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First published April 24, 2008 as JAMIA PrePrint; doi:10.1197/jamia.M2721
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J Am Med Inform Assoc. 2008;15:506-512. DOI 10.1197/jamia.M2721.
© 2008 American Medical Informatics Association


Application of Information Technology

Rapid Identification of Hospitalized Patients at High Risk for MRSA Carriage

R. Scott Evans, MS, PhDa,b,*, Carrie Jane Wallace, RN, PhDa, James F. Lloyd, BSa, Caroline W. Taylor, MSNc, Rouett H. Abouzelof, MSNc, Sharon Sumner, BSNc, Kyle V. Johnson, BSa, Amyanne Wuthrich, MSd, Stephan Harbarth, MD, MSe, Matthew H. Samore, MDb,d,f CDC Prevention Epicenter Program

a Department of Medical Informatics, LDS Hospital, Intermountain Healthcare, Salt Lake City, UT
b Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT
c Division of Infection Control, Intermountain Healthcare, Salt Lake City, UT
d Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT
e Department of Internal Medicine, University Hospitals of Geneva, Geneva, Switzerland
f VA Health Care System, Salt Lake City, Utah.

* Correspondence: R. Scott Evans, M.S., Ph.D., FACMI, Department of Medical Informatics, LDS Hospital, 8th Avenue and C Street, Salt Lake City, Utah (Email: ldsevans{at}ihc.com).

Received for publication: 01/14/08; accepted for publication: 04/10/08.

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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Copyright © 2008 by the American Medical Informatics Association.