Are nosocomial infection rates in intensive care units useful benchmark parameters?

Citation
P. Gastmeier et al., Are nosocomial infection rates in intensive care units useful benchmark parameters?, INFECTION, 28(6), 2000, pp. 346-350
Citations number
15
Categorie Soggetti
Clinical Immunolgy & Infectious Disease",Immunology
Journal title
INFECTION
ISSN journal
03008126 → ACNP
Volume
28
Issue
6
Year of publication
2000
Pages
346 - 350
Database
ISI
SICI code
0300-8126(200011/12)28:6<346:ANIRII>2.0.ZU;2-M
Abstract
Background: The objectives of this study were to determine to what extent t he German national nosocomial infection surveillance system (Krankenhaus In fektions Surveillance System, KISS) can take into account the circumstances prevailing in various intensive care units (ICUs) and to establish whether KISS-ICU infection rates can serve as useful benchmark parameters. Methods: The investigation focused on th ree major factors: microbiological monitoring, severity of illness and the duration of surveillance, For each of these factors separate infection rates were calculated for various ICU groups and the differences compared. Results: Significant differences were found for catheter-associated urinary tract infections (CAUTI) with routine monitoring, but not for ventilator-a ssociated pneumonia (VAP). Significant differences were assessed for centra l venous catheter-associated bloodstream infections (CVCBSI), considering t he average ventilator utilization rate in the ICU as a surrogate parameter for the average severity of illness in its patient group. Surveillance peri ods of about 1 year were necessary to confirm definite outlier and nonoutli er positions for the majority of the ICUs. Conclusion: Using KISS data for internal orientation, it is possible to not e important differences between ICUs when interpreting infection rates; som e initial examples of successful use of surveillance data for the reduction of infection rates are already available. However, the use of such data fo r external assessment is not possible, because external observers a re ofte n unable to fully consider important factors in the interpretation of infec tion rates.