scholarly journals The prevention of healthcare associated urinary tract infections from the point of view of nursing care

Kontakt ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 135-143
Author(s):  
Jitka Krocová ◽  
Radka Prokešová ◽  
Jana Horová
Keyword(s):  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Nursing Care ◽  
Point Of View ◽  
Tract Infections ◽  
Healthcare Associated

Bacteremia due to healthcare-associated urinary tract infections in children

2021 ◽  
Vol 28 (2) ◽  
pp. 147-149
Author(s):  
F. Devrim ◽  
İ. Çağlar ◽  
N. Demiray ◽  
Y. Oruç ◽  
Y. Ayhan ◽  
...  
Keyword(s):  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Tract Infections ◽  
Healthcare Associated

scholarly journals 2107. Decision Trees vs. Neural Networks for Supervised Machine Learning-Based Prediction of Healthcare-Associated Urinary Tract Infections

2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S618-S618
Author(s):  
Philip Zachariah ◽  
Elioth Mirsha Sanabria Buenaventura ◽  
Jianfang Liu ◽  
Bevin Cohen ◽  
David Yao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Urinary Tract ◽  
Decision Trees ◽  
Urinary Tract Infections ◽  
Supervised Machine Learning ◽  
Tract Infections ◽  
Healthcare Associated

Development and evaluation of a website for surveillance of healthcare-associated urinary tract infections in Australia

2018 ◽  
Vol 99 (1) ◽  
pp. 98-102
Author(s):  
O. Fasugba ◽  
J. Koerner ◽  
N. Bennett ◽  
S. Burrell ◽  
R. Laguitan ◽  
...  
Keyword(s):  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Tract Infections ◽  
Healthcare Associated

scholarly journals 1152. Implementation of Enhanced Data Surveillance Methods to Reduce Catheter-Associated Urinary Tract Infections

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S411-S411
Author(s):  
Jordan Ehni ◽  
Marie Moss ◽  
Brian Koll ◽  
Dana Mazo ◽  
Waleed Javaid ◽  
...  
Keyword(s):  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Surveillance System ◽  
Urinary Flow ◽  
Flow Sheet ◽  
Care Hospital ◽  
Electronic Surveillance ◽  
Tract Infections ◽  
Healthcare Associated ◽  
E Mail

Abstract Background Urinary tract infections (UTIs) continue to be one of the most common types of healthcare-associated infections (HAIs). Instrumentation of the urinary tract using devices such as indwelling urinary catheters (IUCs) is the leading cause of healthcare-associated UTIs. Every day that a patient has an IUC increases their risk of acquiring a UTI. After an increase in the number of catheter-associated urinary tract infections (CAUTIs), a mid-sized acute care hospital in the Northeast United States used an electronic surveillance system to monitor IUC order compliance and appropriateness in order to reduce IUC utilization and prevent CAUTIs. Methods Using an Infection Prevention (IP) electronic surveillance system, a line list was generated of patients who had an IUC documented in the urinary flow sheet of their electronic medical record. This list contained variables such as: catheter insert date, catheter order status, and catheter indication. IP staff sent this list in a daily e-mail to clinical leadership and front line staff over a 14 month period. The e-mail notified providers when their patients had an IUC without an order. Clinical staff was directed to discontinue the IUC if it was no longer indicated or to place a new IUC order if still indicated. The National Healthcare Safety Network (NHSN) CAUTI definition and data functions were used for the purposes of this study. Results A statistically significant (P = 0.017) reduction in the hospital CAUTI rate was found when a comparison was made between the 14-month pre-intervention baseline period (1.12 CAUTI per 1,000 catheter days) and the 14 month post-intervention period (0.29 CAUTI per 1,000 catheter days). A statistically significant decrease (P = 0.0004) in IUC utilization was also noted for the same time period, decreasing from 8.2 catheters per 100 patient-days to 7.8 catheters per 100 patient-days. Conclusion A significant reduction in CAUTIs and IUC utilization was seen over the 14-month IP-driven e-mail intervention. This study suggests that regular electronic communication of surveillance system information to providers may reduce CAUTIs. Disclosures All authors: No reported disclosures.

Infections in Australian Aged-Care Facilities: Evaluating the Impact of Revised McGeer Criteria for Surveillance of Urinary Tract Infections

2016 ◽  
Vol 37 (5) ◽  
pp. 610-612 ◽  
Author(s):  
Noleen J. Bennett ◽  
Sandra A. Johnson ◽  
Michael J. Richards ◽  
Mary A. Smith ◽  
Leon J. Worth
Keyword(s):  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Aged Care ◽  
Infect Control Hosp ◽  
Healthcare Associated Infections ◽  
Care Facilities ◽  
Aged Care Facilities ◽  
Tract Infections ◽  
Healthcare Associated ◽  
The Impact

Our survey of 112 Australian aged-care facilities demonstrated the prevalence of healthcare-associated infections to be 2.9%. Urinary tract infections (UTIs) defined by McGeer criteria comprised 35% of all clinically defined UTIs. To estimate the infection burden in these facilities where microbiologic testing is not routine, modified surveillance criteria for UTIs are necessary.Infect Control Hosp Epidemiol 2016;37:610–612

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