INSTRUCTION BELOW:

PLEASE SEE THE ATTACHED RUBRIC DETAILS FOR THE ASSIGNMENT.

ZERO (0) PLAGIARISM, AT LEAST FIVE (5) REFERENCES NO MORE THAN 5 YEARS, FOLLOW THE APA WRITING FORMAT 

An understanding of cells and cell behavior is a critically important component of disease diagnosis and treatment. But some diseases can be complex in nature, with a variety of factors and circumstances impacting their emergence and severity.

Effective disease analysis often requires an understanding that goes beyond isolated cell behavior. Genes, the environments in which cell processes operate, the impact of patient characteristics, and racial and ethnic variables all can have an important impact.

An understanding of the signals and symptoms of alterations in cellular processes is a critical step in the diagnosis and treatment of many diseases. For APRNs, this understanding can also help educate patients and guide them through their treatment plans.

In this Assignment, you examine a case study and analyze the symptoms presented. You identify cell, gene, and/or process elements that may be factors in the diagnosis, and you explain the implications to patient health.

To prepare:

By Day 1 of this week, you will be assigned to a specific case study for this Case Study Assignment. Pleas see case study scenario below:

  Scenario 2: A 42-year-old man comes to clinic with chief complaint of pain, redness, and swelling of his right calf. He states that he had been working in his yard using a string trimmer when the trimmer slipped and cut his leg. He cleaned the wound with water from the garden hose and covered the wound with a large Band-Aid. Several days later, he developed fever to 100.6˚ F and chills and noticed that his leg was swollen and red. He comes to the emergency department for definitive care. 

The Assignment (1- to 2-page case study analysis)

Develop a 1- to 2-page case study analysis in which you:

• Explain why you think the patient presented the symptoms described.
• Identify the genes that may be associated with the development of the disease.
• Explain the process of immunosuppression and the effect it has on body systems.

There is often the requirement to evaluate descriptive statistics for data within the organization or for health care information. Every year the National Cancer Institute collects and publishes data based on patient demographics. Understanding differences between the groups based upon the collected data often inform health care professionals towards research, treatment options, or patient education.

Using the data on the “National Cancer Institute Data” Excel spreadsheet, calculate the descriptive statistics indicated below for each of the Race/Ethnicity groups. Refer to your textbook and the Topic Materials, as needed, for assistance in with creating Excel formulas.

Provide the following descriptive statistics:

1. Measures of Central Tendency: Mean, Median, and Mode
2. Measures of Variation: Variance, Standard Deviation, and Range (a formula is not needed for Range).
3. Once the data is calculated, provide a 150-250 word analysis of the descriptive statistics on the spreadsheet. This should include differences and health outcomes between groups.

APA style is not required, but solid academic writing is expected.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion. 

The DNP must have a basic understanding of statistical measurements and how they apply within the parameters of data management and analytics. In this assignment, you will demonstrate understanding of basic statistical tests and how to perform the appropriate test for the project using SPSS or other statistical programs.

General Requirements:

Use the following information to ensure successful completion of the assignment:

• Refer to “Setting Up My SPSS,” “SPSS Database,” and “Comparison Table of the Variable’s Level of Measurement,” located in the DNP 830 folder of the DC Network Practice Immersion workspace.
• Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
• This assignment uses a rubric. Review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
• You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance. 

Directions:

1. Set up your IBM SPSS account and run several statistical outputs based on the “SPSS Database” Use “Setting Up My SPSS” to set up your SPSS program on your computer or device. You may also use programs such as Laerd Statistics or Intellectus, if you subscribe to them.
2. The patient outcome or dependent variables and the level of measurement must be displayed in a comparison table which you will provide as an Appendix to the paper. Refer to the “Comparison Table of the Variable’s Level of Measurement.”
3. Submit a 1,000-1,250 word data analysis paper outlining the procedures used to analyze the parametric and non-parametric variables in the mock data, the statistics reported, and a conclusion of the results.

Provide a conclusive result of the data analyses based on the guidelines below for statistical significance.

