• Media type: E-Article
  • Title: Investigating the Extremes of Antibiotic Use with an Epidemiologic Framework
  • Contributor: Scheetz, Marc H.; Crew, Page E.; Miglis, Cristina; Gilbert, Elise M.; Sutton, Sarah H.; O'Donnell, J. Nick; Postelnick, Michael; Zembower, Teresa; Rhodes, Nathaniel J.
  • imprint: American Society for Microbiology, 2016
  • Published in: Antimicrobial Agents and Chemotherapy
  • Language: English
  • DOI: 10.1128/aac.00572-16
  • ISSN: 0066-4804; 1098-6596
  • Keywords: Infectious Diseases ; Pharmacology (medical) ; Pharmacology
  • Origination:
  • Footnote:
  • Description: <jats:title>ABSTRACT</jats:title> <jats:p> Benchmarks for judicious use of antimicrobials are needed. Metrics such as <jats:underline>d</jats:underline> efined <jats:underline>d</jats:underline> aily <jats:underline>d</jats:underline> oses (DDDs) and <jats:underline>d</jats:underline> ays <jats:underline>o</jats:underline> f <jats:underline>t</jats:underline> herapy (DOTs) quantify antimicrobial consumption. However, benchmarking with these metrics is complicated by interhospital variability. Thus, it is important for each hospital to monitor its own temporal consumption trends. Time series analyses allow trends to be detected; however, many of these methods are complex. We present simple regressive methods and caveats in using them to define potential antibiotic over- and underutilizations. </jats:p>
  • Access State: Open Access