DNP-830A Data Analysis

MODULE 5

Benchmark – What Are the Data Saying?

Assessment Description

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 by performing the appropriate test for the given project data below using SPSS and by reporting the analyzed results in written paper.

General Requirements:

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

· Use the “Comparison Table of the Variable’s Level of Measurement,” located in the DNP-830A folder of the DNP PI Workspace, to complete the assignment.

· Review the “Working with Inferential Statistics” and “Working With Descriptive Statistics” tutorials, located in the DNP-830A folder of the DNP PI Workspace, for assistance as needed.

· Doctoral learners are required to use APA style for their writing assignments.

· You are required to submit this assignment to LopesWrite. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.

Directions:

Part 1:

Using the data in the “Comparison Table of the Variable’s Level of Measurement” display the dependent variables and the level of measurement in a comparison table. You will attach the comparison table as an appendix to your paper.

After downloading the data set, run the appropriate statistics in SPSS based on the steps listed below.

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 t T-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 Report ꭓ2 (df) =value, p =value. Report the p level out three digits.

4. MCNEMAR (Paired): Identify the variables BaselineCompliance and 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 Using the Analysis Menu, go to Nonparametric Statistics, go to LegacyDialogs, go to 2 Independent samples. Add I nterventionGroups 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 Nonparametric 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 Report as (Z =value, p =value). Report the p level out three digits.

Part 2

Write a 1,000-1,250-word data analysis paper outlining the procedures used to analyze the parametric and nonparametric variables in the mock data, the statistics reported, and a conclusion of the results. 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 nonparametric tests.

3. Description of the reported results of the statistical tests above.

4. Summary of the conclusive results of the data analyses.

5. Attach the SPSS outputs from the statistical analysis as an appendix to the paper.

6. Attach the “Comparison Table of the Variable’s Level of Measurement” as an appendix to the paper.

Use the following guidelines to report the test results for your paper:

· 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 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.

· Nonsignificant 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.

 

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In Units 2–9, you will choose one patient encounter to submit a Follow-up SOAP note for review.

Please see the template provided to guide your writing of SOAP notes.

Follow the rubric to develop your SOAP notes for this term.

The focus is on your ability to integrate your subjective and objective information gathering into formulation of diagnoses and development of patient-centered, evidence-based plans of care for patients of all ages with multiple, and complex mental health conditions. At the end of this term, your SOAP notes will have demonstrated your knowledge of evidence-based practice, clinical expertise, and patient/family preferences as expected for an independent nurse practitioner incorporating psychotherapy into practice.

 

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What is the difference between a nurse intrapreneur and a nurse entrepreneur?

Define a target industry and potential customers who could benefit from your nursing expertise.

Expectations

Initial Post:

• Due: Thursday, 11:59 pm PT
• Length: A minimum of 250 words, not including references
• Citations: At least one high-level scholarly reference in APA from within the last 5 years

Peer Responses:

• Due: Monday, 11:59 pm PT
• Number: A minimum of two peer reply posts, at least one on a different day than the initial post
• Length: A minimum of 150 words per post, not including references
• Citations: At least one high-level scholarly reference in APA per post from within the last 5 years

 

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Case Study:

A 46-year-old, 230lb woman with a family history of breast cancer. She is up to date on yearly mammograms.  She has a history of HTN. She complains of hot flushing, night sweats, and genitourinary symptoms.  She had felt well until 1 month ago and she presented to her gynecologist for her annual gyn examination and to discuss her symptoms.  She has a history of ASCUS about 5 years ago on her pap, other than that, Pap smears have been normal. Home medications are Norvasc 10mg qd and HCTZ 25mg qd. Her BP today is 150/90.  She has regular monthly menstrual cycles. Her LMP was 1 month ago.

Write a brief description of your patient’s health needs from the patient case study you assigned. Be specific. Then, explain the type of treatment regimen you would recommend for treating your patient, including the choice or pharmacotherapeutics you would recommend and explain why. Be sure to justify your response. Explain a patient education strategy you might recommend for assisting your patient with the management of their health needs. Be specific and provide examples.

 

Answer

The patient has present compliant of hot flushing, night sweats, genitourinary symptoms. it needs immediate attention. the patient is 46 years old and has a history of hypertension and today BP is 150/90 there is elevated blood pressure. patient  LMP is one month back. the patient had ASCUS in pap 5 years back, which causes no problem in the late period. patient present symptoms indicate the patient is in the perimenopausal period. when women menopausal period starts it causes a hot flush, night flush, depression, and high blood pressure and genitourinary changes. the patient needs to manage her symptoms and avoid further complications.
Type of treatment:
Hormone therapy -estrogen therapy avoid the symptoms and avoid the risk of cancer.
Vaginal estrogen avoid the genitourinary problem
A low dose of antidepressants like SSRIs decrease the symptoms and stabilize the mood disorder
Gabapentin reduces night sweats and hoit flush
clonidine treat high blood pressure
Vitamin D and calcium supplements help strengthen the bones.
Patient education:
-advise the patient to wear loose and comfortable clothes
-advice to increase the fluid intake
-advice aerobic activity, weight-bearing and stretching activity
-Take good calcium diet
-Increase fiber intake, eat  5 portions of food ad limit the salt intake
-avoid alcohol, tea, coffee and smoking that trigger the hot flush
-do pelvic floor exercise
-avoid saturate fats and high-calorie diet and take omega 3fatty acids for a healthy heart.
-Have regular screening that helps avoid breast and cervical cancer.

 

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