NR 506 Week 3 Discussion:

NURS 8201 Week 7 Discussion Use of Regression Analysis in Clinical Practice ANSWERS

NURS 8201 Week 7 Discussion Use of Regression Analysis in Clinical Practice ANSWERS

NURS 8201 Week 7 Discussion Use of Regression Analysis in Clinical Practice ANSWERS

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Week 7: Quantitative Analysis and Interpretation: Regression

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).

This week, 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 an Article Critique Assignment. While this Assignment is not due until Week 10, you are encouraged to begin this Assignment this week.

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.

Learning Objectives

Students will:

  • Analyze the use of regression analysis to support peer-reviewed research
  • Analyze strengths and weaknesses of research studies*
  • Recommend alternative quantitative and statistical methods to support research studies
  • Analyze impact of research studies on nursing practice*
  • Recommend changes to study designs and methodologies to support research studies*

*Assigned in Week 7 of Module 3 and submitted in Week 10 of Module 4NURS 8201 Week 7 Discussion Use of Regression Analysis in Clinical Practice ANSWERS

Learning Resources

Required Readings (click to expand/reduce)

 

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.

  • Chapter 24, “Using Statistics to Predict” (pp. 675–686)

Linear Regression Resources (click to expand/reduce)

 

Chi, C., Wu, H., Huan, C., & Lee, Y. (2017). Using linear regression to identify critical demographic variables affecting patient safety culture from viewpoints of physicians and nurses. Hospital Practices and Research, 2(2), 47–53. doi:10.15171/hpr.2017.12

De Groot, K., De Veer, A. J. E., Paans, W., & Francke, A. L. (2020). Use of electronic health records and standardized terminologies: A nationwide survey of nursing staff experiences. International Journal of Nursing Studies104. doi:10.1016/j.ijnurstu.2020.103523

Echevarria, I. M., Patterson, B. J., & Krouse, A. (2017). Predictors of transformational leadership of nurse managers. Journal of Nursing Management, 25(3), 167–175. doi:10.1111/jonm.12452

Edmonson, C. (2015). Strengthening moral courage among nurse leaders. Online Journal of Issues in Nursing, 20(2). doi:10.3912/OJIN.Vol20No20PPT01

Malagon-Aguilera, M. C., Suñer-Soler, R., Bonmatí-Tomas, A., Bosch-Farré, C., Gelabert-Vilella. S., & Juvinyà-Canal, D. (2019). Relationship between sense of coherence, health and work engagement among nurses. Journal of Nursing Management27(8), 1620–1630. doi:10.1111/jonm.12848

Westland, H., Schuurmans, M. J., Bos-Touwen, I. D., de Bruin-van Leersum, M. A., Monninkhof, E. M., Schröder, C. D., de Vette, D. A., & Trappenburg, J. C. (2020). Effectiveness of the nurse-led Activate intervention in patients at risk of cardiovascular disease in primary care: A cluster-randomised controlled trial. European Journal of Cardiovascular Nursing19(8), 721–731. doi:10.1177/1474515120919547

Yeom, H.-E. (2021). Causal beliefs about hypertension and self-care behaviour in Korean patients. Collegian28(1), 48–56. doi:10.1016/j.colegn.2020.04.007

 

Article Critique Resources (click to expand/reduce)

 

Coughlan, M., Cronin, P., & Ryan, F. (2007). Step-by-step guide to critiquing research. Part 1: Quantitative research. British Journal of Nursing, 16(11), 658–663. doi:10.12968/bjon.2007.16.11.23681

Ryan, F., Coughlan, M., & Cronin, P. (2007). Step-by-step guide to critiquing research. Part 2: Qualitative research. British Journal of Nursing, 16(12), 738–744. doi:10.12968/bjon.2007.16.12.23726

Vance, D. E., Talley, M., Azuero, A., Pearce, P. F., & Christian, B. J. (2013). Conducting an article critique for a quantitative research study: Perspectives for doctoral students and other novice readers. Nursing: Research and Reviews, 3, 67–75. doi:10.2147/NRR.S43374

 

Discussion: Use of Regression Analysis in Clinical Practice

Regression analysis provides the researcher with an opportunity to predict and explore future outcomes. Whether it is to determine prevention methods, promote opportunities for learning, or propose new treatments, looking towards the future can have a significant impact on patient care and sustained positive patient outcomes.

This week, you explore regression analysis, paying particular attention to linear regression. Linear regression is used to “estimate the value of a dependent variable based on the value of an independent variable” (Gray & Grove, 2020). In your Discussion, you will apply your understanding of this statistical technique as it concerns use in a research study.

Photo Credit: wutzkoh / Adobe Stock

For this Discussion, you will select an article on a study to examine the strengths and weaknesses in the use of linear regression. Consider how you might remedy the weaknesses associated with the application of linear regression and reflect on how the findings of the study that you selected might contribute to various areas of your practice.

