What matters most: quantifying an epidemiology of consequence

Area of Science:

• Epidemiology
• Public Health Science
• Causal Inference

Background:

• Risk factor epidemiology has driven significant public health advancements.
• Current epidemiological focus emphasizes precise estimation of causal effects of specific exposures on outcomes.
• This narrow focus may detract from understanding the complex causal systems underlying population health.

Purpose of the Study:

• To advocate for a paradigm shift in epidemiology.
• To encourage a broader engagement with the causal architecture of population health.
• To promote critical reflection on epidemiological methods and their impact on public health.

Main Methods:

• Conceptual analysis and argumentation.
• Critique of current epidemiological practices.
• Proposal for reorientation of epidemiological research questions and methods.

Main Results:

• The current emphasis on precise causal effects may limit epidemiology's ability to address complex population health challenges.
• A broader causal perspective is necessary for impactful public health interventions.
• Revising the discipline's priorities, values, and educational approaches is crucial.

Conclusions:

• Epidemiology needs to move beyond a sole focus on risk factor estimation.
• Engaging with the broader causal architecture is essential for improving population health.
• A critical re-evaluation of epidemiological questions, methods, and teaching is required for greater consequence.