How to Write MPH Dissertation for a Master’s in Public Health

MPH Dissertation Structure: Public Health Research Framework

The Master of Public Health (MPH) dissertation synthesizes epidemiological data, biostatistical analysis, and health policy formulation. Unlike undergraduate work, the MPH dissertation contributes original insights or systematic evaluation to population health. This guide outlines the structural requirements, methodological options, and data analysis standards for a successful defense.

Whether analyzing NHANES datasets or conducting qualitative community assessments, structure is critical. For students balancing practicum hours with writing, capstone project services provide structural guidance.

Chapter 1: The Public Health Problem

The introduction defines the research scope.

Problem Statement and Significance

Identify the health issue (e.g., “Type 2 Diabetes in rural adolescents”). Use epidemiological statistics (CDC, WHO) to prove urgency. Explain the impact on public health infrastructure.

Research Questions

Formulate measurable questions.
Quantitative: “Is there an association between food swamp density and BMI in County X?”
Qualitative: “What barriers prevent vaccine uptake among immigrant mothers in Urban Center Y?”

Chapter 2: Literature Review and Theory

This chapter situates the study within current knowledge.

Synthesis of Evidence

Synthesize findings to identify the Research Gap. Avoid listing studies sequentially. For proper attribution, see our citation and referencing resources.

Theoretical Models

Apply frameworks like the Social Ecological Model (SEM) or Health Belief Model. This provides a lens for interpreting behavioral or environmental factors.

Chapter 3: Methodology and Design

This chapter outlines the study protocol.

Study Design

Specify the design: Cross-Sectional, Case-Control, Cohort, or Mixed Methods. Justify the choice based on the research question.

Data Collection and Ethics

Detail the data source (Primary surveys or Secondary datasets like BRFSS). Confirm Institutional Review Board (IRB) approval status. Ethical compliance regarding participant confidentiality is mandatory.

Data Management and Cleaning

Before analysis, data must be cleaned.

The Codebook

Create a codebook defining all variables, labels, and coding schemes (e.g., 0=No, 1=Yes). This ensures reproducibility.

Handling Missing Data

Explain how missing values were handled (Listwise deletion, Multiple Imputation). Ignoring missing data introduces bias.

Chapter 4: Results

Present findings objectively.

Quantitative Reporting

Start with descriptive statistics (demographics). Proceed to inferential statistics (Chi-square, Logistic Regression). Use tables (APA format) to visualize trends. Report p-values and confidence intervals precisely.

Qualitative Themes

Present themes derived from coding (Thematic Analysis). Use direct participant quotes to support each theme.

Addressing Bias and Confounding

Acknowledge threats to validity.

• Selection Bias: Did the sample represent the target population?
• Confounding: Did variables like age or income distort the association? Explain how regression models controlled for these.
• Social Desirability Bias: Did participants underreport negative behaviors?

Chapter 5: Discussion and Policy

Interpret findings and propose applications.

Contextualization

Compare results with Chapter 2 literature. Explain discrepancies.

Recommendations

Based on findings, what interventions or policies are needed? Connect recommendations to Social Determinants of Health (SDOH).

The Oral Defense

The defense verifies your mastery. Prepare a slide deck summarizing the five chapters. Focus on the public health implications and your ability to answer methodological questions regarding bias and study limitations.

FAQs: MPH Dissertation Writing

Conclusion

Writing an MPH dissertation is an exercise in public health scholarship. By adhering to the five-chapter structure, ensuring methodological soundness, and translating findings into actionable policy, students demonstrate readiness to address population health challenges.