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.

To Prepare:

  • Review the articles in this week’s Learning Resources and evaluate their use of linear regression. Select one article that interests you to examine more closely in this Discussion.
  • Critically analyze the article that you selected and consider the strengths and weaknesses described.
  • Reflect on potential remedies to address these weaknesses, and how the findings from this study may contribute to evidence-based practice, the field of nursing, or society in general.

By Day 3 of Week 7

Post a brief description of the article that you selected, providing its correct APA citation. Critically analyze the article by addressing the following questions:

  • What are the goals and purposes of the research study that the article describes?
  • How is linear or logistic regression used in the study? What are the results of its use?
  • What other quantitative and statistical methods could be used to address the research issue discussed in the article?
  • What are the strengths and weaknesses of the study?

Then, explain potential remedies to address the weaknesses that you identified for the research article that you selected. Analyze the importance of this study to evidence-based practice, the nursing profession, or society. Be specific and provide examples.

By Day 6 of Week 7

Read a selection of your colleagues’ responses and respond to at least two of your colleagues on two different days in one or more of the following ways:

  • Ask a probing question, substantiated with additional background information, evidence, or research.
  • ·Share an insight from having read your colleagues’ postings, synthesizing the information to provide new perspectives.
  • Offer and support an alternative perspective using readings from the classroom or from your own research in the Walden Library.
  • Validate an idea with your own experience and additional research.
  • Suggest an alternative perspective based on additional evidence drawn from readings or after synthesizing multiple postings.
  • Expand on your colleagues’ postings by providing additional insights or contrasting perspectives based on readings and evidence.

Submission and Grading Information

Grading Criteria

To access your rubric:

Week 7 Discussion Rubric

 

Post by Day 3 of Week 7 and Respond by Day 6 of Week 7

To Participate in this Discussion:

Week 7 Discussion

 

Assignment: Article Critique

DNP graduates are expected to apply research findings and integrate nursing science into evidence-based practice. To develop your skills in this high level of nursing practice, you will analyze the strengths and weaknesses of a research study over the next several weeks using the concepts presented throughout the course.

Photo Credit: ismagilov / iStock / Getty Images

  • A brief, 1- to 2-paragraph overview of the study that you selected.
  • An explanation of two to three strengths of the study and support for your selection (i.e., why is this a strength?). Be specific.
  • An explanation of two to three weaknesses of the study and support for your selection (i.e., why is this a weakness?). Be specific.
  • Note: The strengths and weaknesses that you identified should be in relation to design, sampling, data collection, statistical analysis, results, and discussion of the study that you selected.
  • An explanation of proposed changes that you would recommend to improve the quality of the study, capitalizing on the strengths and improving on the weaknesses that you identified in the study. Be specific and provide examples.
  • A final summary of the implications of this study for nursing practice.

The purpose of the analysis is to help you develop a deeper understanding of the research process, to inspire you to think critically and deeply about research on a specific topic, and to strengthen your ability to integrate research findings into evidence-based nursing practice. This Assignment also gives you practice in analyzing the research literature, which will support you when you begin your DNP project. Before you proceed, please review the rubric for this Assignment. Keep in mind that you will be working on your article critique throughout Weeks 8 through 10 with your critique due by Day 7 of Week 10.

The Assignment: (5–7 pages)

  • Select a research article from the body of literature that you have reviewed related to the practice gap you have identified and for which you will develop for your DNP Project.
  • Review the various quantitative research designs presented in the textbook readings and research articles.
  • Consider the research design used in your selected article. Ask yourself the following questions.
    • Is the design appropriate for the study? Why or why not?
    • Would a different design provide better results? Why or why not?

You are not required to submit this Assignment this week.

Reminder: The College of Nursing requires that all papers submitted include a title page, introduction, summary, and references. The Sample Paper provided at the Walden Writing Center provides an example of those required elements (available at https://academicguides.waldenu.edu/writingcenter/templates/general#s-lg-box-20293632). All papers submitted must use this formatting.

What’s Coming Up in Week 8?

Photo Credit: [BrianAJackson]/[iStock / Getty Images Plus]/Getty Images

Next week, you will continue your exploration of quantitative data. You will analyze and interpret the use of nonparametric methods for quantitative research and consider the appropriateness of applying nonparametric methods to support your research aims.

Next Week

COLLAPSE

Top of Form

Logistic Regression in Nursing Practice

The article I chose to examine and analyze this week is “Prediction of influenza vaccination outcome by neural networks and logistic regression.”

