Extraneous Variables The intervention of catheter-associated infections depends

Extraneous Variables
The intervention of catheter-associated infections depends on several technical aspects, such as how well it is used, the indication to use it, and when it is removed. Most intervention approaches are by removing the catheter in a timely manner. According to Andrade & Fernandes (2016), the nurses should remind the doctor daily about removing urinary catheters from patients hospitalized but no longer need urinary catheters. Also, the doctor can use the designed protocol by assigning a nursing team to check daily if the client still requires the catheter. Lastly, while inserting it, aseptic technique should be maintained to prevent infections.
Prof: feedback…..Other than insertion technique, what are possible extraneous variables for your project and how would you control for them?
Instrument description
The instrument used in this study was tally sheet. This is one of the most appropriate tools to measure the incidences of CAUTI in healthcare facilities. This instrument is used to analyze a situation, and record results and it includes two types of observation, a participant observation and a non-participant observation. The advantage of this instrument is that it helps avoid confounding effects by analyzing the relationship of all variables at the same time. 
Prof: feedback… What kind of tally sheet? What are you tallying?
Validity, and Reliability
Validity it is the first measure of quality in a quantitative study. It is defined as the extent to which a concept is accurately measure in a quantitative study (Heale & Twycross, 2015).
In this study validity refers to the assumption that the findings obtained regarding CAUTI incidences would measure the rate of the phenomenon in question. The gather evidence-based data would first be screened and analyzed under directive of the Center of Disease Control (CDC). Reliability refers to as the accuracy of an instrument (Heale & Twycross, 2015). Reliability testing examines the amount of measurement error in the instrument being used in a study (Gray et al., 2016).
The scale use in this study would be a ratio scale. This scale will model the chance of an outcome based on individual characteristics (Sperandei, 2014). Ratio scale provides a detailed information regarding researcher’s statistical calculation tendency such as mean, median, mode, and coefficient of variation (Manikandan, 2011).
Prof: feedback… more info
Prof: feedback… Need more information
Intervention
The intervention of catheter-associated infections depends on several technical aspects, such as how well it is used, the indication to use it, and when it is removed. Most intervention approaches are by removing the catheter as soon as possible after surgery. According to Andrade & Fernandes (2016), the nurses should remind the doctor daily about removing urinary catheters from people who stayed for more than three days with indwelling catheters. Also, the doctor can use the designed protocol by assigning a nursing team to assess daily if the patient still requires the catheter. So,
Prof: feedback… what is the specific intervention in your project?
Data Collection 
The data collection process is an essential part of any research study, such data can be obtained from either a primary or secondary source. A data collection plan in quantitative research is the researcher’s plan for obtaining the output of various instruments, surveys, and measurements, including demographics (Gray et al., 2016). In this study, data will be collected without compromising any patient data and without violating patient’s privacy, from reliable and credible sources such as the National Guidelines Clearinghouse (NGC), National Healthcare Safety Network (NHSN),  and Medline. This data will be acquired  maintaining subjects confidentiality, followed by data scrubbing to extract only cases of immediate de-catheterization post surgery and CAUTI cases with urinary de-catheterization 48 hours post-surgery.
Prof: feedback… This is not clear
References
Abiodun, K. O. (2018). Catheter-Associated Urinary Tract Infection in New York and North Carolina (Doctoral dissertation, Walden University).
Andrade, V. L. F., & Fernandes, F. A. V. (2016). Prevention of catheter-associated urinary tract infection: implementation strategies of international guidelines1. Revista latino-americana de enfermagem, 24.
Bujang, M. A., Sa’at, N., Sidik, T., & Joo, L. C. (2018). Sample Size Guidelines for Logistic Regression from Observational Studies with Large Population: Emphasis on the Accuracy Between Statistics and Parameters Based on Real Life Clinical Data. The Malaysian journal of medical sciences : MJMS, 25(4), 122–130.
Gray, J. R., Grove, S. K., & Sutherland, S. (2016). Burns and Grove’s The Practice of Nursing Research: Appraisal, Synthesis, and Generation of Evidence (8th ed.). Elsevier – Health Sciences Division.
Heale, R., Wycross,  A. (2015). Validity and reliability in

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