
Hosted by Stefany Goradia · EN
Short Talks on Deep Thoughts: Learn something new, spark fresh ideas, and see healthcare in a whole new light, whether you're a newcomer or an expert. Each micro-dive breaks down a new topic in healthcare to consider—what the data shows, why those patterns may exist, and how we can use that knowledge to build a better system for all. This unique podcast is meticulously curated with an expert human touch and impartially delivered with AI, ensuring an approachable presentation of facts and ideas.

What if we could predict how health trends shift by simulating real-world interactions—like the impact of a new policy, the placement of a grocery store, or the launch of an outreach program? In this episode, we take a micro-dive into agent-based modeling (ABM), a powerful yet underused method for exploring how individual behaviors and social factors shape health outcomes. ABM helps uncover unexpected connections and offers a fresh lens for tackling disparities and testing interventions. If traditional models have ever felt overly simplistic or incomplete, this episode will show you why ABM might be the game-changer population health has been waiting for.Learn more about Agent-Based Modeling and find some resources from Columbia's Mailman School of Public Health here. Sources:Badham, J., Chattoe-Brown, E., Gilbert, N., Chalabi, Z., Kee, F., & Hunter, R. F. (2018). Developing agent-based models of complex health behaviour. Health & Place, 54, 170–177. https://doi.org/10.1016/j.healthplace.2018.08.022Boyd, J., Wilson, R., Elsenbroich, C., Heppenstall, A., & Meier, P. (2022). Agent-Based Modelling of Health Inequalities following the Complexity Turn in Public Health: A Systematic Review. International Journal of Environmental Research and Public Health, 19(24), 16807. https://doi.org/10.3390/ijerph192416807Maglio, P. P., & Mabry, P. L. (2011). Agent-Based Models and Systems Science Approaches to Public Health. American Journal of Preventive Medicine, 40(3), 392–394. https://doi.org/10.1016/j.amepre.2010.11.010Silverman, E., Gostoli, U., Picascia, S., Almagor, J., McCann, M., Shaw, R., & Angione, C. (2021). Situating agent-based modelling in population health research. Emerging Themes in Epidemiology, 18(1), 10. https://doi.org/10.1186/s12982-021-00102-7Tracy, M., Cerdá, M., & Keyes, K. M. (2024). Agent-Based Modeling in Public Health: Current Applications and Future Directions. Annual Review of Public Health, 39(1), 77–94. https://doi.org/10.1146/annurev-publhealth-040617-014317______________________________ This episode has been expertly curated and meticulously refined by humans, with AI co-hosts presenting a clear, educational, and impartial summary of the key ideas. Subscribe to our monthly educational newsletter and browse previous editions at: https://healtheq.io/newsletter

How do you measure progress toward health equity—and ensure it leads to real change? In this episode, we dive into the complexities of creating metrics that reveal the full picture. We explore the Health Equity Measurement Framework’s focus on social determinants and causal pathways, alongside national strategies for tracking disparities. Discover why addressing within-group heterogeneity, balancing relative and absolute values, and segmenting data by subgroups are essential for designing programs that truly make an impact. This episode is a must-listen for anyone working to understand and improve health outcomes.Sources:Dover, D. C., & Belon, A. P. (2019). The health equity measurement framework: A comprehensive model to measure social inequities in health. International Journal for Equity in Health, 18(1), 36. https://doi.org/10.1186/s12939-019-0935-0Penman-Aguilar, A., Talih, M., Huang, D., Moonesinghe, R., Bouye, K., & Beckles, G. (2016). Measurement of Health Disparities, Health Inequities, and Social Determinants of Health to Support the Advancement of Health Equity. Journal of Public Health Management and Practice, 22(Supplement 1), S33–S42. https://doi.org/10.1097/PHH.0000000000000373______________________________ This episode has been expertly curated and meticulously refined by humans, with AI co-hosts presenting a clear, educational, and impartial summary of the key ideas. Subscribe to our monthly educational newsletter and browse previous editions at: https://healtheq.io/newsletter

What’s the real difference between public health and population health—and why does it matter? In this episode, we explore the nuanced distinctions and unexpected connections between these two critical fields: past, present, and future. From the broad interventions of public health, tracing back to ancient Greece, to population health’s focused lens on disparities and the “why” behind them, we examine how these approaches truly complement each other. Through real-world examples, we show why breaking down silos between these fields is essential to address modern health challenges—challenges that increasingly extend beyond the “four walls” of the healthcare system. Sources:Baba, Z., Belinske, S., & Post, D. (2018). Public Health, Population Health, and Planning: Delaware Journal of Public Health, 4(2), 14–18. https://doi.org/10.32481/djph.2018.03.004Bhosale, A. S., Urquhart, O., Carrasco‐Labra, A., Mathur, M. R., Rafia, K., & Glick, M. (2024). Population health and public health: Commonalities and differences. Journal of Public Health Dentistry, jphd.12651. https://doi.org/10.1111/jphd.12651Chokshi, D. A., & Mohta, N. S. (2021). Public Health and Population Health: Are They the Same Thing? NEJM Catalyst, 2(2), CAT.20.0653. https://doi.org/10.1056/CAT.20.0653______________________________ This episode has been expertly curated and meticulously refined by humans, with AI co-hosts presenting a clear, educational, and impartial summary of the key ideas. Subscribe to our monthly educational newsletter and browse previous editions at: https://healtheq.io/newsletter

