Dnp-825a-population management

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Population Health: Part I

This assignment will be completed in two parts. The purpose of this two-part assignment is to identify an at-risk population, evaluate the disparities contributing to their health issue, and propose an intervention to improve health for that community.



Population Health: Part I

This assignment will be completed in two parts. The purpose of this two-part assignment is to identify an at-risk population, evaluate the disparities contributing to their health issue, and propose an intervention to improve health for that community.

General Requirements

· A minimum of three to four scholarly or peer-reviewed research articles are required. Sources must be published within the last 5 years and appropriate for the assignment criteria and nursing content.

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

· You are required to submit this assignment to LopesWrite to verify similarity scores and check for plagiarism.  


The purpose of this assignment is to evaluate an at-risk population affected by a population-based health condition. You will use the topic you select here to complete Part II of this assignment.

Write a 750-1,000-word paper and include the following.

1. Refer to the topic Resource “Data and Statistics” for examples of population-based health conditions. Select a population-based health condition and a high-risk group affected by the population-based condition. An example of this would be looking at the prevalence rates of diseases (
population-based health condition) in vaccinated children versus groups where parents may withhold vaccinations because of feared side effects (
high-risk group).

2. Describe the high-risk group and population-based health condition you selected. Explain why this group is considered high-risk.

3. Compare the prevalence rate of the selected population-based health condition for this high-risk group between two similar areas (county to county, state to state, country to country). Refer to the topic Resources for assistance with your comparison.

4. Evaluate the social determinants that lead to disparities and health outcomes for your selected at-risk population and explain why they differ between your selected population and a population      of comparison from a similar area.

5. Discuss what evidence-based interventions have been introduced to try and improve the health outcomes for this high-risk population and whether they have been effective.

6. Discuss current electronic or online consumer health information available for the population on the health issue (e.g., the topic Resource, “Find and Compare Nursing Homes, Hospitals and Other Providers Near You”). 


Data and Statistics: Explore the Data and Statistics page of the Centers for Disease Control and Prevention (CDC) website.

Explore the County Health Rankings and Roadmaps website.

Loan, L. A., Parnell, T. A., Stichler, J. F., Boyle, D. K., Allen, P., VanFosson, C. A., & Barton, A. J. (2018). Call for action: Nurses must play a critical role to enhance health literacy.
Nursing Outlook, 66(1), 97-100.

Read Chapters 5-7 in
Population-Based Nursing: Concepts and Competencies for Advanced Practice.

Explore the Explore Health Rankings page of the County Health Rankings and Roadmaps website.

Explore the Community Health Assessments and Community Health Improvement Plans page of the Centers for Disease Control and Prevention (CDC) website.

Explore the Find and Compare Nursing Homes, Hospitals and Other Providers Near You page of the website.

Weis, J., (2021, April 6). 2021 County health rankings show gaps and health disparities for Latinos. Salud America!

DNP-825A-Population Management


How can large aggregated databases be used to improve population health? Provide an example of a current disease affecting your population of interest and explain what health promotion or disease prevention evidence-based strategies you would recommend and why. Explain how related data could improve your strategies to promote health and prevent disease. Support your response with relevant literature.


Aggregated databases are the type of databases that combine or accumulate full texts of electronic publications into an uncommon, identifiable, and searchable databases. These databases vary significantly in size, origin, scope, and price. Data is aggregated when data is gathered and expressed in a summary form. In the present-era of big data, most medical communities want to maximize the utilization and processing of their rapidly expanding medical datasets for clinical-related and policy-driven research. Hence, they need a medical database that can be aggregated, interpreted, and integrated at both the individual and population levels (Machluf et al., 2017). For instance, for many years PubMed suffered from author ambiguity problem. It only used internal metadata for development. However, some of them are incomplete (e.g., a large number of names are only abbreviated, and their full names are not available) or less discriminative. However, today it has presented a new disambiguation method by aggregating information from external databases (Zhang et ai., 2022).

Groups of patients can be characterized by analyzing aggregate data. This facilitates the ability of healthcare providers to recognize shared features that may indicate prognosis or reveal insights into optimal treatment. It sees widespread application in the field of disease prevention. Patient interviews, scientific studies, and statistical analysis can help with this. Using pooled information, scientists could discover causal relationships between smoking and lung cancer or between diabetes and physical activity. It’s a terrific tool for informing patients and doctors about the correlations between patients’ lifestyle choices and health outcomes (Hinds, 2017). The disease affecting my population is diabetes, and it has become a huge challenge where it burdens the healthcare system and affects people from engaging in their day-to-day operations. I recommend the evidence-based practice toward diabetes to be dietary interventions and physical activities for the population to avoid the disease. The change of lifestyle for the population is critical, where a change of diet based on the research on the best foods to take and the ones to avoid and recommending regular exercise that minimizes the risk factors like obesity (Hinds, 2017). Exercise and diet help reduce the disease’s risk factors, and prevention is a better intervention. Related data is critical for informed decision-making in the strategies adopted in managing diseases.


Hinds, P. (2017). Withholding, withdrawing or not analyzing data: Can researchers allow data to be silent?
 Cancer Nursing, 40(3), 173.

Machluf, Y., Tal, O., Navon, A., & Chaiter, Y. (2017). From population databases to research and informed health decisions and policy.
 Frontiers in Public Health, 5, 230.

Zhang, L., Huang, Y., Yang, J., & Lu, W. (2021). Aggregating large-scale databases for PubMed author name disambiguation.
 Journal of the American Medical Informatics Association : JAMIA, 28(9), 1919-1927.


Thank you for your response. Consider your DPI project. What type of data would you be interested in collecting for your patient population? Why?

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