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The Effect of Surveillance Definitions on Nosocomial Urinary Tract Infection Rates in a Rehabilitation Hospital

Published online by Cambridge University Press:  02 January 2015

Steven M. Lewis
Steven M. Lewis*
Affiliation:
Marianjoy Rehabilitation Hospital and Clinics, Wheaton, Illinois
*
1725 South St., Geneva, IL 60134
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Abstract

This article presents original research findings to illustrate the influence of surveillance definitions on infection rate. Several definitions for urinary tract infection were applied to clinical and laboratory data from rehabilitation hospital patients, and the effect on sensitivity and specificity examined. We demonstrate that it is essential to take into account the influence of the surveillance definition when interpreting surveillance data, and the importance of ensuring that the surveillance definition is compatible with the surveillance objectives when selecting a definition. Surveillance definitions that serve well in one surveillance program may not serve well in another.

Type
Statistics for Hospital Epidemiology
Information
Infection Control & Hospital Epidemiology , Volume 16 , Issue 1 , January 1995 , pp. 43 - 48
Copyright
Copyright © The Society for Healthcare Epidemiology of America 1995

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References

1. Haley, RW, Gaynes, RP, Aber, RC, Bennett, JV. Surveillance of nosocomial infections. In: Bennett, JV, Brachman, PS, eds. Hospital Infections. 3rd ed. Boston, MA: Little, Brown & Co; 1992:79–108.Google Scholar
2. Garibaldi, RA. Hospital-acquired urinary tract infections. In: Wenzel, RP, ed. Prevention and Control of Nosocomial Infections. 2nd ed. Baltimore, MD: Williams & Wilkins; 1993:600–613.Google Scholar
3. Lewis, SM, Yokoo, E, Lambert, R. Epidemiology of nosocomial infection in a rehabilitation hospital. Arch Phys Med Rehabil 1989;70:A-90.Google Scholar
4. Flaherty, PJ, Liljestrand, JS, O'Brien, TF. Infection control surveillance in a rehabilitation hospital. Arch Phys Med Rehabil 1984;65:313–315.Google Scholar
5. Flaherty, PJ, Liljestrand, JS, O'Brien, TF. Urinary infections in an American rehabilitation hospital. J Hosp Infect 1984;5(suppl A):75–80.Google Scholar
6. Yokoo, E, Lewis, SM, Lambert, R. Prediction of urinary tract infection in rehabilitation patients. Arch Phys Med Rehabil 1989;70:A-29.Google Scholar
7. Waites, KB, Canupp, KC, DeVivo, MJ. Epidemiology and risk factors for urinary tract infection following spinal cord injury. Arch Phys Med Rehabil 1993;74:691–695.Google Scholar
8. Lewis, SM, Costa, JL, Kilgore, K, Siverstein, B. Urinary tract infection risk in rehabilitation inpatients as a function of hospital day. Arch Phys Med Rehabil 1990;71:820.Google Scholar
9. Garibaldi, RA. Hospital acquired urinary tract infection. In: Wenzel, RP, ed. Handbook of Hospital Acquired Infections. 1st ed. Boca Raton, FL: CRC Press, Inc; 1981:513–537.Google Scholar
10. Garner, JS, Jarvis, WR, Emori, TG, Horan, TC, Hughes, JM. CDC definitions for nosocomial infections, 1988. J Infect Control 1988;16:128–140.Google Scholar
11. McGeer, A, Campbell, B, Emori, T, et al. Definitions of infection for surveillance in long-term care facilities, Am J Infect Control 1991;19:1–7.Google Scholar
12. Stark, RP, Maki, D. Bacteriuria in the catheterized patient. What quantitative level of bacteriuria is relevant. N Engl J Med 1984;311:560–564.Google Scholar
13. Emori, TG, Culver, DH, Horan, TC, et al. National Nosocomial Infections Surveillance System (NNIS): description of surveillance methodology. Am J Infect Control 1991;19:19–35.Google Scholar
14. Birnbaum, D, Sheps, SB. Validation of new tests. Infect Control Hosp Epidemiol 1991;12:622–624.Google Scholar
15. Freeman, J, Goldman, DA, McGowan, JE. Confounding and the analysis of multiple variables in hospital epidemiology. Infect Control 1978;8:465–473.Google Scholar