In Week 9, you will be submitting your complete EBP capstone project proposal in the project assignment folder. The paper will be a comprehensive discussion on the EBP project you have been building during this course. The sections to be included will be the following: 

  1. Introduction
  2. The Spirit of Inquiry Ignited  (this is the Week 1 and Week 2 background work – why are you interested in this topic?)
  3. The PICOT Question Formulated (this is the Week 3 work)
  4. Search Strategy Conducted  (this is the Week 4 and Week 5 search for evidence)
  5. Critical Appraisal of the Evidence Performed (this is the synthesis of evidence from Week 6; be sure to include your synthesis and evidence evaluation tables as appendices in your paper)
  6. Evidence Integrated with Clinical Expertise and Patient Preferences to Inform a Decision and Practice Change Implemented (this is the implementation plan from Week 7)
  7. Outcome Evaluated(this is the evaluation plan from Week 8)
  8. Project Dissemination (this is the dissemination plan from Week 9)
  9. Conclusion

PICOT Question:

For hospitalized patients on a general medicine unit with Foley catheters (P), does implementation of nursing Foley bundles, accompanied with continual education on Foley bundles (I), compared to using no nursing Foley bundles/continual education (C), decrease the incidence of hospital-acquired catheter-associated urinary tract infections (O), over one year (T)?


EBP Evaluation Plan

Student’s name




EBP Evaluation Plan

The collected data for any evaluation plan must be analyzed with proper statistical tools to provide meaningful results of the process in this study. The data collected in this proposed EBP was about admitted residents from a local hospital inserted with urinary catheters. The study aimed to “compare patients who have had the indwelling urinary catheter longer than 72 hours to those who had it removed before the 72 hours mark.” In this case, it is important to clean and sort data with appropriate screening tools to check for normality, outliers, and any missing values and determine the course of action in case of missing values. The best statistical tools to analyze and screen procedures for collected data are SPSS software, multivariable logistics and simple logistic regression to answer the questions mentioned in the hypothesis.

To further validate collected data and establish reliability, analysts will use a stepwise method to estimate the logistic regression because based on the predefined statistical criteria, best fitting independent variables from the model will be selected and have an overall impact on the unique characteristics of the sample analyzed (Flores-Mireles, Hreha & Hunstad, 2019). My evaluation was based on three elements: independent variable gender, CAUTI incidence, and categorical dependent variable, which fit the logistic regression test correctly in measuring the variable’s correlation. Multivariable logistic tests measured the CAUTI rate, dependent variable and independent variable (age), and data were analyzed using the SPSS software.

Based on the course readings, the assumptions of logistic regression must be met with the used variables. It implies, the dependent variable CAUTI should be answered with a yes or no in all stochastic events. In contrast, the independent variable should be categorized into age groups 0-85 years and appropriately coded with SPSS software (Pérez et al., 2017). Lastly, the outcomes of variables of interest must be explained using the logistic regression model to determine correlation and strengths.


Flores-Mireles, A., Hreha, T. N., & Hunstad, D. A. (2019). Pathophysiology, treatment, and prevention of catheter-associated urinary tract infection. Topics in spinal cord injury rehabilitation25(3), 228-240.

Pérez, E., Uyan, B., Dzubay, D. P., & Fenton, S. H. (2017). Catheter-associated urinary tract infections: challenges and opportunities for the application of systems engineering. Health Systems6(1), 68-76.