Evaluating the Accuracy of Sampling Strategies for Estimation of Compliance Rate for Ventilator-Associated Pneumonia Process Measures. (20th June 2016)

• Record Type: Journal Article
• Authors: Diehl, Adam; Yang, Ting; Speck, Kathleen; Battles, James; Cosgrove, Sara E.; Berenholtz, Sean; Klompas, Michael
• Is Part Of: Infection control and hospital epidemiology. Volume 37:Number 9(2016)
• Page Start: 1037
• Page End: 1043
• Publication Date: 2016-06-20
• Subjects: Nosocomial infections -- Epidemiology -- Periodicals; Health facilities -- Sanitation -- Periodicals; Hospital buildings -- Sanitation -- Periodicals; Cross Infection -- Periodicals; Epidemiology -- Periodicals; Hospitals -- Periodicals; Infection Control -- Periodicals; 614.44
• DOI: 10.1017/ice.2016.136
• Languages: English
• ISSNs: 0899-823X

Abstract

Abstract : BACKGROUND: Measuring processes of care performance rates is an invaluable tool for quality improvement; however, collecting daily process measure data is time-consuming and burdensome. OBJECTIVE: To evaluate the accuracy of sampling strategies to estimate monthly compliance rates with ventilator-associated pneumonia prevention measures. SETTING AND PARTICIPANTS: A total of 37 intensive care units affiliated with 29 hospitals participating in a 2-state 35-month ventilator-associated pneumonia prevention collaborative. Analysis was limited to 325 unit-months with complete data entry rates. METHODS: We calculated unit-month level actual and sample monthly compliance rates for 6 ventilator-associated pneumonia prevention measures, using 4 sampling strategies: sample 1 day per month, sample 1 day per week, sample 7 consecutive days per month, and sample 7 consecutive days per month plus additional consecutive days as necessary to obtain at least 30 ventilator-days for that month whenever possible. We compared sample versus actual rates using paired t test and χ 2 test. RESULTS: Mean sampling accuracy ranged 84%–97% for 1 day per month, 91%–98% for 1 day per week, 92%–98% for 7 consecutive days per month, and 96%–99% for 7 consecutive days with at least 30 days per month if possible. The most accurate sampling strategy was to sample 7 consecutive days with at least 30 ventilator-days per month if possible. With this strategy, sample rates were within 10% of actual rates in 88%–99% of unit-months and within 5% of actual rates in 74%–97% of unit-months. CONCLUSION: Sampling process measures intermittently rather than continually can yield accurate estimates of process measure performance rates. Infect Control Hosp Epidemiol 2016;37:1037–1043