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A Statewide Surveillance System for Antimicrobial-Resistant Bacteria in New Jersey

Published online by Cambridge University Press:  02 January 2015

Sindy M. Paul ,
Lyn Finelli ,
Giles L. Crane  and
Kenneth C. Spitalny
Sindy M. Paul
Affiliation:
Division of Epidemiology, Environmental and Occupational Health Services, New Jersey Department of Health, Trenton, New Jersey
Lyn Finelli*
Affiliation:
Division of Epidemiology, Environmental and Occupational Health Services, New Jersey Department of Health, Trenton, New Jersey
Giles L. Crane
Affiliation:
Division of Epidemiology, Environmental and Occupational Health Services, New Jersey Department of Health, Trenton, New Jersey
Kenneth C. Spitalny
Affiliation:
Division of Epidemiology, Environmental and Occupational Health Services, New Jersey Department of Health, Trenton, New Jersey
*
New Jersey Department of Health, Division of Epidemiology, Environmental and Occupational Health Services CN-369, Trenton, NJ 08625-0369
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Abstract

Objectives:

To determine the validity of an active, hospital laboratory isolate-based surveillance system in estimating rates of infection and to evaluate the use of surveillance data in describing institutional risk factors for increased rates of infection. Methicillin-resistant Staphylococcus aureus (MRSA) was chosen as the prototype organism for these evaluations.

Design:

Correlation Study: linear regression analysis and Student's t test were used to evaluate the correlation between number of MRSA isolates and number of MRSA infections in acute-care hospitals. Cross-Sectional Study: Student's t test, analysis of variance, and multiple linear regression analysis were used to evaluate the association between mean annual rate of MRSA blood isolates and institutional risk factors for increased rates of infection.

Setting:

Acute-care hospitals, New Jersey.

Results:

The number of MRSA blood isolates was significantly correlated with MRSA blood infections (R, 0.78; P<01) and provided a good proxy measure for number of infections. Multivariate analysis demonstrated hospital location in the inner city (P= .02) and number of occupied beds (P<.01) to be independently associated with increased mean annual rates of MRSA blood isolates in acute-care hospitals.

Conclusions:

This surveillance system is a valid tool for the estimation of institutional rates of infection and for the determination of institutional risk factors for increased rates of infection. It is ideal for further population-based investigations of antimicrobial-resistant bacteria.

Type
Original Articles
Information
Infection Control & Hospital Epidemiology , Volume 16 , Issue 7 , July 1995 , pp. 385 - 390
Copyright
Copyright © The Society for Healthcare Epidemiology of America 1995

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