NR-503: Population Health, Epidemiology and Statistical Principles

Course Assessment: Population Health Research Project

Overview and Purpose

This assignment focuses on the application of epidemiological methods to identify and analyze a specific health disparity within a vulnerable population. Students must integrate statistical principles to evaluate health outcomes and propose evidence-based interventions designed to improve community wellness. The goal is to move beyond clinical observations to a macro-level understanding of health determinants.

Assignment Instructions

1. Identify a Population and Health Issue: Select a specific vulnerable group (e.g., rural elderly, migrant workers, or inner-city adolescents) and a correlating health concern (e.g., Type 2 Diabetes, Opioid Use Disorder, or Maternal Mortality).

2. Epidemiological Analysis: Use current data to describe the distribution and determinants of the health issue. Include prevalence, incidence, and mortality rates where applicable.

3. Social Determinants of Health (SDOH): Analyze how environmental, social, and economic factors influence the chosen health issue within this population.

4. Statistical Interpretation: Evaluate a minimum of two peer-reviewed studies related to your topic. Deconstruct the statistical methods used (e.g., p-values, confidence intervals, or odds ratios) and explain their clinical significance.

5. Intervention and Policy Proposal: Develop a population-level intervention or policy change based on your findings. Explain how this intervention addresses the “Triple Aim” of healthcare: improving the patient experience, improving the health of populations, and reducing costs.

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Discussion Board Participation

• Initial Post: Due by Wednesday. Provide a 300-word summary of your chosen population and the primary epidemiological data point that justifies your focus.

• Peer Responses: Due by Sunday. Respond to at least two classmates. Your feedback must include one additional SDOH that may impact their chosen population and a recommendation for a relevant data source.

Evaluation Criteria

• Analysis Depth: Evidence of critical thinking regarding epidemiological trends.

• Application of Statistics: Accuracy in interpreting research data and statistical significance.

• Evidence-Based Support: Integration of high-quality, peer-reviewed literature.

• Clarity and Structure: Professional tone, logical flow, and adherence to APA formatting.

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This guide streamlines the transition from theoretical epidemiology to practical application, ensuring students can effectively interpret complex data to improve community health outcomes. Analyzing health through a statistical lens allows for the identification of systemic gaps that individual clinical care may overlook.

Learning Materials and Peer-Reviewed Resources

1. Braveman, P., Arkin, E., Orleans, T., Proctor, D., and Plough, A. (2022). What Is Health Equity? And What Differences Does a Health Equity Approach Make?. Princeton: Robert Wood Johnson Foundation.

2. Curley, A.L.C. (2020). Population-Based Nursing: Concepts and Competencies for Advanced Practice. 3rd edn. New York: Springer Publishing Company.

3. Friis, R.H. and Sellers, T. (2021). Epidemiology for Public Health Practice. 6th edn. Burlington: Jones & Bartlett Learning.

4. Galea, S. (2023). ‘The Social Determinants of Health: A Primer’, American Journal of Public Health, 113(3), pp. 280–285.

5. World Health Organization (2024). World Health Statistics 2024: Monitoring Health for the SDGs. Geneva: World Health Organization.