Effect of Time of Daily Data Collection on the Calculation of Catheter-associated Urinary Tract Infection Rates. Issue 5 (September 2021)

• Record Type: Journal Article
• Authors: Donnelly, Lane F.; Wood, Matthew; Loh, Ling; Tekic, Natasa; Shin, Andrew Y.; Scheinker, David
• Is Part Of: Pediatric quality & safety. Volume 6:Issue 5(2021)
• Publication Date: 2021-09
• Subjects: Pediatric nursing -- Periodicals; Pediatrics -- Periodicals; Patients -- Safety measures -- Periodicals; Children -- Hospital care -- Periodicals; 618.92
• DOI: 10.1097/pq9.0000000000000466
• Languages: English
• ISSNs: 2472-0054

Abstract

Abstract : Introduction: According to the National Healthcare Safety Network (NHSN) definitions for Catheter-associated urinary tract infections (CAUTI) rates, determination of the number of urinary catheter days must occur by calculating the number of catheters in place "for each day of the month, at the same time of day" but does not define at what time of day this occurs. The purpose of this review was to determine if a data collection time of 11 AM would yield a greater collection of urinary catheter days than that done at midnight. Methods: During a 20-month period, the number of urinary catheter days was calculated using once-a-day electronic measurements to identify a urinary catheter presence. We used data collected at 11 AM and collected at midnight (our historic default) in comparing the calculated urinary catheter days and resultant CAUTI rates. Results: There were 7, 548 patients who had a urinary tract catheter. The number of urinary catheter days captured using the 11 AM collection time was 15, 425, and using the midnight collection time was 10, 234, resulting in a 50.7% increase. The CAUTI rate per 1, 000 urinary catheter days calculated using the 11 AM collection method was 0.58, and using the midnight collection method was 0.88, a reduced CAUTI rate of 33.6%. Conclusion: The data collection time can significantly impact the calculation of urinary catheter days and on calculated CAUTI rates. Variations in how healthcare systems define their denominator per current National Healthcare Safety Network policy may result in significant differences in reported rates.