Literature DB >> 23498552

Assessment of the quality of publicly reported central line-associated bloodstream infection data in Colorado, 2010.

Karen L Rich1, Sara M Reese, Kirk A Bol, Heather M Gilmartin, Tara Janosz.   

Abstract

BACKGROUND: Validation of self-reported health care-associated infection data is essential to verify correct understanding of definition criteria, surveillance practices, and reporting integrity. Recent studies have found significant under-reporting of central line-associated bloodstream infections (CLABSI) leading Colorado Department of Public Health and Environment to examine the quality of Colorado's CLABSI data.
METHODS: Trained Colorado Department of Public Health and Environment staff members performed onsite validation visits that included interviews with infection preventionists to assess surveillance practices and retrospective chart reviews of patients with positive blood cultures in specific intensive care units (adult and neonatal) and long-term acute care hospitals during the first quarter of 2010.
RESULTS: Fifty-five CLABSIs from the original sample were identified; 33 (60%) in the adult intensive care unit, 7 (12.7%) in the neonatal intensive care unit, and 15 (27.3%) in the long-term acute care hospital. Of the 55 CLABSIs identified by reviewers, 18 (32.7%) were not reported by the hospitals, 37 CLABSIs (67.3%) were reported correctly into the National Healthcare Safety Network, and 1 CLABSI was over-reported.
CONCLUSIONS: There was wide variation noted in surveillance practices as well as in application of definition criteria. With 33% under-reported cases, it was concluded that ongoing validation of health care-associated infection data is necessary. Published by Mosby, Inc.

Entities:  

Keywords:  Data validation; Health care-associated infection; Infection preventionist; National Healthcare Safety Network; Surveillance practices

Mesh:

Year:  2013        PMID: 23498552     DOI: 10.1016/j.ajic.2012.12.014

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN: 0196-6553            Impact factor:   2.918


  3 in total

1.  Capturing the Central Line Bundle Infection Prevention Interventions: Comparison of Reflective and Composite Modeling Methods.

Authors:  Heather M Gilmartin; Karen H Sousa; Catherine Battaglia
Journal:  Nurs Res       Date:  2016 Sep-Oct       Impact factor: 2.381

2.  Differences in identifying healthcare associated infections using clinical vignettes and the influence of respondent characteristics: a cross-sectional survey of Australian infection prevention staff.

Authors:  Philip L Russo; Adrian G Barnett; Allen C Cheng; Michael Richards; Nicholas Graves; Lisa Hall
Journal:  Antimicrob Resist Infect Control       Date:  2015-07-19       Impact factor: 4.887

3.  Central line associated blood stream infection rate after intervention and comparing outcome with national healthcare safety network and international nosocomial infection control consortium data.

Authors:  Sz Bukhari; A Banjar; Ss Baghdadi; Ba Baltow; Am Ashshi; Wm Hussain
Journal:  Ann Med Health Sci Res       Date:  2014-09
  3 in total

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