Collaborative cohort study of an intervention to reduce ventilator-associated pneumonia in the intensive care unit

SM Berenholtz, JC Pham, DA Thompson… - Infection Control & …, 2011 - cambridge.org
SM Berenholtz, JC Pham, DA Thompson, DM Needham, LH Lubomski, RC Hyzy, R Welsh…
Infection Control & Hospital Epidemiology, 2011cambridge.org
Objective. To evaluate the impact of a multifaceted intervention on compliance with evidence-
based therapies and ventilator-associated pneumonia (VAP) rates. Design. Collaborative
cohort before-after study. Setting. Intensive care units (ICUs) predominantly in Michigan.
Interventions. We implemented a multifaceted intervention to improve compliance with 5
evidence-based recommendations for mechanically ventilated patients and to prevent VAP.
A standardized CDC definition of VAP was used and maintained at each site, and data on …
Objective
To evaluate the impact of a multifaceted intervention on compliance with evidence-based therapies and ventilator-associated pneumonia (VAP) rates.
Design
Collaborative cohort before-after study.
Setting
Intensive care units (ICUs) predominantly in Michigan.
Interventions
We implemented a multifaceted intervention to improve compliance with 5 evidence-based recommendations for mechanically ventilated patients and to prevent VAP. A standardized CDC definition of VAP was used and maintained at each site, and data on the number of VAPs and ventilator-days were obtained from the hospital's infection preventionists. Baseline data were reported and postimplementation data were reported for 30 months. VAP rates (in cases per 1,000 ventilator-days) were calculated as the proportion of ventilator-days per quarter in which patients received all 5 therapies in the ventilator care bundle. Two interventions to improve safety culture and communication were implemented first.
Results
One hundred twelve ICUs reporting 3,228 ICU-months and 550,800 ventilator-days were included. The overall median VAP rate decreased from 5.5 cases (mean, 6.9 cases) per 1,000 ventilator-days at baseline to 0 cases (mean, 3.4 cases) at 16–18 months after implementation (P < .001) and 0 cases (mean, 2.4 cases) at 28-30 months after implementation (P < .001). Compared to baseline, VAP rates decreased during all observation periods, with incidence rate ratios of 0.51 (95% confidence interval, 0.41–0.64) at 16–18 months after implementation and 0.29 (95% confidence interval, 0.24–0.34) at 28–30 months after implementation. Compliance with evidence-based therapies increased from 32% at baseline to 75% at 16–18 months after implementation (P < .001) and 84% at 28–30 months after implementation (P < .001).
Conclusions
A multifaceted intervention was associated with an increased use of evidence-based therapies and a substantial (up to 71%) and sustained (up to 2.5 years) decrease in VAP rates.
Cambridge University Press
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