Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Practical risk-adjusted quality control charts for infection control.

T L Gustafson1

  • 1Infection Control and Prevention Analysts, Inc, Austin, TX 78735, USA.

American Journal of Infection Control
|December 15, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hedgehog signaling is activated in canine transitional cell carcinoma and contributes to cell proliferation and survival.

Veterinary and comparative oncology·2015
Same author

Solubility enhancement and fluorescence quenching of pyrene by humic substances: the effect of dissolved oxygen on quenching processes.

Environmental science & technology·2011
Same author

Ha-Ras transformation of MCF10A cells leads to repression of Singleminded-2s through NOTCH and C/EBPbeta.

Oncogene·2009
Same author

The remarkable influence of M2delta to thienyl pi conjugation in oligothiophenes incorporating MM quadruple bonds.

Proceedings of the National Academy of Sciences of the United States of America·2008
Same author

Photosystem II peripheral accessory chlorophyll mutants in Chlamydomonas reinhardtii. Biochemical characterization and sensitivity to photo-inhibition.

Plant physiology·2001
Same author

Influence of core fucosylation on the flexibility of a biantennary N-linked oligosaccharide.

Biochemistry·1996

The Standardized Infection Ratio (SIR) improves infection control by providing risk-adjusted data, outperforming traditional charts. This makes control charts more practical for monitoring healthcare-associated infections.

Area of Science:

  • Healthcare quality improvement
  • Infection control surveillance
  • Statistical process control

Background:

  • Traditional control charts (P, U) have limitations in healthcare settings, particularly with small denominators and lack of risk adjustment.
  • The Standardized Infection Ratio (SIR) addresses these limitations by incorporating risk adjustment and increasing effective denominators.
  • Effective monitoring of healthcare-associated infections (HAIs) is crucial for patient safety and quality improvement.

Purpose of the Study:

  • To evaluate the performance of various control charts in monitoring healthcare-associated infections.
  • To compare unadjusted and risk-adjusted control charts using the Standardized Infection Ratio (SIR).
  • To identify optimal statistical techniques for practical infection control surveillance.

Main Methods:

Related Experiment Videos

  • Utilized data from the AICE National Database Initiative, including risk-stratified infection data from US hospitals.
  • Constructed run charts and compared the performance of 5 unadjusted and 11 risk-adjusted control charts.
  • Assessed chart performance using a gold standard of manually categorized flagged points from traditional hypothesis tests.

Main Results:

  • Unadjusted control charts (C, P, U) demonstrated poor sensitivity and specificity.
  • Risk-adjusted control charts, particularly the mXmR chart utilizing the SIR, showed significantly improved performance.
  • The mXmR chart achieved >80% sensitivity and specificity with a receiver operating characteristic area of 0.84.

Conclusions:

  • The Standardized Infection Ratio (SIR) is a valuable statistic for enhancing control chart utility in infection control.
  • Specific control chart techniques, like the mXmR chart, can make surveillance more practical and effective.
  • These findings support the adoption of risk-adjusted control charts for improved monitoring of healthcare-associated infections.