1. PAIRED SAMPLE T-TEST: Identify the variables BaselineWeight and InterventionWeight. Using the Analysis menu in SPSS, go to Compare Means, Go to the Paired Sample t-test. Add the BaselineWeight and InterventionWeight in the Pair 1 fields. Click OK. Report the mean weights, standard deviations, t-statistic, degrees of freedom, and p level. Report as t(df)=value, p = value. Report the p level out three digits.
2. INDEPENDENT SAMPLE T-TEST: Identify the variables InterventionGroups and PatientWeight. Go to the Analysis Menu, go to Compare Means, Go to Independent Samples tT-test. Add InterventionGroups to the Grouping Factor. Define the groups according to codings in the variable view (1=Intervention, 2 =Baseline). Add PatientWeight to the test variable field. Click OK. Report the mean weights, standard deviations, t-statistic, degrees of freedom, and p level. Report t(df)=value, p = value. Report the p level out three digits
3. CHI-SQUARE (Independent): Identify the variables BaselineReadmission and InterventionReadmission. Go to the Analysis Menu, go to Descriptive Statistics, go to Crosstabs. Add BaselineReadmission to the row and InterventionReadmission to the column. Click the Statistics button and choose Chi-Square. Select eta to report the Effect Size. Click suppress tables. Click OK. Report the frequencies of the total events, the chi-square statistic, degrees of freedom, and p level. Report ꭓ2 (df) =value, p =value. Report the p level out three digits.
4. MCNEMAR (Paired): Identify the variables BaselineCompliance and InterventionCompliance. Go to the Analysis Menu, go to Descriptive Statistics, go to Crosstabs. Add BaselineCompliance to the row and InterventionCompliance to the column. Click the Statistics button and choose Chi-Square and McNemars. Select eta to report the Effect Size. Click suppress tables. Click OK. Report the frequencies of the events, the Chi-square, and the McNemar’s p level. Report (p =value). Report the p level out three digits.
5. MANN WHITNEY U: Identify the variables InterventionGroups and PatientSatisfaction. Using the Analysis Menu, go to Non-parametric Statistics, go to LegacyDialogs, go to 2 Independent samples. Add InterventionGroups to the Grouping Variable and PatientSatisfaction to the Test Variable. Check Mann Whitney U. Click OK. Report the Medians or Means, the Mann Whitney U statistic, and the p level. Report (U =value, p =value). Report the p level out three digits.
6. WILCOXON Z: Identify the variables BaselineWeight and InterventionWeight. Go to the Analysis Menu, go to Non-parametric Statistics, go to LegacyDialogs, go to 2 Related samples. Add the BaselineWeight and InterventionWeight in the Pair 1 fields. Click OK. Report the Mean or Median weights, standard deviations, Z-statistic, and p level. Report as (Z =value, p =value). Report the p level out three digits.

Include the following in your paper:

1. Discussion of the types of statistical tests used and why they have been chosen.
2. Discussion of the differences between parametric and non-parametric tests.
3. Description of the reported results of the statistical tests above.
4. Summary of the conclusive result of the data analyses.
5. Outputs from the statistical analysis provided as an Appendix to the paper.
6. Comparison table of the variable’s level of measurement provided as an Appendix to the paper.

Use the following guidelines to report the test results:

• Statistically Significant Difference: When reporting exact p values, state early in the data analysis and results section, the alpha level used for the significance criterion for all tests in the project. Example: An alpha or significance level of < .05 was used for all statistical tests in the project. Then if the p-level is less than this value identified, the result is considered statistically significant. A statistically significant difference was noted between the scores before compared to after the intervention t(24) = 2.37, p = .007. 
• Marginally Significant Difference: If the results are found in the predicted direction but are not statistically significant, indicate that results were marginally significant. Example: Scores indicated a marginally significant preference for the intervention group (M = 3.54, SD = 1.20) compared to the baseline (M = 3.10, SD = .90), t(24) = 1.37, p = .07. Or there was a marginal difference in readmissions before (15) compared to after (10) the intervention ꭓ2(1) = 4.75, p = .06.
• Non-Significant Trend: If the p-value is over .10, report results revealed a non-significant trend in the predicted direction. Example: Results indicated a non-significant trend for the intervention group (14) over the baseline (12), ꭓ2(1) = 1.75, p = .26.

The results of the inferential analysis are used for decision-making and not hypothesis testing. It is important to look at the real results and establish what criterion is necessary for further implementation of the project’s findings. These conclusions are a start.

