Describe how epidemiological data influences changes in health practices.

Describe how epidemiological data influences changes in health practices. Provide an example and explain what data would be necessary to make a change in practice.

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Mila Jefferies is a recently widowed 36-year-old mother of two children and the daughter of two aging parents in the southeastern United States

CASE STUDY

Individuals and a Family as a Client

Mila Jefferies is a recently widowed 36-year-old mother of two children and the daughter of two aging parents in the southeastern United States. She and her children have recently relocated from an urban neighborhood to a rural town to care for her parents, Robert and Susan. The move involved a job change for Elizabeth, a change in schools for the children, and an increased distance from the family of the children’s deceased father. Mila’s older child is a 5-year-old daughter, recently diagnosed with autism spectrum disorder and dyslexia. The younger of the two children is a 3-year-old boy with asthma that has been difficult to control since the move. Robert is a 72-year-old Methodist minister who recently suffered a stroke, leaving him with diminished motor function on his left side and difficulty swallowing. Susan is 68 years old and suffers from fibromyalgia, limiting her ability to assist with the daily care of her husband. She has experienced an increase in generalized pain, difficulty sleeping, and worsening fatigue since her husband’s stroke.

Use the Neuman systems model as a conceptual framework to respond to the following:

• Describe the Jefferies family as a client I system using each of the five variables.

• What actual and potential stressors threaten the family? Which stressors are positive, and which are negative? Separate the actual and potential stressors that threaten the individual members of the family. Which of the stressors are positive, and which are negative?

• What additional nursing assessment data are needed considering Robert’s medical diagnoses? What additional data would be helpful for Susan’s medical diagnoses? What about each of the children?

• What levels of prevention intervention(s) are appropriate for the Jefferies family? Propose potential prevention intervention(s) for each member of the family.

• Identify your nursing priorities if you were providing care to this family.

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Statistical Analyses in Nursing

Statistical Analyses in Nursing

Researchers must make informed choices about the type of statistical analysis that best addresses the research question. For the past several weeks, you have been considering how and when a particular statistic should be employed. This week, you have focused on the use of nonparametric tests.

Nonparametric methods are useful to researchers in performing statistical analyses of quantitative data sets that do not follow normal distributions and that have inconsistent variation. Nonparametric methods are often applied when ordinal-level data are collected and, as such, rely on fewer assumptions than their parametric counterparts.

In this Discussion, you examine the two articles in this week’s Learning Resources, both of which employ nonparametric methods of statistical analysis. In addition, as the final week of exploring quantitative statistics, you consider which statistical method is most frequently used in your area of nursing practice.

Note: This Discussion takes place in small groups, which should have been assigned by your Instructor.

To prepare:

  • Review the articles presented in this week’s Learning Resources and analyze each study’s use of nonparametric tests.
  • Critically analyze each article, considering the following questions in your analysis:
    • What are the goals and purpose of the research study each article describes?
    • How are nonparametric tests used in each study? What are the results of their use?
    • Why are parametric methods (t tests and ANOVA) inappropriate for the statistical analysis of each study’s data?
    • What are the strengths and weaknesses of each study (e.g., study design, sampling, and measurement)?
    • How could the findings and recommendations of each study contribute to evidence-based practice in the health care field?
  • Reflect on the quantitative statistical analyses presented throughout this course in the research literature, the Learning Resources, media presentations, and those articles you reviewed for your abbreviated research proposal.
  • Ask yourself: Which method is most commonly used in research studies that pertain to my area of nursing practice, and why this might be so?

By Day 3

Post a cohesive response in your small group that addresses the following:

  • Critically analyze each article, including the items noted above.
  • Identify one statistical analysis method that you found recurring in many of the articles you used in your literature review for your research proposal. This method does not necessarily have to be nonparametric.
  • Based on your area of nursing practice, which method of statistical analysis is most frequently used in the research literature? Why do you think other forms of statistical analysis are less frequently used? Provide a rationale for your response.

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Conse

Respond in 250 words with three or more scholarly references. Use citations, cite your references. 

Why is consent such an important component of research protocols?  What specific things should be taken into account when proposing consent procedures?

 

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