DQ: Explain whether you would select a qualitative or quantitative design to collect data and evaluate the effectiveness of your evidence-based practice project proposal

DQ: Explain whether you would select a qualitative or quantitative design to collect data and evaluate the effectiveness of your evidence-based practice project proposal

My PICOT: Over the course of three months (T), do patients with central lines (P) who use a central line care bundle (I) have lower central line associated blood infection (CLABSI) rates than those who do not use a central line care bundle (C)?

The process of designing an evidence-based practice study requires careful identification of the study objectives and appropriate data collecting. Statistics, despite their intimidating nature, “play a significant part in health and human related research… statistical analysis assists in arriving at proper conclusions which then encourages generalization or application of findings to the entire population of interest in the study” (Rebekah & Ravindran, 2021, p 62). Over the course of three months, the goal of my PICOT intervention is to lower the incidence rate of CLABSI. This quantitative assessment inspires me to develop a quantitative evidence-based practice study that takes into account CLABSI incidence rates and numbers in order to determine whether or not implementing a standard bundle will significantly lower them. Additionally, statistical analysis is crucial to provide context and a narrative for a large body of data, which will ultimately improve the outcomes for the patient population (Rebekah & Ravindran, 2021). Inferential statistics enable statistical analysis of gathered data so that conclusions from particular interventions or scenarios can then be drawn.

I don’t need intermediate or advanced statistical software for my PICOT data collection. Instead, I would utilize an Excel document to gather data on a randomized control trial approach to patient information, whether or not a central line care bundle was used, and whether or not CLABSI rates were shown to be lower than those who did not use a central line care bundle. To assess the paperwork and the actual nursing interventions carried out with this patient group, access to patient health records in EPIC would be required. Analysis of this rather simple comparison is possible using simple Excel techniques (Rebekah & Ravindran, 2021). Finding participants in the study and determining if it can be done in a randomized form would likely present the biggest challenges, in my opinion.

References

G. Rebekah and V. Ravindran (2021).

Research in nursing using statistics.

62–69 are included in Indian Journal of Continuing Nursing Education, 19(1).

In the evidence-based study project I’m putting up, a quantitative research design might be the most appropriate for analyzing the impact education has on physical

DQ Why would you choose a qualitative or quantitative design to gather information and assess the success of your proposed evidence-based practice project?

DQ: Explain whether you would select

determining element in determining if some forms of instructional information are more effective than others (Metzgar & Nickols-Richardson, 2016). I think surveys would be the most effective method for gathering quantitative data for the research study since they would yield an adequate amount of information for evidence-based practice. Since my study will be conducted in the education department and involve working with outpatient and public outlets, surveys would be the most realistic alternative (Lallukka, Pietilaeinen, Jaeppinen, Laaksonen, Lahti & Rahkonen, 2020). Controlled environments would be too resource-intensive to maintain, and surveys that asked about changes in measurements and the kinds of meals consumed over time would provide information that might demonstrate a clear link between lower costs and higher efficiency. Instead of employing national or general public surveys, I would only distribute questionnaires for evaluation to people who have actively been solicited to participate in the project.

References:

Laaksonen, M., Lahti, J., Rahkonen, O., Pietilaeinen, O., and T. Lallukka (2020). Factors influencing young employees’ responses to health surveys: a register-based study utilizing online, postal, and telephone interview data collection techniques. 20th BMC PUBLIC HEALTH (1). https://doi-org.lopes.idm.oclc.org/10.1186/s12889-020-8241-8

C. J. Metzgar, S. M. Nickols-Richardson (2016). A randomized controlled trial on the effects of nutrition education on the prevention of weight gain. Journal of Nutrition, 15, 1–13. https://doi-org.lopes.idm.oclc.org/10.1186/s12937-016-0150-4

My PICOT: Over the course of three months (T), do patients with central lines (P) who use a central line care bundle (I) have lower central line associated blood infection (CLABSI) rates than those who do not use a central line care bundle (C)?

DQ: Explain whether you would select

The process of designing an evidence-based practice study requires careful identification of the study objectives and appropriate data collecting. Statistics, despite their intimidating nature, “play a significant part in health and human related research… statistical analysis assists in arriving at proper conclusions which then encourages generalization or application of findings to the entire population of interest in the study” (Rebekah & Ravindran, 2021, p 62). Over the course of three months, the goal of my PICOT intervention is to lower the incidence rate of CLABSI. This quantitative assessment inspires me to develop a quantitative evidence-based practice study that takes into account CLABSI incidence rates and numbers in order to determine whether or not implementing a standard bundle will significantly lower them. Additionally, statistical analysis is crucial to provide context and a narrative for a large body of data, which will ultimately improve the outcomes for the patient population (Rebekah & Ravindran, 2021). Inferential statistics enable statistical analysis of gathered data so that conclusions from particular interventions or scenarios can then be drawn.

I don’t need intermediate or advanced statistical software for my PICOT data collection. Instead, I would utilize an Excel document to gather data on a randomized control trial approach to patient information, whether or not a central line care bundle was used, and whether or not CLABSI rates were shown to be lower than those who did not use a central line care bundle. To assess the paperwork and the actual nursing interventions carried out with this patient group, access to patient health records in EPIC would be required. Analysis of this rather simple comparison is possible using simple Excel techniques (Rebekah & Ravindran, 2021). Finding participants in the study and determining if it can be done in a randomized form would likely present the biggest challenges, in my opinion.