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Three-Way Decomposition for Applied Health Equity Research: A Practical Tutorial to Understand and Address Inequalities

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)1183-1193
Number of pages11
JournalPrevention Science
Volume26
Issue number8
DOIs
Publication statusPublished - Dec 2025

Bibliographical note

Publisher Copyright:
© Society for Prevention Research 2025.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    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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