Tritica- Majnaric,L., Zekic-Susac, M., Sarlija, N., & Vitale, B. (2010).Prediction of influenza vaccination outcome by neural networks and logistic regression. Journal of Biomedical Informatics, 43(5), 774-781

Post your critical analysis of the article as outlined above

The critical issue with influenza vaccination is to foretell vaccine efficacy. The study presented in this article aimed to create a model to facilitate a credible prediction of the effect on influenza vaccination contingent upon valid medical data. A neural network approach was utilized, and its presentation was compared with using the logistic regression model

The three neural network algorithms that were tested include multilayer perceptron, radial basis, and probabilistic in conjunction with parameter optimization and regularization techniques to create an influenza vaccination model that could be used for prediction purposes in the medical practice of primary health care physicians, where the vaccine is usually dispensed (Tricia- Majnaric, Zekic-Susac, Sarlija, & Vitale, 2010). The variety of input variables was determined from the model of the vaccine strain, which has been altered and which a poor influenza reaction is likely. The action of models was quantified by the standard hit rate of difference in vaccine outcomes. Sensitivity analysis was performed on the best model, and the importance of input variables was discussed (Tricia- Majnaric, Zekic-Susac, Sarlija, & Vitale, 2010).

Logistic regression was widely used for dissecting the multivariate data, including dichotomous reactions with this research study. Logistic regression is identified as an analysis relationship between multiple independent variables and a single dependent variable which yields a predictive equation (Polit, 2010). The three neural network algorithms along with the logistic regression model were implemented to deliver the influenza vaccination probability model and apply it for prediction purposes within practice outcomes. Another statistical method that could address the research problem discussed in this article is the analysis of variance (ANOVA) statistical technique. ANOVA entails analyzing and arranging differences among three or more groups being compared to draw inferences. From this research study, the three NN algorithms, multilayer perceptron (MLP), radial-basis function network (RBFN), and probabilistic network (PNN), were tested and analyzed to draw an inferential conclusion.

Propose potential remedies to address the weaknesses of each study.

A strength of this study was the degree of the sensitivity and specificity analysis that was appropriately expressed. The generalization ability of the models used by a 10-fold cross-validation procedure showed that the model attained by multilayer perception produced the highest average hit rate among neural network algorithms and also outperformed the logistic regression model about sensitivity and specificity discussed (Tricia- Majnaric, Zekic-Susac, Sarlija, & Vitale, 2010). The sensitivity analysis was also implemented on the best models, and the vitality of the input variables was evaluated. A weakness of this study was the small sample size. The study consisted of 90 patients out of 150 people who required the influenza vaccine between 2003-2004 in Croatia. A more significant sample number would have been beneficial in this dataset and incorporating other methods to discover a more successful model.

Analyze the importance of this study to evidence-based practice, the nursing profession, or society.

The importance of prevention and control of the influence epidemic is imperative to the nursing profession and health care society. Based on the results of this research study, it is indicated that both types of data, those related to previous influenza viruses exposure and those describing the health status of examinees, influence outcome values of performed predictive models and could be used as efficient predictors of the influenza vaccine efficacy discussed (Tricia- Majnaric, Zekic-Susac, Sarlija, & Vitale, 2010). This is important, especially in the elderly, as this population has been more affected by the influenza virus. The available vaccines are less

effective in this age group. With new vaccine preparations and approaches, the effectiveness of influenza vaccines can be implemented through evidence-based practice.

References

Polit, D. F. (2010). Statistics and data analysis for nursing research (2nd ed.). Upper Saddle River, NJ: Pearson Education.

Tritica- Majnaric,L., Zekic-Susac, M., Sarlija, N., & Vitale, B. (2010).Prediction of influenza vaccination outcome by neural networks and logistic regression. Journal of Biomedical Informatics, 43(5), 774-781

NURS 8201 Week 7 Discussion Use of Regression Analysis in Clinical Practice ANSWERS
NURS 8201 Week 7 Discussion Use of Regression Analysis in Clinical Practice ANSWERS

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NURS 8201 Week 7 Discussion Use of Regression Analysis in Clinical Practice ANSWERS Grading Rubric Guidelines

Performance Category 10 9 8 4 0
Scholarliness

Demonstrates achievement of scholarly inquiry for professional and academic decisions.

  • Provides relevant evidence of scholarly inquiry clearly stating how the evidence informed or changed professional or academic decisions
  • Evaluates literature resources to develop a comprehensive analysis or synthesis.
  • Uses valid, relevant, and reliable outside sources to contribute to the threaded discussion
  • Provides relevant evidence of scholarly inquiry but does not clearly state how the evidence informed or changed professional or academic decisions.
  • Evaluates information from source(s) to develop a coherent analysis or synthesis.
  • Uses some valid, relevant, reliable outside sources to contribute to the threaded discussion.
  • Discusses using scholarly inquiry but does not state how scholarly inquiry informed or changed professional or academic decisions.
  • Information is taken from source(s) with some interpretation/evaluation, but not enough to develop a coherent analysis or synthesis.
  • Little valid, relevant, or reliable outside sources are used to contribute to the threaded discussion.
  • Demonstrates little or no understanding of the topic.
  • Discusses using scholarly inquiry but does not state how scholarly inquiry informed or changed professional or academic decisions.
  • Information is taken from source(s) without any interpretation/evaluation.
  • The posting uses information that is not valid, relevant, or reliable
  • No evidence of the use of scholarly inquiry to inform or change professional or academic decisions.
  • Information is not valid, relevant, or reliable
Performance Category  10 9 8 4 0
Application of Course Knowledge –

