Abstract
Mediation analysis is essential for understanding causal mechanisms and designing effective policy interventions. This paper explains a comprehensive framework for implementing VanderWeele’s (2009) three-way decomposition using natural effect models (NEM), focusing on its application in health equity research. While three-way decomposition helps social epidemiologists understand how social exposures influence health outcomes through differential mediator effects, its implementation through NEM has not been fully utilized. Using the R package medflex to implement NEM, we demonstrate the methodology through two case analyses: healthcare expenditure disparities between Medicaid beneficiaries and health insurance enrollees using continuous outcomes, and racial/ethnic disparities in preterm birth using binary outcomes. We provide detailed interpretations of NEM estimates in terms of three-way decomposition and discuss methodological considerations for researchers designing health policies to reduce disparities.
| Original language | English |
|---|---|
| Pages (from-to) | 1183-1193 |
| Number of pages | 11 |
| Journal | Prevention Science |
| Volume | 26 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - Dec 2025 |
Bibliographical note
Publisher Copyright:© Society for Prevention Research 2025.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Causal mediation analysis
- Differential effect
- Health inequalities
- Medflex
- Mediated interaction
- Natural effect models
- Three-way decomposition
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