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Variations in Identification of Healthcare-Associated Infections

Part of: SHEA Research Network Collection

Published online by Cambridge University Press:  02 January 2015

Sara C. Keller ,
Darren R. Linkin ,
Neil O. Fishman  and
Ebbing Lautenbach
Sara C. Keller
Affiliation:
Center for Healthcare Improvement and Patient Safety, Division of Infectious Diseases, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
Darren R. Linkin
Affiliation:
Center for Clinical Epidemiology and Biostatistics, Division of Infectious Diseases, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
Neil O. Fishman
Affiliation:
Division of Infectious Diseases, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
Ebbing Lautenbach
Affiliation:
Center for Clinical Epidemiology and Biostatistics, Division of Infectious Diseases, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
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Abstract

Objective.

Little is known about whether those performing healthcare-associated infection (HAI) surveillance vary in their interpretations of HAI definitions developed by the Centers for Disease Control and Prevention's National Healthcare Safety Network (NHSN). Our primary objective was to characterize variations in these interpretations using clinical vignettes. We also describe predictors of variation in responses.

Design.

Cross-sectional study.

Setting.

United States.

Participants.

A sample of US-based members of the Society for Healthcare Epidemiology of America (SHEA) Research Network.

Methods.

Respondents assessed whether each of 6 clinical vignettes met criteria for an NHSN-defined HAI. Individual- and institutional-level data were also gathered.

Results.

Surveys were distributed to 143 SHEA Research Network members from 126 hospitals. In total, 113 responses were obtained, representing at least 61 unique hospitals (30 respondents did not identify a hospital); 79.2% (84 of 106 nonmissing responses) were infection preventionists, and 79.4% (81 of 102 nonmissing responses) worked at academic hospitals. Among the 6 vignettes, the proportion of respondents correctly characterizing the vignettes was as low as 27.3%. Combining all 6 vignettes, the mean percentage of correct responses was 61.1% (95% confidence interval, 57.7%–63.8%). Percentage of correct responses was associated with presence of a clinical background (ie, nursing or physician degrees) but not with hospital size or infection prevention and control department characteristics.

Conclusions.

Substantial heterogeneity exists in the application of HAI definitions in this survey of infection preventionists and hospital epidemiologists. Our data suggest a need to better clarify these definitions, especially when comparing HAI rates across institutions.

Type
Original Article
Information
Infection Control & Hospital Epidemiology , Volume 34 , Issue 7 , July 2013 , pp. 678 - 686
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2013

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