huge academic medical facilities. The study revised all infections connected to catheters that happened from January 1stto March 31st, 2016. It also conducted a time-independent analysis to calculate distinctions between catheterizations that caused CAUTI and those that did not. Lastly,
C361 - MLM1 - PA 17a Kaplan-Meir assessment was added to estimate the prompt risk rates for acquiring CAUTI and the time-independent variances in sub-populations significant to the study. Level of EvidenceThis study used level II evidence according to the Johns Hopkins Nursing Evidence-Based Practice (JHNEBP) model due to a lack of user-friendly equipment to guide people.Data Analysis The study calculated the CAUTI rate per 1000 catheter days using an entire group of catheterizations. Variances in continuous variables were calculated using t-test and differences in definite variables evaluated with a Χ2 test. A Kaplan-Meir assessment was used to estimate the prompt risk rates for acquiring CAUTI and the time-independent variances in sub-populations significant to the study. To prevent possible biases, the study applied a set of confounders. Univariate Cox theories were used to evaluate the impact of every variable on time-to-infection and assess the patient type, sex, and age. The variable necessary for the univariate model were used in the multivariate Cox proportional hazard model. All data analysis was conducted using the survminer packages and R programming language. Ethical ConsiderationsThere was no ethical consideration for this research because the large number of patients whose data was taken over 4 years was voluntarily given. The study was beneficial to both the researchers and the patients. The study was beneficial to the patients because it expanded their knowledge about the risky factors that result in CAUTI. Lastly, even if the units where the research took place were publicized, the study did not mention the participants' names making it anonymous and confidential.Quality Rating
C361 - MLM1 - PA 18Based onthe Johns Hopkins Nursing Evidence-Based Practice (JHNEBP) model, the quality rating of this research article was high.Analysis of the Results / ConclusionsIn this article, the data involved was huge involving 47,926 participants who had 61,047 catheterizations. The rates of Catheter-associated urinary tract infections were observed to rise non-linearly for every day of catheterization. Cerebrovascular disease, paraplegia, and female gender were found to be significant risk factors for CAUTI. Using a massive EHR-derived dataset, the research found out that ICU dwell time is another factor for CAUTIs. The findings ofthis research answer my EBP question because it reveals the risk factors for CAUTI and can assist in future efforts for CAUTI reduction programs.