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WK 8 DIS.DATA

Introduction

How might you predict future events in your practice? Why is it important, as a future DNP-prepared nurse, to consider such future events?

For a DNP-prepared nurse, future predictions might lead to better patient outcomes and care. Therefore, analyzing factors to predict or evaluate can assist in transforming nursing practice or healthcare delivery. The “statistical procedure most commonly used for prediction is regression analysis” (Gray & Grove, 2020). 

Reference: Gray, J. R., & Grove, S. K. (2020). 
Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier

What’s Happening This Week?

In Week 8, Regression, you will examine the application of linear regression. You will analyze the strengths and weaknesses of the findings in a research study determined with linear regression, as well as explore alternatives to strengthen the aims of the study. You will also begin work on the Quality Improvement Project. While this Assignment is not due until Week 10, you are encouraged to begin this Assignment this week. 

Learning Objectives

Students will:

· Explain how the prediction concept and regression could be a useful analytic tool in nursing 

· Differentiate between logistic and multiple regression 

· Analyze multiple and logistic output and a published study

Required Resources

· Salkind, N., & Frey, B. (2019). Statistics for people who (think they) hate statistics (7th ed.). SAGE Publications.

· Chapter 17, “Using Linear Regression: Predicting the Future” (pp. 313–319, 329–333)

·
Document: 
Critical Assessment, Appendix E: Research Evidence Appraisal Tool (Word document)
Download Critical Assessment, Appendix E: Research Evidence Appraisal Tool (Word document)

·
Document
Critical Assessment, Appendix G: Individual Evidence Summary Tool (Word document)
Download Critical Assessment, Appendix G: Individual Evidence Summary Tool (Word document)

Required Media

PowerPoint Presentation

Required Resources for Topic: Regression

·
Alanazi, F. K., Lapkin, S., Molloy, L., & Sim, J. (2023). 

The impact of safety culture, quality of care, missed care and nurse staffing on patient falls: A multisource association studyLinks to an external site.


Journal of Clinical Nursing, 32(19/20), 7260–7272.

 

·
Moradkhani, B., Mollazadeh, S., Niloofar, P., Bashiri, A., & Oghazian, M. B. (2021). 

Association between medication adherence and health-related quality of life in patients with chronic obstructive pulmonary diseaseLinks to an external site.


Journal of Pharmaceutical Health Care and Sciences, 7(1).

Required Resources for Topic: Quality Improvement Project Assignment Options 

·
Frazier, M. C. (2023). 


Examining the lived experience of secondary traumatic stress in emergency room nurses: A mixed methods studyLinks to an external site.


 (Publication No. 30816304) [Doctoral dissertation, Saint Louis University]. ProQuest Dissertations and Theses Global.

·
Karamichos, S. (2023). 


The professional identity of the nurse practitioner: A mixed methods studyLinks to an external site.


 (Publication No. 30634134) [Doctoral dissertation, Oklahoma City University]. ProQuest Dissertations and Theses Global.

·
Medina, M. (2024). 


Implementing motivational interviewing to improve medication adherence: A staff education projectLinks to an external site.


 (Publication No. Order No. 30992260) [Doctoral dissertation, Walden University]. ProQuest Dissertations and Theses Global.

·
Rampersad, M. (2023). 


Oncology nurses, compassion fatigue and general health: A mixed-methods studyLinks to an external site.


. Walden University.

·
Document: Simons, A. (2023). 


Executive summary: Quality improvement initiative reducing orthopedic surgical site infections through nasal decolonization



 Download Executive summary: Quality improvement initiative reducing orthopedic surgical site infections through nasal decolonization

. Walden University.


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