Promoting prevention through meaningful measures: improving the Centers for Disease Control and Prevention's National Healthcare Safety Network urinary tract infection surveillance definitions

Effect of a urine culture stewardship initiative on urine culture utilization and catheter-associated urinary tract infections in intensive care units

OBJECTIVE

Urine cultures have poor specificity for catheter-associated urinary tract infections (CAUTIs). We evaluated the effect of a urine-culture stewardship program on urine culture utilization and CAUTI in adult intensive care units (ICUs).

DESIGN

A quasi-interventional study was performed from 2015 to 2017.

SETTING AND PATIENTS

The study cohort comprised 21,367 patients admitted to the ICU at a teaching hospital.

INTERVENTION

The urine culture stewardship program included monthly 1-hour discussions with ICU house staff emphasizing avoidance of "pan-culture" for sepsis workup and obtaining urine culture only if a urinary source of sepsis is suspected. The urine culture utilization rate metric (UCUR; ie, no. urine cultueres/catheter days ×100) was utilized to measure the effect. Monthly UCUR, catheter utilization ratio (CUR), and CAUTI rate were reported on an interactive quality dashboard. To ensure safety, catheterized ICU patients (2015-2016) were evaluated for 30-day readmission for UTI. Time-series data and relationships were analyzed using Spearman correlation coefficients and regression analysis.

RESULTS

Urine culture utilization decreased from 3,081 in 2015 to 2,158 in 2016 to 1,218 in 2017. CAUTIs decreased from 78 in 2015 to 60 in 2016 and 28 in 2017. Regression analysis over time showed significant decreases in UCUR (r, 0.917; P < .0001) and CAUTI rate (r, 0.657; P < .0001). The co-correlation between UCUR and CAUTI rate was (r, 0.625; P < .0001) compared to CUR and CAUTI rate (r, 0.523; P = .004). None of these patients was readmitted with a CAUTI.

CONCLUSIONS

Urine culture stewardship program was effective and safe in reducing UC overutilization and was correlated with a decrease in CAUTIs. Addition of urine-culture stewardship to standard best practices could reduce CAUTI in ICUs.

Impact of modified CDC/NHSN surveillance definition on the incidence of CAUTI: a study from an Indian tertiary care hospital

Introduction

Catheter-associated urinary tract infections (CAUTIs) are one of the most common infections encountered in healthcare settings. Candida spp. were excluded as the causative agents of CAUTIs as per Centres for Disease Control and Prevention (CDC) and National Healthcare Safety Network (NHSN) definitions in 2015.

Aim

To determine the impact of the 2015 definition change on the CAUTI rate of patients admitted to medical and surgical intensive care units (ICUs) of a tertiary care and teaching hospital in India.

Method

CAUTI rates were compared in both the ICUs over a period of two years with inclusion and exclusion of Candida spp.

Results

Out of the total 116 CAUTI episodes during the study period, a mean of 9.08 CAUTIs per 1000 catheter days were observed in both the ICUs when Candida spp. were included, but the mean CAUTI rate was reduced to 4.78/1000 catheter days when Candida spp. were excluded.

Discussion/Conclusion

The mean CAUTI rate decreased by 46.03% solely by excluding Candida spp. This significant reduction in CAUTI rates may be applicable to institutions having high rates of candiduria in catheterised patients, but may not be applicable in centres where the incidence of candiduria is already low. Disregarding Candida as a causative agent of CAUTI did not impact rates of central line-associated bloodstream infections during the study period.

Accuracy of catheter-associated urinary tract infections reported to the National Healthcare Safety Network, January 2010 through July 2018

BACKGROUND

Surveillance of health care-associated, catheter-associated urinary tract infections (CAUTI) are the corner stone of infection prevention activity. The Centers for Disease Control and Prevention's National Healthcare Safety Network provides standard definitions for CAUTI surveillance, which have been updated periodically to increase objectivity, credibility, and reliability of urinary tract infection definitions. Several state health departments have validated CAUTI data that provided insights into accuracy of CAUTI reporting and adherence to CAUTI definition.

METHODS

Data accuracy measures included pooled mean sensitivity, specificity, positive predictive value, and negative predictive value. Total CAUTI error rate was computed as proportion of mismatches among total records. The impact of 2015 CAUTI definition changes were tested by comparing pooled accuracy estimates of validations prior to 2015 with post-2015.

RESULTS

At least 19 state health departments conducted CAUTI validations and indicated pooled mean sensitivity of 88.3%, specificity of 98.8%, positive predictive value of 93.6%, and negative predictive value of 97.6% of CAUTI reporting to the National Healthcare Safety Network. Among CAUTIs misclassified (121), 66% were underreported and 34% were overreported. CAUTI classification error rate declined significantly from 4.3% (pre-2015) to 2.4% (post-2015). Reasons for CAUTI misclassifications included: misapplication of CAUTI definition, misapplication of general health care-associated infection definitions, and clinical judgement over surveillance definition.

CONCLUSIONS

CAUTI underreporting is a major concern; validations provide transparency, education, and relationship building to improve reporting accuracy.

Visualizing Infection Surveillance Data for Policymaking Using Open Source Dashboarding

BACKGROUND

Health care-associated infections, specifically catheter-associated urinary tract infections (CAUTIs), can cause significant mortality and morbidity. However, the process of collecting CAUTI surveillance data, storing it, and visualizing the data to inform health policy has been fraught with challenges.

OBJECTIVES

No standard has been developed, so the objective of this article is to present a prototype solution for dashboarding public health surveillance data based on a real-life use-case for the purposes of enhancing clinical and policy-level decision-making.

METHODS

The solution was developed in open source software R, which allows for the creation of dashboard applications using the integrated development environment developed for R called RStudio, and a package for R called Rshiny. How the surveillance system was designed, why R was chosen, how the dashboard was developed, and how the dashboard features were programmed and function will be described.

RESULTS

The prototype dashboard includes multiple tabs for visualizing data, and allows the user to interact with the data by setting dynamic filters. Controls were used to facilitate the interaction between the user and application. Rshiny is reactive, in that when the user (e.g., clinician or policymaker) changes the parameters on the data, the application automatically updates the visualization as well as parameters available based on current filters.

CONCLUSION

The prototype dashboard has the potential to enhance clinical and policy-level decision-making because it facilitates interaction with the data that provides useful visualizations to provide such guidance.

Impact and Limitations of the 2015 National Health and Safety Network Case Definition on Catheter-Associated Urinary Tract Infection Rates

Application of the new 2015 NHSN definition of catheter-associated urinary tract infection (CAUTI) in intensive care units reduced CAUTI rates by ~50%, primarily due to exclusion of candiduria. This significant reduction in CAUTI rates resulting from the changes in the definition must be considered when evaluating effectiveness of CAUTI prevention programs. Infect Control Hosp Epidemiol 2017;38:239-241.