Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-24T14:55:35.240Z Has data issue: false hasContentIssue false

Building Data Quality and Confidence in Data Reported to the National Healthcare Safety Network

Published online by Cambridge University Press:  02 January 2015

Kathryn E. Arnold*
Affiliation:
Surveillance Branch, Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
Nicola D. Thompson
Affiliation:
Surveillance Branch, Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
*
Centers for Disease Control and Prevention, Surveillance Branch, Division of Healthcare Quality Promotion, 1600 Clifton Road, Mailstop A-24, Atlanta, GA 30333 ([email protected])

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Original Articles
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2012

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.Kainer, MA, Mitchell, J, Frost, BA, Soe, MM. Validation of central line associated blood stream infection (CLABSI) data submitted to the National Healthcare Safety Network (NHSN): a pilot study by the Tennessee Department of Health (TDH). In: Abstracts and scientific program, Fifth Decennial International Conference on Healthcare-Associated Infections. Atlanta, GA, March 18-22, 2010. Abstract 456.Google Scholar
2.Oh, JY, Cunningham, MC, Beldavs, ZG, et al. Statewide validation of hospital-reported central line-associated bloodstream infections: Oregon, 2009. Infect Control Hosp Epidemiol 2012;33(5): XXXXXX (in this issue).CrossRefGoogle ScholarPubMed
3.Backman, LA, Melchreit, R, Rodriguez, R. Validation of the surveillance and reporting of central line-associated bloodstream infection data to a state health department. Am J Infect Control 2010;38(10):832838.CrossRefGoogle ScholarPubMed
4.Haut, ER, Pronovost, PJ. Surveillance bias in outcomes reporting. JAMA 2011;305(23):24622463.CrossRefGoogle ScholarPubMed
5.Terris, DD, Litaker, DG. Data quality bias: an underrecognized source of misclassification in pay-for-performance reporting? Qual Manag Health Care 2008;17(1):1926.CrossRefGoogle ScholarPubMed
6.Soe, MM, Kainer, MA. Sustainable, cost-effective internal data validation of healthcare associated infections surveillance reported to the National Healthcare Safety Network (NHSN). In: Abstracts and scientific program, Fifth Decennial International Conference on Healthcare-Associated Infections. Atlanta, GA, March 18-22, 2010. Abstract 81.Google Scholar
7.Chernetsky Tejador, SG, Garrett, G, Jacob, J, et al. Electronic documentation of central line-days: validation is essential. In: Abstracts and program of the 21st Annual Scientific Meeting of the Society for Healthcare Epidemiology of America (SHEA). Dallas, TX, April 1-1, 2011. Abstract 308.Google Scholar
8.Mayer, J, Howell, J, Green, T, et al. Assessing inter-rater reliability (IRR) of surveillance decisions by infection preventionists (IPs). In: Abstracts and scientific program, Fifth Decennial International Conference on Healthcare-Associated Infections. Atlanta, GA, March 18-22, 2010. Abstract 79.Google Scholar
9.Malpiedi, P, Hota, B, Magill, S, et al. Interobserver variability in bloodstream infection determinations using National Healthcare Safety Network definitions. In: Abstracts and program of the 21st Annual Scientific Meeting of the Society for Healthcare Epidemiology of America (SHEA). Dallas, TX, April 1-1, 2011. Abstract 305.Google Scholar
10.Mayer, J, Weir, CR, Greene, T, et al. Use of electronic reporting and annotations by infection preventionists (IPs) to describe differences in the application of surveillance criteria. In: Abstracts and program of the 21st Annual Scientific Meeting of the Society for Healthcare Epidemiology of America (SHEA). Dallas, TX, April 1-4, 2011. Abstract 573.Google Scholar
11.Hazamy, PA, VanAntwerpen, C, Tserenpuntsag, B, et al. Determining accuracy of CLABSI data submission for public reporting hospital-acquired infections in New York State from 2007-2009. Am J Infect Control 2011; 39(5):E132E133.CrossRefGoogle Scholar