Highlights
- •Central line-associated bloodstream infections (CLABSI) rates were seen to increase nationwide during the COVID pandemic.
- •Cognitive-science based training can be an effective learning strategy for adults.
- •Cognitive-science based training can help decrease CLABSI rates.
There have been many tactics throughout the years aimed at reducing central line-associated
bloodstream infections (CLABSI) in the healthcare setting. To reduce CLABSI rates
at this facility, we employed cognitive science-based online training directed at
nursing departments. Following implementation, we found significant reductions in
CLABSI rates that were sustained for a minimum of 9 months. These results demonstrate
that this learning methodology can be used to help decrease CLABSI and potentially
other health care-associated infections.
Key Words
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References
- Estimating the Additional Hospital Inpatient Cost and Mortality Associated With Selected Hospital-Acquired Conditions.2017 (Accessed December 1, 2021)
- Vital signs: central line-associated blood stream infections–United States, 2001, 2008, and 2009.MMWR Morb Mortal Wkly Rep. 2011; 60: 243-248
- The impact of coronavirus disease 2019 (COVID-19) on healthcare-associated infections in 2020: A summary of data reported to the National Healthcare Safety Network.Infect Control Hosp Epidemiol. 2022; 43: 12-25
- A compendium of strategies to prevent healthcare-associated infections in acute care hospitals: 2014 updates.Infect Control Hosp Epidemiol. 2014; 35: S21-S31
- Leveraging cognitive science and artificial intelligence to save lives.in: International Conference on Artificial Intelligence in Education, Springer, Cham2019: 386-391
- Coronavirus disease 2019 (COVID-19) pandemic, central-line-associated bloodstream infection (CLABSI), and catheter-associated urinary tract infection (CAUTI): The urgent need to refocus on hardwiring prevention efforts.Infect Control Hosp Epidemiol. 2022; 43: 26-31
Article info
Publication history
Published online: March 16, 2022
Footnotes
Conflict of Interest: Matthew Jensen Hays, PhD, is an employee of Amplifire, the software platform used to deliver the training. He is salaried; there is no direct monetary benefit to him from the work described or the publication thereof.
This quality improvement project was determined exempt from human subjects review by the systems' Institutional Review Board.
Identification
Copyright
© 2022 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.
