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In the United States, many hospitalized patients with indwelling urinary catheters acquire catheter-associated urinary tract infections (CAUTI) during their hospital stay. CAUTI negatively affects peoples' health and quality of life and causes a financial burden to individuals and the nation. The purpose of this quantitative cross-sectional study was to explore the relationship between gender, age, and hospital types and CAUTI incidence in New York and North Carolina over a 3-year period. The theoretical framework of choice was the Donabedian model. Simple logistic regression and hierarchical multivariable logistic regression analysis were performed on archival data that was requested from Healthcare Cost and Utilization Project (HCUP) agency. According to the findings, males (n = 61,040) were at a higher risk of developing CAUTI compared to female (n = 66,792) (p < .001) in New York and North Carolina between 2012 and 2014. The odds of getting CAUTI were much higher among age > = 45 compared to the < 17 years. These findings fit in with previous literature identifying age and gender as having a significant relationship with CAUTI occurrence. The outcomes in this study may guide the formulation of policies that are age-appropriate, gender-specific, and facility-tailored to reduce the incidence of CAUTI.