Demonstrate the ability to analyze, synthesize, and/or apply principles and concepts learned in the course lesson and outside readings and relate them to real-life professional situations

  • Posts make direct reference to concepts discussed in the lesson or drawn from relevant outside sources;
  • Applies concepts to personal experience in the professional setting and or relevant application to real life.
  • Posts make direct reference to concepts discussed in the lesson or drawn from relevant outside sources.
  • Applies concepts to personal experience in their professional setting and or relevant application to real life
  • Interactions with classmates are relevant to the discussion topic but do not make direct reference to lesson content
  • Posts are generally on topic but do not build knowledge by incorporating concepts and principles from the lesson.
  • Does not attempt to apply lesson concepts to personal experience in their professional setting and or relevant application to real life
  • Does not demonstrate a solid understanding of the principles and concepts presented in the lesson
  • Posts do not adequately address the question posed either by the discussion prompt or the instructor’s launch post.
  • Posts are superficial and do not reflect an understanding of the lesson content
  • Does not attempt to apply lesson concepts to personal experience in their professional setting and or relevant application to real life
  • Posts are not related to the topics provided by the discussion prompt or by the instructor; attempts by the instructor to redirect the student are ignored
  • No discussion of lesson concepts to personal experience in the professional setting and or relevant application to real life
Performance Category  5 4 3 2 0
Interactive Dialogue

Replies to each graded thread topic posted by the course instructor, by Wednesday, 11:59 p.m. MT, of each week, and posts a minimum of two times in each graded thread, on separate days.

(5 points possible per graded thread)

  • Exceeds minimum post requirements
  • Replies to each graded thread topic posted by the course instructor, by Wednesday, 11:59 p.m. MT, of each week, and posts three or more times in each graded thread, over three separate days.
  • Replies to a post posed by faculty and to a peer
  • Summarizes what was learned from the lesson, readings, and other student posts for the week.
  • Replies to each graded thread topic posted by the course instructor, by Wednesday, 11:59 p.m. MT, of each week, and posts a minimum of two times in each graded thread, on separate days
  • Replies to a question posed by a peer

Summarizes what was learned from the lesson, readings, and other student posts for the week.

  • Meets expectations of 2 posts on 2 different days.
  • The main post is not made by the Wednesday deadline
  • Does not reply to a question posed by a peer or faculty
  • Has only one post for the week
  • Discussion posts contain few, if any, new ideas or applications; often are a rehashing or summary of other students’ comments
  • Does not post to the thread
  • No connections are made to the topic
  Minus 1 Point Minus 2 Point Minus 3 Point Minus 4 Point Minus 5 Point
Grammar, Syntax, APA

Note: if there are only a few errors in these criteria, please note this for the student in as an area for improvement. If the student does not make the needed corrections in upcoming weeks, then points should be deducted.

Points deducted for improper grammar, syntax and APA style of writing.

The source of information is the APA Manual 6th Edition

  • 2-3 errors in APA format.
  • Written responses have 2-3 grammatical, spelling, and punctuation errors.
  • Writing style is generally clear, focused, and facilitates communication.
  • 4-5 errors in APA format.
  • Writing responses have 4-5 grammatical, spelling and punctuation errors.
  • Writing style is somewhat focused.
  • 6-7 errors in APA format.
  • Writing responses have 6-7 grammatical, spelling and punctuation errors.
  • Writing style is slightly focused making discussion difficult to understand.
  • 8-10 errors in APA format.
  • Writing responses have 8-10 grammatical, spelling and punctuation errors.
  • Writing style is not focused, making discussion difficult to understand.
  • Post contains greater than 10 errors in APA format.
  • Written responses have more than 10 grammatical, spelling and punctuation errors.
  • Writing style does not facilitate communication.
  • The student continues to make repeated mistakes in any of the above areas after written correction by the instructor
0 points lost       -5 points lost
Total Participation Requirements

per discussion thread

The student answers the threaded discussion question or topic on one day and posts a second response on another day. The student does not meet the minimum requirement of two postings on two different days
Early Participation Requirement

per discussion thread

The student must provide a substantive answer to the graded discussion question(s) or topic(s), posted by the course instructor (not a response to a peer), by Wednesday, 11:59 p.m. MT of each week. The student does not meet the requirement of a substantive response to the stated question or topic by Wednesday at 11:59 pm MT.

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