Portfolio Practice Hours:

Practice immersion assignments are based on your current course objectives and is application-based learning using your real-world practice setting. These assignments earn practice immersion hours and are indicated in the syllabus by a Portfolio Practice Hours statement, which reminds you, the learner, to enter in a corresponding case log in Typhon. Actual practice immersion hours are entered, but the average hours associated with each practice immersion assignment is 10.

You are required to complete your assignment using a real-world application. Real-world application requires the use of evidence-based data, contemporary theories, and concepts presented in the course. The culmination of your assignment must present a viable application in a current practice setting. For more information on parameters for practice immersion hours, please refer to DNP resources in the DC Network.

To earn portfolio practice hours, enter the following after the references section of your paper:

Practice Hours Completion Statement DNP-830

I, (INSERT NAME), verify that I have completed (NUMBER OF) practice immersion hours in association with the goals and objectives for this assignment. I have also tracked said practice immersion hours in the Typhon Student Tracking System for verification purposes and will be sure that all approvals are in place from my faculty and practice mentor.

Task: View this topic 

Description

Points: 160 | Due Date: Week 6, Day 7 | CLO: 6 | Grade Category: Assignments

Assignment Prompt

Public policy has a major impact on your practice and your patients. Advocacy is an expectation of the advanced practice nurse. Elected officials care about what their constituents have to say. To make a difference, you need to be informed and engaged. Contacting your legislator and discussing issues is an important attribute of nurse leaders. In your interactions with lawmakers you want to be positive and nonpartisan, personal, persistent, patient, focused on your message, and provide accurate information. 

Directions

1. Determine the issue or message (e.g., telehealth impact on your practice) you wish to discuss with your legislator(s). Resource: The American Nurses Association Federal Legislative Priorities for 2019.
2. Identify your legislator and contact information from his or her website and/or search here.
3. Choose one method of Advocacy: Face-to-Face or Letter/ Email. 

Advocacy Option #1:

• Face-to-Face: Meet in person with a state or federal legislator or the legislator’s assistant/aide. The student may have to meet with the legislator’s assistant (especially if federal legislator) which is acceptable.  Making an appointment might be time consuming (especially if federal legislator), so you will need to begin the appointment process early in course. Students in the same legislative district may go together.  
  1. Once you have completed the visit, each student will write a summary (one-page) and thank-you note (even when the visit is conducted with other students).
  2. Summary may include: Was legislator/assistant: — knowledgeable about APN role and topic or at least willing to become informed? Was he or she willing to express support or opposition? Was he or she  cordial or merely civil, helpful or confrontational, or informative about the political process?
  3. Post the summary and a copy of your thank you note (letter or email) in the D2L assignment link.

Advocacy Option #2: 

• Letter or Email: The student must write three (3) letters or emails or a combination of letters/emails to their identified legislators (State and/or Federal). The letters/emails may be the same topic to three different legislators or three different topics to three different legislators. Legislators read correspondence, especially when it is personalized and clearly from a constituent. The following guidelines should be used when writing to your representative:
  1. Be brief (one page or less), and use your own words.
  2. Begin with the appropriate heading and address.
  3. Be specific: State the specific bill number and issue and state your opinion in the first sentence.
  4. Relate your experience with the issue. Use personal examples when possible. Your interest and concern about the issue is important. 
  5. Ask the legislator to specifically commit to supporting or opposing the legislation you are writing about.
  6. Ask for specific reasons they are supporting or opposing the proposal. 
  7. Sign and print your name and include your address and other contact information.
  8. If you have pertinent materials and/or editorials from local papers, include them.
  9. Cite any references at the end of the letter or email usingAPA format.
  10. Avoid form letters/emails if possible. If you are using a sample or form letter, be sure to adapt it, especially in the first sentence and paragraph.  Legislators and their aides recognize form letters and are less likely to be influenced by them.
  11. Thank him or her for considering your opinion.
  12. Submit the three letters and/or emails in Word docs in the D2L assignment link along with a separate one-page reflection on your experience.

Resource: 

• Sample Legislative Letter

Expectations

• Due: Monday, 11:59 pm PT

See USU NUR Writing Assignment Rubric for additional details and point weighting.