying that score to empiric antibiotic use. We visualized these data as a heat map based on various day-of-week-time combinations and then compared the distribution of scores between weekday nights, weekend days, and weekend nights to the typical workweek hours (weekday days, weekday days) using the Mann-Whitney U nonparametric test with a Bonferroni correction. RESULTS: The analysis included 76,535 antibiotic starts across 53,900 unique patient admissions over 2 years. The mean cumulative ASI was higher in all 3 night and weekend combinations (weekday nights, 7.3; weekend days, 7.6; weekend nights, 7.5) compared to the weekday daytime hours (weekday days, 7.1) and the distribution of scores was different in all groups compared to the weekday daytime reference. The cumulative ASI was also higher in intensive care units. CONCLUSIONS: Empiric antibiotic prescribing patterns differed across space and time; broader antibiotic choices occurred in the intensive care units and on nights and weekends. Visualization of these patterns aids in antimicrobial prescribing pattern recognition and may assist in finding opportunities for additional antimicrobial stewardship interventions.

Full Text

Duke Authors

Cited Authors

  • Yarrington, ME; Wrenn, RH; Spivey, J; Sarubbi, C; Anderson, DJ; Moehring, RW

Published Date

  • June 28, 2022

Published In

Start / End Page

  • 1 - 5

PubMed ID

  • 35762168

Electronic International Standard Serial Number (EISSN)

  • 1559-6834

Digital Object Identifier (DOI)

  • 10.1017/ice.2022.151

Language

  • eng

Conference Location

  • United States