DNP 825 Week 3 Assignment Epidemiology Paper Part Two – Analysis and Application

Sample Answer for DNP 825 Week 3 Assignment Epidemiology Paper Part Two – Analysis and Application Included After Question

Details:

The Epidemiology Paper is a practice immersion assignment designed to be completed in three sections. This is part two of the assignment. Learners are required to identify an at-risk population, how the health risk for this population can be affected by nursing science, and the potential obstacles that may hinder implementation of health prevention and promotion activities for this particular population.

General Guidelines:

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

• This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
• 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 requires that support your position by referencing at least six to eight scholarly resources. At least three of your supporting references must be from scholarly sources other than the assigned readings.
• You are required to submit this assignment to LopesWrite. Please refer to the directions in the Student Success Center.

DNP 825 Week 3 Assignment Epidemiology Paper Part Two – Analysis and Application

A Sample Answer For the Assignment: DNP 825 Week 3 Assignment Epidemiology Paper Part Two – Analysis and Application

Title: DNP 825 Week 3 Assignment Epidemiology Paper Part Two – Analysis and Application

Influenza is a global health issue that affects the international health community annually. Seasonal influenza is a respiratory infection consisting of four types A, B, C, and D; with types A and B responsible for seasonal epidemics (World Health Organization, 2023). Generally, people recover from influenza symptoms within a week, but hospitalizations due to severe illness or even death can occur among high-risk patients (World Health Organization, 2023). Each year there are estimated to be between three and five million cases of severe illness, with about 290,000 to 500,000 respiratory deaths. In Europe, the flu kills 30.8 people per 100,000 each year (Saloni, 2022). In lower-income countries, the estimates are less certain due to lower levels of testing and limited mortality records, but the flu is thought to be more deadly (Saloni, 2022).

Healthcare delivery systems work collaboratively to address global health concerns through prevention and health promotion. Organizations and stakeholders such as World Health Organization (WHO) and Centers for Disease Control and Prevention (CDC) are evident supporters of annual influenza vaccinations. These vaccinations have been around for more than 60 years and have been highly encouraged to prevent the disease or lessen the severity for those deemed high-risk (World Health Organization, 2023). Public health management supports personal protective measures such as regular hand hygiene, proper mechanics for respiratory hygiene i.e. sneezing into an elbow or covering a cough, early self-isolation, avoiding contact with sick people, and avoidance of touching eyes, nose, and mouth (World Health Organization, 2023). Organizations and stakeholders are constantly monitoring influenza activity to better prepare the healthcare workforce, the community, and the population as a whole to both decrease the mortality and incidence rates and improve health for all.

References

Saloni Dattani and Fiona Spooner (2022) – “How many people die from the flu?”. Published online at OurWorldInData.org. Retrieved from: ‘https://ourworldindata.org/influenza-deaths‘ [Online Resource]

World Health Organization. (2023). Influenza (seasonal). World Health Organization. https://www.who.int/news-room/fact-sheets/detail/influenza-(seasonal)#:~:text=People%20at%20greater%20risk%20of,diseases)%20and%20individuals%20with%20immunosuppressiv

Details:

The Epidemiology Paper is a practice immersion assignment designed to be completed in three sections. This is part two of the assignment. Learners are required to identify an at-risk population, how the health risk for this population can be affected by nursing science, and the potential obstacles that may hinder implementation of health prevention and promotion activities for this particular population.

General Guidelines:

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

• This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
• 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 requires that support your position by referencing at least six to eight scholarly resources. At least three of your supporting references must be from scholarly sources other than the assigned readings.
• You are required to submit this assignment to LopesWrite. Please refer to the directions in the Student Success Center.

https://www.google.com/Directions:

This assignment comprises the second part of the Epidemiology Paper. Write a 1,250-1,500 word paper that provides the following:

1. Identify an existing at-risk population. Using aggregated statistics, include identified criteria and data that substantiates why this population is at risk.
2. Using analyzed population data, identify a health risk within this population that nursing science can impact. Describe the specific variables. Provide SPSS data that correlates population to the identified health risk.
3. Identify potential obstacles that may hinder the implementation of the prevention and health promotion activities.
4. Identify stakeholders, individuals, and agencies with whom you may need to collaborate.

Portfolio Practice Hours:

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

You are required to complete your assignment using 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-825

I, (INSERT NAME), verify that I have completed (NUMBER OF) clock hours in association with the goals and objectives for this assignment. I have also tracked said practice 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.

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Epidemiology Paper Part Two – Analysis and Application  

	1 Unsatisfactory 0.00%	2 Less Than Satisfactory 74.00%	3 Satisfactory 79.00%	4 Good 87.00%	5 Excellent 100.00%
70.0 %Content
6.0 %Completed Changes and Corrected Errors to Subsequent Paper, Including Transitions for a Scholarly Paper	Learner did not attach previous paper and did not make changes as indicated.	N/A	Learner attached previous paper and has made changes as indicated. Learner needs to incorporate transitions to connect the ideas between the papers	Learner attached previous paper and has made changes as indicated. Learner needs to incorporate better transitions to connect the ideas between the papers.	Learner attached previous paper and has made changes as indicated. Learner has includes all necessary transitions to create a scholarly paper.
18.0 %Identifies Existing At-Risk Population (Aggregated Statistics Support Claims, Identifies Criteria and Data That Substantiates That the Population Is at Risk)	Paper does not establish that an existing population is at-risk using aggregated statistics. Paper does not accurately identify an existing at-risk population.	Paper uses aggregated statistics to demonstrate that an existing population may be at-risk, but does not identify criteria to substantiate why the population is at-risk.	Paper uses aggregated statistics to demonstrate that a population is at-risk. Paper identifies some criteria that explain why the population is at risk, but limited criteria does not substantiate why the population is at-risk.	Paper uses aggregated statistics to demonstrate that a population is at-risk and identifies common criteria that substantiates why the population is at-risk.	Paper uses aggregated statistics logically and accurately to demonstrate that a population is at-risk. Paper identifies strong criteria that substantiate why the population is at-risk.
18.0 %Population Analysis Identifies Health Risk Within Identified At-Risk Population That Nursing Science Can Impact (SPSS Data Correlates the Population to an Identified Health Risk; Describes Specific Variables)	Paper does not perform a population analysis based on SPSS data.	Population analysis is only partially based on SPSS data, and does not establish a correlation to a population or identified health risk that nursing science can impact. No specific variables are described.	SPSS data is used in the population analysis, but the analysis is flawed or incomplete, and only a weak correlation suggests that nursing science may have an impact on the health risk for the population. Some specific variables have been described for the identified population.	SPSS data is used in the population analysis, demonstrates a correlation to a population or identified health risk that nursing science can impact. Contributing variables have been identified for the population and health risk.	Population analysis uses SPSS data logically and accurately to demonstrate a strong correlation between a population or identified health risk that nursing science can impact. Contributing variables are identified, thoroughly explored, and supported by data.
18.0 %Identifies Collaborators, Potential Obstacles and Solutions; Defines Outcomes and Timeframes, and Uses Contemporary Theories or Concepts for Support	Paper does not identify collaborators or potential obstacles and solutions. Paper does not propose timeframe or use contemporary theories or concepts for support.	Some collaborators and obstacles have been identified, but no evidence is proposed to assess or resolve potential obstacles. No clear timeframe has been established. Contemporary theories or concepts are not used for support.	Potential collaborators and obstacles have been identified, but solutions for resolving conflict are vague. The timeframe has been established but is missing key elements needed. The use of contemporary theories and concepts is introduced.