Public health depends on understanding patterns. Who is developing a disease? Who has access to preventive care? Which communities experience worse outcomes, and what circumstances help explain the difference?
The answers become less useful when broad categories hide important distinctions within a population. Age, race, gender, income, disability, geography and other factors do not operate independently in people’s lives. They can overlap with social conditions and systems that shape exposure to health risks, access to resources and experiences with healthcare.
Intersectionality gives public health professionals a way to examine that complexity. The concept asks researchers and practitioners to look beyond one characteristic at a time and consider how overlapping identities and systems of advantage or disadvantage may affect health.1 In a field devoted to improving population health, that perspective matters because a solution designed around the “average” experience may fail to reach people whose experiences fall outside it.
Understanding intersectionality in public health can help you ask better research questions, recognize health inequities that aggregated data may obscure and develop responses that reflect the lives of the people they are intended to serve. Keep reading to explore how intersectionality shapes healthcare, health inequities, public health policy and global health.
Key takeaways
- Intersectionality examines how overlapping identities and systems of advantage or disadvantage can shape people’s experiences and health outcomes
- An intersectional approach can reveal differences that may disappear when researchers study demographic characteristics separately
- Public health programs and policies are more likely to address health inequities when they account for the circumstances affecting specific populations
- Intersectionality has applications in research, healthcare, public health policy and global health
- Epidemiologists can contribute by asking questions and analyzing data in ways that preserve meaningful differences within populations
Defining Intersectionality in Healthcare
Legal scholar Kimberlé Crenshaw introduced the term “intersectionality” in 1989 while examining how Black women’s experiences of discrimination could be overlooked when race and gender were treated as separate categories.2 The concept grew from Black feminist scholarship and has since influenced research in fields including public health.
Applied to health, intersectionality is not simply a matter of adding demographic characteristics to a list. The National Institutes of Health describes the framework as a way to examine how multiple disadvantaged social statuses interact in people’s lived experiences while reflecting broader systems of privilege and oppression.1
That distinction is important. Suppose researchers find a health disparity associated with race. Examining race alone may identify a meaningful pattern, but it may not explain how that pattern differs according to gender, income, disability, geographic location or other circumstances. A separate analysis of those factors can also miss what happens when they overlap.
Intersectionality in healthcare encourages a more specific question: Whose experience might be hidden inside the larger category?
The World Health Organization (WHO), for example, notes that gender interacts with inequalities associated with factors including socioeconomic status, disability, age and geographic location.3 Those intersections may affect exposure to health risks as well as access to appropriate care.
For researchers, clinicians and public health professionals, the goal is not to divide populations into ever-smaller labels. It is to understand which differences matter to health and why. That understanding can help professionals recognize where existing research, services or interventions may leave important needs unaddressed.
How Does Intersectionality Relate to Health Inequities?
Health inequities do not necessarily have a single cause. Housing, employment, income, discrimination, environmental conditions and access to healthcare may combine differently across communities and throughout a person’s life. An intersectional framework helps researchers examine those relationships rather than assuming that a single factor explains an outcome.
Research on health equity has identified intersectionality as a useful lens for studying social determinants of health and the relationships between systems of disadvantage and privilege.4 More recent population health research has also examined how structural conditions can interact to shape health across groups.5
Consider geography. People who live far from healthcare services may experience access challenges, but the consequences may differ for an older adult who cannot drive, a person with a disability who needs accessible transportation or a household that cannot afford to miss work for a distant appointment. “Rural resident” may describe all of them, but it does not fully explain any one of their circumstances.
The same principle applies to the data epidemiologists use. A population-level average may show that an intervention is working overall while concealing groups for whom outcomes remain unchanged or worsen. Researchers who examine meaningful intersections within the population may uncover patterns that point toward different risk factors or barriers.
That is one reason efforts to reduce health disparities require more than identifying which groups have worse outcomes. Public health professionals also need to understand the conditions contributing to those differences. Intersectionality provides a framework for asking what an average cannot tell you.
The Impact of Intersectionality in Public Health Policy
Public health interventions inevitably make assumptions about the people they are intended to reach. A vaccination campaign assumes people can access the vaccine. A screening initiative assumes they can reach a screening location. A health communication campaign assumes its message reaches the intended audience in a language and format they can use. Those assumptions deserve scrutiny.
