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.

One page only   

Discussion 

Week 8: Reflection on Nursing Informatics Skills and Impact on Specialty

Discuss how Course Outcomes were supported and met by the activities you have completed in this course. What changes did you note in your post-TANIC TIGER assessment from when you started this course in week 1?

Two scholar peer view 2017-2021. References 2017-2021 only

Promoting Evidence-Based Practice

In recent years, the implementation of evidence-based practice has been identified as a priority across nearly every nursing specialty (Prevost & Ford, 2020). In addition, nurses are increasingly accepted as essential members, and often as leaders, of the interdisciplinary health-care teams. To effectively participate and lead a health-care team, nurses must have knowledge of the most effective and reliable evidence-based approaches to care, increase their expertise in critiquing research, and apply the evidence of their findings to select optimal interventions for their patients (Prevost & Ford, 2020).

ASSIGNMENT: (Question that needs to be answered)

Identify at least five things you might do to increase your knowledge and use of evidence in your practice. What are the most significant driving and restraining forces to make this change? Would you anticipate (overt or covert) resistance to your efforts? Will you need to enlist support from others or acquire additional resources for this planned change to occur? (Examples might be administrative support, access to scholarly journals, or mentoring.)

Respond to the following questions in -depth using paragraph form. Paragraphs must be at least 5-7 sentences. Use 6 peer reviewed references

1.     A negligence action was brought by a mother on behalf of her minor daughter against a hospital. It alleged that when the mother was 13 years of age, the hospital negligently transfused her with Rh-positive blood. The mother’s Rh-negative blood was incompatible with and sensitized by the Rh-positive blood. The mother discovered her condition eight years later during a routine blood screening ordered by her physician in the course of prenatal care. The resulting sensitization of the mother’s blood allegedly caused damage to the fetus, resulting in physical defects and premature birth. Did a patient relationship with the transfusing hospital exist?

2. The plaintiff’s physician received a release of information from the plaintiff to an insurance company following the plaintiff’s application for major medical insurance. The physician released the following information: Enclosed is a summary of Mr. Millsaps’s recent hospitalization. Physically the man has no notable problems; emotionally, the patient is quite mercurial in his moods. He is a strong-willed man obsessed with faults of others in his family, for which there has been no objective basis. He has completely resisted any constructive advice by his wife, family, minister, or myself. The man needs psychiatric help for his severe obsessions and depressions, some of which have suicidal overtones. He is an extremely poor insurance risk. The application for major medical insurance was rejected. Did the physician have a right to release this information to the insurance company?

3.        The defendant was executive director of Planned Parenthood. A second defendant was the physician who served as medical director for Planned Parenthood. Both gave information, instruction, and medical advice to married persons about how to prevent conception. The defendants were arrested and found guilty of violating a statute that forbade the use of contraceptives. They then appealed, contending that the statute as applied violated the Fourteenth Amendment. Does a law forbidding the use of contraceptives invade the zone of privacy in violation of the due process clause of the Fourteenth Amendment?

4.        The New York Legislature passed the New York State Controlled Substances Act of 1971 because of concern about the illegal use of drugs in the state. The act requires that records involving the use of certain prescription drugs be filed by physicians with the New York State Department of Health. These records are kept on computers and include the name and address of patients using the drugs. The concern of the physicians and patients who were plaintiffs was that patients in need of treatment with these drugs would decline treatment for fear of being labeled drug addicts. Was the collection of these records by the state a violation of the patients’ Fourteenth Amendment rights?