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Hospital adoption of automated surveillance technology and the implementation of infection prevention and control
Helen Halpin1, Stephen M Shortell, Arnold Milstein
1School of Public Health, University of California, Berkeley, CA 94720-7360, USA. Helenhs@berkeley.edu
Background:
This research analyzes the relationship between hospital use of automated surveillance technology (AST) for identification and control of hospital-acquired infections (HAI) and implementation of evidence-based infection control practices. Our hypothesis is that hospitals that use AST have made more progress implementing infection control practices than hospitals that rely on manual surveillance.
Methods:
A survey of all acute general care hospitals in California was conducted from October 2008 through January 2009. A structured computer-assisted telephone interview was conducted with the quality director of each hospital. The final sample includes 241 general acute care hospitals (response rate, 83%).
Results:
Approximately one third (32.4%) of California's hospitals use AST for monitoring HAI. Adoption of AST is statistically significant and positively associated with the depth of implementation of evidence-based practices for methicillin-resistant Staphylococcus aureus and ventilator-associated pneumonia and adoption of contact precautions and surgical care infection practices. Use of AST is also statistically significantly associated with the breadth of hospital implementation of evidence-based practices across all 5 targeted HAI.
Conclusion:
Our findings suggest that hospitals using AST can achieve greater depth and breadth in implementing evidenced-based infection control practices.
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