| Literature DB >> 27001807 |
Marc H Scheetz1, Page E Crew2, Cristina Miglis2, Elise M Gilbert3, Sarah H Sutton4, J Nick O'Donnell2, Michael Postelnick5, Teresa Zembower4, Nathaniel J Rhodes2.
Abstract
Benchmarks for judicious use of antimicrobials are needed. Metrics such as defined daily doses (DDDs) and days of therapy (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.Mesh:
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Year: 2016 PMID: 27001807 PMCID: PMC4879355 DOI: 10.1128/AAC.00572-16
Source DB: PubMed Journal: Antimicrob Agents Chemother ISSN: 0066-4804 Impact factor: 5.191