Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-14T04:28:31.707Z Has data issue: false hasContentIssue false
  • English
  • Français

Quality of Data Reported to a Smaller-Hospital Pilot Surveillance Program

Published online by Cambridge University Press:  02 January 2015

Noleen J. Bennett ,
Ann L. Bull ,
David R. Dunt ,
Michael J. Richards ,
Philip L. Russo  and
Denis W. Spelman
Noleen J. Bennett*
Affiliation:
Victorian Hospital Acquired Infection Surveillance System, (VIC-NISS) Coordinating Centre, Melbourne, Australia
Ann L. Bull
Affiliation:
Victorian Hospital Acquired Infection Surveillance System, (VIC-NISS) Coordinating Centre, Melbourne, Australia
David R. Dunt
Affiliation:
School of Population Health, the University of Melbourne, Melbourne, Australia
Michael J. Richards
Affiliation:
Victorian Hospital Acquired Infection Surveillance System, (VIC-NISS) Coordinating Centre, Melbourne, Australia
Philip L. Russo
Affiliation:
Victorian Hospital Acquired Infection Surveillance System, (VIC-NISS) Coordinating Centre, Melbourne, Australia
Denis W. Spelman
Affiliation:
Microbiology and Infectious Diseases Unit, Alfred Hospital, Melbourne, Australia
*
Senior Infection Control consultant, Victorian Hospital Acquired Surveillance System Coordinating Centre, 10 Wreckyn St., North Melbourne 3061, VIC, Australia (Noleen.Bennett@mh.org.au)
Get access Rights & Permissions [Opens in a new window]

Abstract

This data quality study assessed the accuracy of data collected as part of a pilot smaller-hospital surveillance program for methicillin-resistant Staphylococcus aureus (MRSA) infection and bloodstream infection (BSI). For reported MRSA infection, estimated values were as follows: sensitivity, 40%; specificity, 99.9%; and positive predictive value, 33.3%. For reported BSI, estimated values were as follows: sensitivity, 42.9%; specificity, 99.8%; and positive predictive value, 37.5%.

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 28 , Issue 4 , April 2007 , pp. 486 - 488
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Centers for Disease Control and Prevention National Nosocomial Infection Surveillance System. Nosocomial infection rates for inter-hospital comparison: limitations and possible solutions. Infect Control Hosp Epidemiol 1991;12:609–621.CrossRefGoogle Scholar
2.Mulholland, SG, Creed, J, Dierauf, LA, Brumn, IN, Blackmore, WS. Analysis and significance of nosocomial infection rates. Ann Surg 1974;180:827–830.CrossRefGoogle ScholarPubMed
3.Colignon, P, Looke, D, Ferguson, J, McLaws, M-L, Olsen, D. Surveillance definitions for multi-resistant organisms (MROs). Australian Infect Control J 2002;7.Google Scholar
4.Gaynes, RP, Horan, TC. Surveillance of nosocomial infections. In: Mayhall, G, ed. Hospital Epidemiology and Infection Control. Baltimore: Williams & Wilkins, 1996:1285–1317.Google Scholar
5.Larson, E, Horan, T, Cooper, B, Kotilainen, HR, Landry, S, Terry, B. Study of the definition of nosocomial infections. Am J Infect Control 1991;19:259–267.Google Scholar
6.Ehrenkranz, NJ, Schulz, LM, Richter, EI. Recorded criteria as a gold standard for sensitivity and specificity estimates of surveillance of nosocomial infection: a novel method to measure job performance. Infect Control Hosp Epidemiol 1995;16:697–702.CrossRefGoogle Scholar
7.Emori, TG, Edwards, JR, Culver, DH, et al.Accuracy of reporting nosocomial infections in intensive care unit patients to the National Nosocomial Infections Surveillance system: a pilot study. Infect Control Hosp Epidemiol 1998;19:308–316.CrossRefGoogle Scholar
8.Perl, TM. Surveillance, reporting and the use of computers. In: Wenzel, RP, ed. Prevention and Control of Nosocomial Infections. 3rd ed. Baltimore: Williams & Wilkins, 1997:25–161.Google Scholar
9.Gastmeier, P, Brauer, H, Hauer, T, Schumacher, M, Daschner, F, Ruden, H. How many nosocomial infections are missed if identification is restricted to patients with either microbiology reports or antibiotic administration? Infect Control Hosp Epidemiol 1999;20:124–127.Google Scholar
10.Haley, RW, Schaberg, DR, McClish, DK, et al.The accuracy of retrospective chart review in measuring nosocomial infection rates: results of validation studies in pilot hospitals. Am J Epidemiol 1980;111:516–533.CrossRefGoogle ScholarPubMed
11.Glenister, HM, Taylor, LJ, Bartlett, CLR, Cooke, EM, Sedgwick, JA, Mackintosh, CA. An evaluation of surveillance methods for detecting infections in hospital inpatients. J Hosp Infect 1993;23:229–242.CrossRefGoogle ScholarPubMed
12.Gastmeier, P, Kampf, G, Hauer, T, et al.Experience with two validation methods in a prevalence survey on nosocomial infections. Infect Control Hosp Epidemiol 1998;19:668–673.Google Scholar
13.Cardo, DM, Falk, PS, Mayhall, CG. Validation of surgical wound surveillance. Infect Control Hosp Epidemiol 1993;14:211–215.CrossRefGoogle ScholarPubMed
14.Broderick, A, Mori, M, Nettleman, MD, Streed, SA, Wenzel, RP. Nosocomial infections: validation of surveillance and computer modelling to identify patients at risk. Am J Epidemiol 1990;131:734–742.CrossRefGoogle ScholarPubMed
15.Laxson, LB, Blaser, MJ, Parkhurst, SM. Surveillance for the detection of nosocomial infections and the potential for nosocomial outbreaks. 1. Microbiology culture surveillance is an effective method of detecting nosocomial infection. Am J Infect Control 1984;12:318–324.Google Scholar
16.The Quality Indicator Study Group. An approach to the evaluation of quality indicators of the outcome of care in hospitalized patients, with a focus on nosocomial infection indicators. Am J Infect Control 1995;23:215–222.CrossRefGoogle Scholar
17.Larson, E, Oram, LF, Hedrick, E. Nosocomial infection rates as an indicator of quality. Med Care 1988;26:676–685.Google Scholar
18.Freeman, J, McGowan, JE JrMethodological issues in hospital epidemiology. I. Rates, case finding and interpretations. Rev Infect Dis 1981;3:658–667.CrossRefGoogle Scholar