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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

NUR 590 Topic 4 DQ 1

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: In patients with a central line (P), does use of a central line care bundle (I), when compared to no use of a central line care bundle (C), lead to lower central line associated blood infection (CLABSI) rates (O), over the course of three months (T)?

Careful identification of study intentions and meaningful data collection is an essential piece in the evidence-based practice study design process. Though daunting, statistics “play a key role in health and human related research… statistical analysis assists in arriving at right conclusions which then promotes generalization or application of findings to the whole population of interest in the study,” (Rebekah & Ravindran, 2021, p 62). My PICOT intervention aims to reduce the rate of CLABSI occurrence over the course of three months. This quantitative evaluation leads me to design a quantitative evidence-based practice study that considers the numbers and rates of CLABSI occurrence and whether or not implementing a standard bundle will effectively reduce these. Additionally, statistical analysis is essential to give meaning and a story behind a great deal of numbers, with ultimate positive impact on patient popultaion outcomes (Rebekah & Ravindran, 2021). Inferential statistics allow for statistical analysis of data collected to then draw conclusions from specific interventions or scenarios.

My PICOT data collection does not require an intermediate or advanced statistical software. Instead, I would use an Excel document to collect information on a randomized control trial approach to patient information, whether or not the intervention of a central line care bundle was implemented or not, and if CLABSI rates were seen to be decreased compared to those without use of a central line care bundle. This would need to be done with access to patient health records in EPIC, to review documentation as well as nurse interventions actually being performed with this patient group. Using basic excel formulas, analysis is able to be performed on this somewhat simple comparison (Rebekah & Ravindran, 2021). I anticipate the largest challenge will be identifying those who will participate in the study, and if it can be done in a randomized fashion.

References

Rebekah, G. & Ravindran, V. (2021). Statistical analysis in nursing research. Indian Journal of Continuing Nursing Education, 19(1), p 62-69.

In the evidence based research project I am proposing, observing the effect that education has on physical health changes such as weight loss in order to decrease obesity rates may be best suited in a quantitative research design. This is because collecting body measurements would include physical number categorizing as well as identifying nutritional amounts in meals could be an important

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

factor in evaluating if certain types of educational content are more effective than others (Metzgar & Nickols-Richardson, 2016). In order to collect quantitative data for the research project, the best data collection tool I believe would provide sufficient data for evidence based practice would be through survey. Surveys would be the most realistic option as my project setting would be set within the education department working with outpatient and public avenues (Lallukka, Pietilaeinen, Jaeppinen, Laaksonen, Lahti & Rahkonen, 2020). Controlled environments would cost too much resources to sustain and surveys that would include questions about changes in measurements what what type of foods being consumed within the time frame would provide data that can show direct correlation with less cost making them more efficient. However I would only distribute surveys for evaluation for those who have actively been contacted to participate in the project instead of using national surveys or general public ones.

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References:

Lallukka, T., Pietilaeinen, O., Jaeppinen, S., Laaksonen, M., Lahti, J., & Rahkonen, O. (2020). Factors associated with health survey response among young employees: a register-based study using online, mailed and telephone interview data collection methods. BMC PUBLIC HEALTH, 20(1). https://doi-org.lopes.idm.oclc.org/10.1186/s12889-020-8241-8

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

My PICOT: In patients with a central line (P), does use of a central line care bundle (I), when compared to no use of a central line care bundle (C), lead to lower central line associated blood infection (CLABSI) rates (O), over the course of three months (T)?

 

Careful identification of study intentions and meaningful data collection is an essential piece in the evidence-based practice study design process. Though daunting, statistics “play a key role in health and human related research… statistical analysis assists in arriving at right conclusions which then promotes generalization or application of findings to the whole population of interest in the study,” (Rebekah & Ravindran, 2021, p 62). My PICOT intervention aims to reduce the rate of CLABSI occurrence over the course of three months. This quantitative evaluation leads me to design a quantitative evidence-based practice study that considers the numbers and rates of CLABSI occurrence and whether or not implementing a standard bundle will effectively reduce these. Additionally, statistical analysis is essential to give meaning and a story behind a great deal of numbers, with ultimate positive impact on patient popultaion outcomes (Rebekah & Ravindran, 2021). Inferential statistics allow for statistical analysis of data collected to then draw conclusions from specific interventions or scenarios.

My PICOT data collection does not require an intermediate or advanced statistical software. Instead, I would use an Excel document to collect information on a randomized control trial approach to patient information, whether or not the intervention of a central line care bundle was implemented or not, and if CLABSI rates were seen to be decreased compared to those without use of a central line care bundle. This would need to be done with access to patient health records in EPIC, to review documentation as well as nurse interventions actually being performed with this patient group. Using basic excel formulas, analysis is able to be performed on this somewhat simple comparison (Rebekah & Ravindran, 2021). I anticipate the largest challenge will be identifying those who will participate in the study, and if it can be done in a randomized fashion.

For the evidence-based practice project proposal, which focuses on using a specialized bed to prevent pressure ulcers, I select a quantitative design to collect data and evaluate its effectiveness. Quantitative research gathers data numerically, allowing for statistical analysis and objective conclusions (Asenahabi, 2019). The design enables gathering measurable data on pressure ulcer incidence, bed usage, and patient outcomes. I would use a standardized assessment tool called the Pressure Ulcer Scale for Healing (PUSH) to collect the necessary quantitative data. The PUSH tool is widely recognized and utilized in clinical practice to assess the severity and progress of pressure ulcers. PUSH quantifies three critical dimensions of the ulcer: surface area, exudate amount, and tissue type (Ahmed et al., 2023). By systematically measuring these aspects over time, I can track changes and evaluate the effectiveness of the specialized bed in preventing and healing pressure ulcers.

The quantitative design and the use of the PUSH tool are particularly suitable for this evidence-based practice project proposal for several reasons. First, the numerical data collected through this approach will provide objective and quantifiable evidence regarding the impact of the specialized bed on pressure ulcers (Ahmed et al., 2023). It allows for analysis and comparison of the outcomes before and after implementing the intervention. The PUSH tool is a reliable and valid instrument that has been extensively tested and proven to have high inter-rater reliability among healthcare professionals. This ensures that the data will be consistent and dependable, reducing the potential for bias or subjective interpretation. These tools will also provide a comprehensive dataset that can be analyzed using standard statistical methods. This will enable the identification of trends, patterns, and statistically significant differences in pressure ulcer outcomes associated with the specialized bed intervention. The quantitative analysis will enhance the rigor and credibility of my evidence-based practice project proposal.

 

References

Ahmed, H. F., Mohamed, A. M., El Sawy, H. M., & Obeya, H. E. (2023). Class IV versus class IIIb laser therapy on median sternotomy incision healing after coronary artery bypass graft: A Randomize Control Trail. Journal of Survey in Fisheries Sciences 10(3S), pp. 4544–4554.

Asenahabi, B. M. (2019). Basics of research design: A guide to selecting appropriate research design. International Journal of Contemporary Applied Researches6(5), 76-89.