Factors associated with health care-acquired urinary tract infection

Background Health care-acquired urinary tract infection is common, and the risk factors should be understood by those who manage hospitalized patients and researchers interested in interventions and programs designed to reduce rates. Methods We used multivariable logistic regression to identify fact...

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Bibliographic Details
Published in:American journal of infection control 2007-08, Vol.35 (6), p.387-392
Main Authors: Graves, Nicholas, PhD, Tong, Edward, BS (Hons), Morton, Anthony P., MScAppl, Halton, Kate, MSc, Curtis, Merrilyn, MPH, Lairson, David, PhD, Whitby, Michael, MPH
Format: Article
Language:English
Subjects:
Aged
Biological and medical sciences
Cohort Studies
Cross Infection - epidemiology
Epidemiology. Vaccinations
Female
General aspects
Human infectious diseases. Experimental studies and models
Humans
Infection Control
Infectious Disease
Infectious diseases
Length of Stay
Male
Medical sciences
Middle Aged
Odds Ratio
Patient Transfer
Queensland
Regression Analysis
Risk Factors
ROC Curve
Sex Factors
Urinary Catheterization - adverse effects
Urinary Tract Infections - epidemiology
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Summary:Background Health care-acquired urinary tract infection is common, and the risk factors should be understood by those who manage hospitalized patients and researchers interested in interventions and programs designed to reduce rates. Methods We used multivariable logistic regression to identify factors that demonstrated a statistical association with infection. Results The incidence rate for infection was 1.66%, and risks increased for patients with prolonged length of stay (odd ratio [OR], 5.28; 95% confidence interval [CI]: 2.46-11.34), urinary catheter (OR, 5.16; 95% CI: 2.84-9.36), unresolved spinal injury (OR, 4.07; 95% CI: 1.04-15.92), transfer to/from another hospital (OR, 2.9; 95% CI: 1.39-6.04), some assistance for daily living prior to admission (OR, 2.58; 95% CI: 1.51-4.41), underlying neurologic disease (OR, 2.59; 95% CI: 1.49-4.49), previous stroke (OR, 1.94; 95% CI: 1.03-3.67), and fracture or dislocation on admission (OR, 3.34; 95% CI: 1.75-6.38). Male sex was protective (OR, 0.44; 95% CI: 0.26-0.77). Conclusion Our data describe a general hospital population and therefore have relevance to many hospital-based health care professionals. The statistical model is a good fit to the data and has good predictive power. We identify high-risk groups and confirm the need for good decision making for managing the risks of health care-acquired urinary tract infection. This requires information on the effectiveness of risk-reducing strategies and the changes to economic costs and health benefits that result and the synthesis of these data in appropriately designed economic models.
ISSN:0196-6553
1527-3296
DOI:10.1016/j.ajic.2006.09.006