Association of National Healthcare Safety Network–Defined Catheter-Associated Urinary Tract Infections With Alternate Sources of Fever

2015 ◽  
Vol 36 (10) ◽  
pp. 1236-1238 ◽  
Author(s):  
Surbhi Leekha ◽  
Michael Anne Preas ◽  
Joan Hebden
Keyword(s):  
Urinary Tract ◽  
Annual Meeting ◽  
Urinary Tract Infections ◽  
Infect Control Hosp ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Tract Infections ◽  
Healthcare Epidemiology

Presented in part: 20th Annual Meeting of the Society for Healthcare Epidemiology of America; Dallas, Texas; April 1–4, 2011.Infect Control Hosp Epidemiol 2015;36(10):1236–1238

scholarly journals Targeted Assessment for Prevention of Healthcare-Associated Infections: A New Prioritization Metric

2015 ◽  
Vol 36 (12) ◽  
pp. 1379-1384 ◽  
Author(s):  
Minn M. Soe ◽  
Carolyn V. Gould ◽  
Daniel Pollock ◽  
Jonathan Edwards
Keyword(s):  
Urinary Tract Infection ◽  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Healthcare Associated Infections ◽  
Healthcare Facilities ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Infection Reduction ◽  
Tract Infections ◽  
Healthcare Associated

OBJECTIVETo develop a method for calculating the number of healthcare-associated infections (HAIs) that must be prevented to reach a HAI reduction goal and identifying and prioritizing healthcare facilities where the largest reductions can be achieved.SETTINGAcute care hospitals that report HAI data to the Centers for Disease Control and Prevention’s National Healthcare Safety Network.METHODSThe cumulative attributable difference (CAD) is calculated by subtracting a numerical prevention target from an observed number of HAIs. The prevention target is the product of the predicted number of HAIs and a standardized infection ratio goal, which represents a HAI reduction goal. The CAD is a numeric value that if positive is the number of infections to prevent to reach the HAI reduction goal. We calculated the CAD for catheter-associated urinary tract infections for each of the 3,639 hospitals that reported such data to National Healthcare Safety Network in 2013 and ranked the hospitals by their CAD values in descending order.RESULTSOf 1,578 hospitals with positive CAD values, preventing 10,040 catheter-associated urinary tract infections at 293 hospitals (19%) with the highest CAD would enable achievement of the national 25% catheter-associated urinary tract infection reduction goal.CONCLUSIONThe CAD is a new metric that facilitates ranking of facilities, and locations within facilities, to prioritize HAI prevention efforts where the greatest impact can be achieved toward a HAI reduction goal.Infect. Control Hosp. Epidemiol. 2015;36(12):1379–1384

Accuracy of catheter-associated urinary tract infections reported to the National Healthcare Safety Network, January 2010 through July 2018

2020 ◽  
Vol 48 (2) ◽  
pp. 207-211
Author(s):  
Suparna Bagchi ◽  
Jennifer Watkins ◽  
Bonnie Norrick ◽  
Eileen Scalise ◽  
Daniel A. Pollock ◽  
...  
Keyword(s):  
Urinary Tract ◽  
Urinary Tract Infections ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Tract Infections

scholarly journals Measuring Antibiotic Appropriateness for Urinary Tract Infections in Nursing Home Residents

2017 ◽  
Vol 38 (8) ◽  
pp. 998-1001 ◽  
Author(s):  
Taniece Eure ◽  
Lisa L. LaPlace ◽  
Richard Melchreit ◽  
Meghan Maloney ◽  
Ruth Lynfield ◽  
...  
Keyword(s):  
Urinary Tract Infection ◽  
Nursing Home ◽  
Urinary Tract ◽  
Tract Infection ◽  
Urinary Tract Infections ◽  
Nursing Home Residents ◽  
Infect Control Hosp ◽  
Antibiotic Prescribing ◽  
Appropriate Use ◽  
Tract Infections

We assessed the appropriateness of initiating antibiotics in 49 nursing home (NH) residents receiving antibiotics for urinary tract infection (UTI) using 3 published algorithms. Overall, 16 residents (32%) received prophylaxis, and among the 33 receiving treatment, the percentage of appropriate use ranged from 15% to 45%. Opportunities exist for improving UTI antibiotic prescribing in NH.Infect Control Hosp Epidemiol 2017;38:998–1001

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