Skip Navigation



JAC Advance Access published online on June 12, 2008
Journal of Antimicrobial Chemotherapy, doi:10.1093/jac/dkn240
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
62/3/431    most recent
dkn240v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Harbarth, S.
Right arrow Articles by Samore, M. H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Harbarth, S.
Right arrow Articles by Samore, M. H.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2008. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org

Leading article

Interventions to control MRSA: high time for time-series analysis?

S. Harbarth1,* and M. H. Samore2,3

1 Infection Control Program, University of Geneva Hospitals and Medical School, CH-1211 Geneva 14, Switzerland 2 VA Salt Lake City Health Care System, Salt Lake City, UT 84148, USA 3 Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT 84108, USA

* Corresponding author. Tel: +41-22-372-9828; Fax: +41-22-372-3987; E-mail: stephan.harbarth{at}hcuge.ch

Time-series methods are useful in quasi-experimental study designs in which rates of antibiotic-resistant infections are ascertained before and after an intervention. However, uncertainties remain regarding the use of time-series analysis as an appropriate research methodology for analysing the effect of infection control interventions and antibiotic policies on the epidemiology of methicillin-resistant Staphylococcus aureus (MRSA). In particular, there is still a substantial gap in our understanding of what actually happens to MRSA incidence when a planned intervention is made on use of one or more antibiotic drug classes.

Key Words: methicillin-resistance , Staphylococcus aureus , epidemiology , cross-infection , antimicrobial , hospital , patient safety , statistical analysis , infection control , screening


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 J Antimicrob ChemotherHome page
I. M. Gould
Comment on: Interventions to control MRSA: high time for time-series analysis?
J. Antimicrob. Chemother., January 1, 2009; 63(1): 224 - 224.
[Full Text] [PDF]

Home page
 J Antimicrob ChemotherHome page
B. Huttner, D. Pittet, and S. Harbarth
Comment on: Control of extended-spectrum {beta}-lactamase-producing Klebsiella pneumoniae using a computer-assisted management program to restrict third-generation cephalosporin use
J. Antimicrob. Chemother., November 1, 2008; 62(5): 1165 - 1165.
[Full Text] [PDF]


Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.