Literature DB >> 22512754

Benchmarking antimicrobial drug use in hospitals.

Omar M Ibrahim1, Ron E Polk.   

Abstract

Measuring and monitoring antibiotic use in hospitals is believed to be an important component of the strategies available to antimicrobial stewardship programs to address acquired antimicrobial resistance. Recent efforts to organize large numbers of hospitals into networks allow for interhospital comparisons of a variety of healthcare processes and outcomes, a process often called 'benchmarking'. For comparisons of antimicrobial use to be valid, usage figures must be risk-adjusted to account for differences in patient mix and hospital characteristics. The purpose of this review is to describe recent methods to benchmark antimicrobial drug use and to critically assess the potential advantages and the remaining challenges. While many methodological challenges remain, and the clinical outcomes resulting from benchmarking programs have yet to be determined, recent developments suggest that benchmarking antimicrobial drug use will become an important component of antimicrobial stewardship program activities.

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Year:  2012        PMID: 22512754     DOI: 10.1586/eri.12.18

Source DB:  PubMed          Journal:  Expert Rev Anti Infect Ther        ISSN: 1478-7210            Impact factor:   5.091


  19 in total

Review 1.  Antimicrobial resistance: a global multifaceted phenomenon.

Authors:  Francesca Prestinaci; Patrizio Pezzotti; Annalisa Pantosti
Journal:  Pathog Glob Health       Date:  2015-09-07       Impact factor: 2.894

2.  Challenges in measuring antibiotic consumption.

Authors:  Leigh Anne Hylton Gravatt; Amy L Pakyz
Journal:  Curr Infect Dis Rep       Date:  2013-12       Impact factor: 3.725

3.  Antimicrobial stewardship as part of the infection prevention effort.

Authors:  Rebekah W Moehring; Deverick J Anderson
Journal:  Curr Infect Dis Rep       Date:  2012-12       Impact factor: 3.725

Review 4.  Implementing a strategy for monitoring inpatient antimicrobial use among hospitals in the United States.

Authors:  Scott K Fridkin; Arjun Srinivasan
Journal:  Clin Infect Dis       Date:  2013-10-25       Impact factor: 9.079

5.  Predicting the Risk of Clostridium difficile Infection upon Admission: A Score to Identify Patients for Antimicrobial Stewardship Efforts.

Authors:  Jennifer L Kuntz; David H Smith; Amanda F Petrik; Xiuhai Yang; Micah L Thorp; Tracy Barton; Karen Barton; Matthew Labreche; Steven J Spindel; Eric S Johnson
Journal:  Perm J       Date:  2016

6.  Hospital antibiotic use and its relationship to age-adjusted comorbidity and alcohol-based hand rub consumption.

Authors:  M A Aldeyab; J C McElnay; M G Scott; F W Darwish Elhajji; M P Kearney
Journal:  Epidemiol Infect       Date:  2013-05-09       Impact factor: 4.434

7.  Prevalence of antimicrobial use in a network of Canadian hospitals in 2002 and 2009.

Authors:  Geoffrey Taylor; Denise Gravel; Lynora Saxinger; Kathryn Bush; Kimberley Simmonds; Anne Matlow; Joanne Embree; Nicole Le Saux; Lynn Johnston; Kathryn N Suh; John Embil; Elizabeth Henderson; Michael John; Virginia Roth; Alice Wong
Journal:  Can J Infect Dis Med Microbiol       Date:  2015 Mar-Apr       Impact factor: 2.471

8.  Predicting Antimicrobial Resistance Prevalence and Incidence from Indicators of Antimicrobial Use: What Is the Most Accurate Indicator for Surveillance in Intensive Care Units?

Authors:  Élise Fortin; Robert W Platt; Patricia S Fontela; David L Buckeridge; Caroline Quach
Journal:  PLoS One       Date:  2015-12-28       Impact factor: 3.240

9.  A Simulation Study to Assess Indicators of Antimicrobial Use as Predictors of Resistance: Does It Matter Which Indicator Is Used?

Authors:  Elise Fortin; Caroline Quach; Patricia S Fontela; David L Buckeridge; Robert W Platt
Journal:  PLoS One       Date:  2015-12-23       Impact factor: 3.240

10.  Using informatics and the electronic medical record to describe antimicrobial use in the clinical management of diarrhea cases at 12 companion animal practices.

Authors:  R Michele Anholt; John Berezowski; Carl S Ribble; Margaret L Russell; Craig Stephen
Journal:  PLoS One       Date:  2014-07-24       Impact factor: 3.240

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