A simple microsoft excel method to predict antibiotic outbreaks and underutilization

Cristina Miglis, Nathaniel J. Rhodes, Sean N. Avedissian, Teresa R. Zembower, Michael Postelnick, Richard G. Wunderink, Sarah H. Sutton, Marc H. Scheetz

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Benchmarking strategies are needed to promote the appropriate use of antibiotics. We have adapted a simple regressive method in Microsoft Excel that is easily implementable and creates predictive indices. This method trends consumption over time and can identify periods of over- and underuse at the hospital level.

Original languageEnglish (US)
Pages (from-to)860-862
Number of pages3
JournalInfection Control and Hospital Epidemiology
Volume38
Issue number7
DOIs
StatePublished - Jul 1 2017

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ASJC Scopus subject areas

  • Epidemiology
  • Microbiology (medical)
  • Infectious Diseases

Cite this

Miglis, C., Rhodes, N. J., Avedissian, S. N., Zembower, T. R., Postelnick, M., Wunderink, R. G., Sutton, S. H., & Scheetz, M. H. (2017). A simple microsoft excel method to predict antibiotic outbreaks and underutilization. Infection Control and Hospital Epidemiology, 38(7), 860-862. https://doi.org/10.1017/ice.2017.72