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JAC Advance Access published online on June 12, 2008
Journal of Antimicrobial Chemotherapy, doi:10.1093/jac/dkn240
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© 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


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