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An intersectionality framework for identifying relevant covariates in health equity research.

Andrew Simkus1, Kristen D Holtz1, Eric C Twombly1

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Intersectionality is a framework to improve health equity research by identifying experiential factors. This approach helps prevent interventions from worsening health disparities, leading to more effective solutions.

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Area of Science:

  • Health Equity Research
  • Impact Evaluation
  • Intersectionality Theory

Background:

  • Health equity research aims to reduce health disparities through impact evaluations.
  • Failure to account for experiential factors in research can perpetuate or worsen health inequities.
  • Identifying and including diverse experiential variables is crucial for accurate health equity evaluations.

Purpose of the Study:

  • To promote intersectionality as a framework for selecting covariates in health equity impact evaluations.
  • To identify overlooked experiential factors that influence health equity.
  • To enhance the precision of health equity interventions.

Main Methods:

  • Review and definition of health equity concepts and terminology.
  • Detailed exploration of four domains of intersecting experiential factors: Biological, Social, Environmental, and Economic.
  • Application of the intersectionality framework to lupus research and minority patient evaluations.

Main Results:

  • The intersectionality framework aids in identifying relevant covariates for health equity evaluations.
  • Examples provided illustrate the framework's application in lupus research.
  • Specific covariates used in health equity impact evaluations with lupus patients are presented.

Conclusions:

  • Applying an intersectionality framework during covariate selection is key to achieving precision prevention.
  • This approach provides a basis for identifying meaningful covariates to address persistent health inequities.
  • The framework helps in developing sustainable solutions for health equity challenges.