Literature DB >> 21460470

Factors associated with the prevalence of antibiotic use for the treatment of hospital-acquired infections at 393 French hospitals: a regional variation analysis.

B Amadeo1, C Dumartin, A G Venier, A Fourrier-Réglat, B Coignard, A M Rogues.   

Abstract

OBJECTIVE: The present study investigated regional variations in antibiotic use for the treatment of hospital-acquired infections (HAIs) in France by means of a multilevel analysis, to identify targets for quality improvement.
METHODS: Data were obtained from the 2001 and 2006 French national point-prevalence surveys of HAIs and antibiotic use. The present study was conducted using data from 393 nonteaching public hospitals. Data included patient characteristics calculated at the hospital level (mean age and proportion of patients with the following: HAI, presence of a vascular catheter, presence of a urinary catheter, surgical procedure, and immunodeficiency) and hospital characteristics (size and presence of an intensive care unit). The regional effect was measured using a random intercept on a regional variable.
RESULTS: Overall, the prevalence of antibiotic use was 5.35% for both study years. The most commonly used antibiotics for HAIs were fluoroquinolones (2001, 1.33%; 2006, 1.35%) and combinations of penicillins with a β-lactamase inhibitor (2001, 0.92%; 2006, 1.02%). Mapping of antibiotic use showed wide variation between regions. The regional effect explained 3% of antibiotic variation in the unadjusted analysis. In the multivariable analysis, hospital size, high prevalence of patients with immunodeficiency, and infection characteristics explained 45% of the variability in antibiotic use. The regional effect was not retained in the final model.
CONCLUSION: The pattern of antibiotic use for HAIs differed over time, and regional variations were mostly explained by patient characteristics; there was no regional effect. Models that take data hierarchy into account are essential to better approach antibiotic use and develop relevant strategies for improvement.

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Year:  2011        PMID: 21460470     DOI: 10.1086/657909

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  4 in total

1.  Nosocomial infection and antibiotic use: a second national prevalence study in Germany.

Authors:  Michael Behnke; Sonja Hansen; Rasmus Leistner; Luis Alberto Peña Diaz; Alexander Gropmann; Dorit Sohr; Petra Gastmeier; Brar Piening
Journal:  Dtsch Arztebl Int       Date:  2013-09-20       Impact factor: 5.594

2.  Variation in antibiotic use among and within different settings: a systematic review.

Authors:  Veronica Zanichelli; Annelie A Monnier; Inge C Gyssens; Niels Adriaenssens; Ann Versporten; Céline Pulcini; Marion Le Maréchal; Gianpiero Tebano; Vera Vlahovic-Palcevski; Mirjana Stanic Benic; Romina Milanic; Stephan Harbarth; Marlies E Hulscher; Benedikt Huttner
Journal:  J Antimicrob Chemother       Date:  2018-06-01       Impact factor: 5.790

3.  Improving prediction of surgical site infection risk with multilevel modeling.

Authors:  Lauren Saunders; Marion Perennec-Olivier; Pascal Jarno; François L'Hériteau; Anne-Gaëlle Venier; Loïc Simon; Marine Giard; Jean-Michel Thiolet; Jean-François Viel
Journal:  PLoS One       Date:  2014-05-16       Impact factor: 3.240

4.  A three-year survey of the antimicrobial resistance of microorganisms at a Chinese hospital.

Authors:  Jing Tang; Lili Wang; Yufei Xi; Gaolin Liu
Journal:  Exp Ther Med       Date:  2016-01-12       Impact factor: 2.447

  4 in total

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