Related Experiment Videos
Why Evidence Is Not Enough: Power, Politics, and a Strategy Shift for Public Health
1Population Health Institute, University of Wisconsin & the Health & Power Organizing Project.
The Milbank Quarterly
|August 8, 2026
Summary
Public health needs to regain political influence by shifting from knowledge and moral authority to building people power, strengthening ideological power, and using nonviolent disruption. This strategic change is crucial for shaping societal rules and improving population health outcomes.
Area of Science:
- Political Science and Public Health
- Power Dynamics in Health Policy
- Social Determinants of Health
Background:
- Public health's political influence has declined due to a power mismatch.
- The field relies on knowledge and moral authority, insufficient against economic and political power.
- Challenges include political backlash and policy retrenchment despite strong evidence.
Purpose of the Study:
- To analyze the forms of power available to public health practitioners.
- To understand how to counter detrimental policies and institutional arrangements.
- To propose strategies for rebuilding public health's political influence.
Main Methods:
- Conceptual analysis using an established typology of power.
- Examination of power forms wielded by public health and opposing actors.
- Application of power dynamics theory to public health challenges.
Main Results:
- Public health's reliance on knowledge and moral power is insufficient against economic, political, ideological, and physical power.
- Neoliberal political economy favors actors with economic and political power.
- People power, ideological power, and nonviolent disruptive power are identified as crucial for public health influence.
Conclusions:
- A strategic shift is necessary: build people power via partnerships, strengthen ideological power through narrative infrastructure, and use nonviolent disruptive power when needed.
- Public health must engage more deliberately with power and politics, not just evidence.
- Rebuilding influence requires a multifaceted approach beyond traditional methods.
Related Concept Videos
Causality in Epidemiology
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
Criteria for Causality: Bradford Hill Criteria - II
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
Bias in Epidemiological Studies
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Steps in Outbreak Investigation
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
Principles of Disease Surveillance
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
Strategies for Assessing and Addressing Confounding
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...