WHO emphasizes that addressing discrimination in health requires attention to overlapping factors such as gender, race, ethnicity, disability and socioeconomic status.6 For policymakers and program planners, that means asking who may encounter barriers before an initiative is launched rather than discovering afterward that some communities were poorly served. It may influence where services are offered, how information is communicated, what data are collected and which community members participate in program design.
A one-size-fits-all intervention can appear equitable because everyone receives the same thing. Equal delivery, however, does not guarantee equal access or benefit. A stronger public health approach considers whether different populations have a meaningful opportunity to use the resources being offered.
Intersectionality, therefore, has practical value in policy. It helps move the conversation from “Who is this program for?” to “Who might this program still fail to reach?”
Exploring Intersectionality in Global Health
The need for context becomes even clearer in global health. Strategies developed for one population cannot effectively be transferred to another without considering differences in culture, economic conditions, healthcare infrastructure and social relationships.
WHO offers a telling example involving maternal health in Latin America and the Caribbean. Indigenous women experience worse maternal health outcomes than non-Indigenous women and are less likely to benefit from healthcare services. WHO points to factors such as language, religion, territory and place of residence as considerations when examining inequities in healthcare coverage.3
That example illustrates why intersectionality in global health matters. “Women” are not a single population with identical health risks or access to care. Neither are people who share an ethnicity, income level or geographic region. The interaction among those circumstances may reveal who encounters the greatest barriers and which barriers public health initiatives need to address.
Effective public health policy can have impacts that extend across borders, making it especially important to understand the populations those policies may affect. Public health professionals need evidence about the population itself: who is affected, how circumstances differ within the group and what social or structural conditions influence outcomes.
That work is especially relevant to epidemiology. Epidemiologists turn population data into evidence about patterns, causes and risks. An intersectional perspective can help ensure that the categories used to organize that data do not erase the very differences researchers need to see.
Develop the Skills to See What the Data Might Be Hiding
Intersectionality makes public health more demanding in a productive way. It asks professionals to resist easy assumptions about populations and look more closely at how people’s circumstances affect their health. For an epidemiologist, that means approaching data not simply as numbers to analyze but as evidence drawn from lives that may differ in important ways.
Advanced training can help you develop the research and analytical skills to investigate those differences.
Kent State University’s online Master of Public Health in Epidemiology prepares you to study the distribution and determinants of disease in populations and apply quantitative and qualitative methods to public health questions. The curriculum includes epidemiologic research, biostatistics and the study of social determinants of health, giving you tools to examine both health patterns and the conditions that may contribute to them.
If your interests center more specifically on research involving diseases, treatments and patient outcomes, Kent State’s online Master of Science in Clinical Epidemiology develops advanced expertise in epidemiologic research methods and biostatistics for clinical research. Both STEM-designated programs are delivered 100% online, allowing you to strengthen your research capabilities while continuing your professional responsibilities.
The value of that preparation reaches beyond mastering a particular statistical method. Public health needs professionals who know how to question what the data appear to say, recognize whose experiences may be obscured and design research that produces a more complete picture of health.
Explore Kent State University’s online MPH in Epidemiology and online MS in Clinical Epidemiology programs to find the path that best matches the questions you want to investigate. After reviewing the admission requirements, you can contact us directly or schedule a conversation with an admissions outreach advisor to discuss how graduate study can help you develop the expertise to pursue them.
- Retrieved on September 25, 2026, from pmc.ncbi.nlm.nih.gov/articles/PMC7750592/
- Retrieved on September 25, 2026, from scholarship.law.columbia.edu/faculty_scholarship/3007/
- Retrieved on September 25, 2026, from who.int/news-room/questions-and-answers/item/gender-and-health
- Retrieved on September 25, 2026, from ncbi.nlm.nih.gov/books/NBK595256/
- Retrieved on September 25, 2026, from pmc.ncbi.nlm.nih.gov/articles/PMC8628816/
- Retrieved on September 25, 2026, from who.int/news-room/fact-sheets/detail/human-rights-and-health