What do astronomy, Darwin, and population health have in common? More than you might think. In this episode, we unpack the false dichotomy of individual versus population health, tracing how it came to be and how they are actually inextricably linked. From the outdated "average man" concept inspired by astronomy to Darwin's revolutionary embrace of variation, we explore the dynamic nature of health outcomes to illustrate why traditional models fail to capture the complexity of populations, how "structured chance" drives health disparities, and how conceptualizing populations as "living organisms" could offer a transformative approach. Prepare to see health—and its interconnected systems—in a whole new light. Sources:Arah, O. A. (2009). On the relationship between individual and population health. Medicine, Health Care and Philosophy, 12(3), 235–244. https://doi.org/10.1007/s11019-008-9173-8Krieger, N. (2012). Who and What Is a “Population”? Historical Debates, Current Controversies, and Implications for Understanding “Population Health” and Rectifying Health Inequities. The Milbank Quarterly, 90(4), 634–681. https://doi.org/10.1111/j.1468-0009.2012.00678.xItchhaporia, D. (2021). Population Health. Journal of the American College of Cardiology, 78(15), 1569–1572. https://doi.org/10.1016/j.jacc.2021.09.001______________________________ This episode has been expertly curated and meticulously refined by humans, with AI co-hosts presenting a clear, educational, and impartial summary of the key ideas. Subscribe to our monthly educational newsletter and browse previous editions at: https://healtheq.io/newsletter

To kick off, we're laying some critical groundwork. Population health: it’s a term you’ve likely heard, but do we really understand what it means? In this episode, we dive into the misunderstood and often misused concept. Drawing on insights from seminal works and critiques, we unpack the original definition of population health and explore how it has evolved over time. We also tackle how “population health management” in healthcare risks diluting the original intent by focusing on administrative matters, and why a broader approach matters for health professionals, policymakers, and anyone committed to more equitable healthcare systems.What we learn about population health over the next few episodes will set the stage for all future conversations on health EQ.Sources:Diez Roux, A. V. (2016). On the Distinction—Or Lack of Distinction—Between Population Health and Public Health. American Journal of Public Health, 106(4), 619–620. https://doi.org/10.2105/AJPH.2016.303097Kindig, D., & Stoddart, G. (2003). What is population health? American Journal of Public Health, 93(3), 380–383. https://doi.org/10.2105/ajph.93.3.380Krieger, N. (2012). Who and What Is a “Population”? Historical Debates, Current Controversies, and Implications for Understanding “Population Health” and Rectifying Health Inequities. The Milbank Quarterly, 90(4), 634–681. https://doi.org/10.1111/j.1468-0009.2012.00678.xSteenkamer, B. M., Drewes, H. W., Heijink, R., Baan, C. A., & Struijs, J. N. (2017). Defining Population Health Management: A Scoping Review of the Literature. Population Health Management, 20(1), 74–85. https://doi.org/10.1089/pop.2015.0149World Health Organization (WHO). Promoting Health in All Policies and intersectoral action capacities. (n.d.). https://www.who.int/activities/promoting-health-in-all-policies-and-intersectoral-action-capacities______________________________ This episode has been expertly curated and meticulously refined by humans, with AI co-hosts presenting a clear, educational, and impartial summary of the key ideas. Subscribe to our monthly educational newsletter and browse previous editions at: https://healtheq.io/newsletter

Bite-sized episodes designed to spark ideas and change the way you think about healthcare—welcome to health EQ, a podcast that unpacks data, research, and theories shaping U.S. healthcare. Whether you’re new to the field or are a seasoned expert, each episode breaks down big topics into short, clear, useful conversations about how we can use this knowledge to create a better system for everyone. Created by Stefany Goradia, health EQ discusses complex topics through a contextual lens to understand the decisions and outcomes we see—delivered with the help of AI co-hosts to make even the toughest topics easy to understand.______________________________ This episode has been expertly curated and meticulously refined by humans, with AI co-hosts presenting a clear, educational, and impartial summary of the key ideas. Subscribe to our monthly educational newsletter and browse previous editions at: https://healtheq.io/newsletter