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Comparative Study
. 2018 Jun;39(6):737-740.
doi: 10.1017/ice.2018.53. Epub 2018 Apr 12.

Reduced Clostridium difficile Tests and Laboratory-Identified Events With a Computerized Clinical Decision Support Tool and Financial Incentive

Gregory R Madden  1 , Ian German Mesner  2 , Heather L Cox  1 , Amy J Mathers  1 , Jason A Lyman  3 , Costi D Sifri  1 , Kyle B Enfield  4
Affiliations
Comparative Study

Reduced Clostridium difficile Tests and Laboratory-Identified Events With a Computerized Clinical Decision Support Tool and Financial Incentive

Gregory R Madden et al. Infect Control Hosp Epidemiol. 2018 Jun.

Abstract

We hypothesized that a computerized clinical decision support tool for Clostridium difficile testing would reduce unnecessary inpatient tests, resulting in fewer laboratory-identified events. Census-adjusted interrupted time-series analyses demonstrated significant reductions of 41% fewer tests and 31% fewer hospital-onset C. difficile infection laboratory-identified events following this intervention.Infect Control Hosp Epidemiol 2018;39:737-740.

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Figures

FIGURE 1
FIGURE 1
Two-part clinical decision support algorithm. NOTE. NAAT, nucleic acid amplification test for Clostridium difficile; C. diff, C. difficile; PPV, positive predictive value; WBC, white blood cell count.
FIGURE 2
FIGURE 2
Monthly C. difficile tests and hospital-onset C. difficile infection (HO-CDI) laboratory-identified (LabID) events detected with CCDS tool pre- and postintervention. (a) Monthly rates of test results. (b) Trends of monthly HO-CDI rates over the same period. The dotted line depicts predicted values using the quasi-Poisson model.
See this image and copyright information in PMC

References

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