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First published April 24, 2008 as JAMIA PrePrint; doi:10.1197/jamia.M2721
Journal of the American Medical Informatics Association 2008;15(4):506-512
© 2008 American Medical Informatics Association

A more recent version of this article appeared on July 1, 2008
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Submitted on January 14, 2008
Accepted on April 10, 2008

Rapid Identification of Hospitalized Patients at High Risk for MRSA Carriage

R. Scott Evans MS, PhD1*, Carrie Jane Wallace RN, PhD2, James F. Lloyd BS2, Caroline W. Taylor MSN3, Rouett H. Abouzelof MSN3, Sharon Sumner BSN3, Kyle V. Jonson BS2, Amyanne Wuthrich MS4, Stephan Harbarth MD, MS5, and Matthew H. Samore MD6

Affiliation of the authors: 1 Department of Medical Informatics, LDS Hospital, Intermountain Healthcare, Salt Lake City, Utah; Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah ; 2 Department of Medical Informatics, LDS Hospital, Intermountain Healthcare, Salt Lake City, Utah ; 3 Division of Infection Control, Intermountain Healthcare, Salt Lake City, Utah ; 4 Department of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah ; 5 Department of Internal Medicine, University Hospitals of Geneva, Switzerland ; 6 Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah; Department of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah; VA Health Care System, Salt Lake City, Utah

* To whom correspondence should be addressed.

Patients who are asymptomatic carriers of methicillin-resistant Staphylococcus aureus (MRSA) are major reservoirs for transmission of MRSA to other patients. Medical personnel are usually not aware when these high-risk patients are hospitalized. We developed and tested an enterprise-wide electronic surveillance system to identify patients at high risk for MRSA carriage at hospital admission and during hospitalization. During a two-month study, nasal swabs from 153 high-risk patients were tested for MRSA carriage using polymerase chain reaction (PCR) of which 31 (20.3%) were positive compared to 12 of 293 (4.1%, p < 0.001) low-risk patients. The mean interval from admission to availability of PCR test results was 19.2 hours. Computer alerts for patients at high-risk of MRSA carriage were found to be reliable, timely and offer the potential to replace testing all patients. Previous MRSA colonization was the best predictor but other risk factors were needed to increase the sensitivity of the algorithm.






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