Literature DB >> 21460513

SIR, you've led me astray!

David Birnbaum1, Roxie Zarate, Anthony Marfin.   

Abstract

BACKGROUND: The standardized infection ratio (SIR) is an indirectly standardized morbidity ratio that has been used to compare the infection rate in a hospital with an expected number of infections from a national standard and is being increasingly promoted as a metric for the public reporting of healthcare-associated infections (HAIs).
OBJECTIVE: To identify potential discrepancies between SIR and other measures of risk.
METHODS: Hypothetical and real data were compared using relative risk, a directly standardized morbidity ratio, and SIR values across a range of varying hospital population compositions.
RESULTS: In real and hypothetical data, other summary statistics were consistent with each other and with underlying HAI incidence density rates. However, use of the SIR frequently led to conclusions inconsistent with these other inherently unbiased estimators.
CONCLUSION: Because of a recognized type of distortion inherent in the calculation of indirectly standardized ratios, use of the SIR can lead to conclusions that differ from those reached when using other traditional measures of risk and to incorrect assessments of conclusions about the performance of hospitals or states. In addition, the tendency to inappropriately arrange SIR values in rank order for comparison makes SIR unsuitable as a statewide metric for monitoring HAIs.

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Year:  2011        PMID: 21460513     DOI: 10.1086/658331

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  2 in total

1.  Indirect Versus Direct Standardization Methods for Reporting Healthcare-Associated Infections: An Analysis of Central Line-Associated Bloodstream Infections in Maryland.

Authors:  Lyndsay M O'Hara; Max Masnick; Surbhi Leekha; Sarah S Jackson; Natalia Blanco; Anthony D Harris
Journal:  Infect Control Hosp Epidemiol       Date:  2017-06-19       Impact factor: 3.254

2.  Can inpatient hospital experiences predict central line-associated bloodstream infections?

Authors:  Daniel M Saman; Kevin T Kavanagh; Brian Johnson; M Nawal Lutfiyya
Journal:  PLoS One       Date:  2013-04-05       Impact factor: 3.240

  2 in total

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