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Optimizing Interventions for Equitability: Some Initial Ideas
Jillian C Strayhorn1, David J Vanness2, Linda M Collins3
1Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, USA. jcs9972@nyu.edu.
Summary
Optimizing public health interventions using the multiphase optimization strategy (MOST) can promote health equity. Considering intervention equitability alongside effectiveness and efficiency ensures benefits reach all populations, not just the advantaged.
Area of Science:
- Public Health
- Health Equity Research
- Intervention Science
Background:
- Interventions can improve public health and reduce disparities.
- Health equity requires equitable distribution of intervention benefits.
- Current optimization methods may not prioritize equitability.
Purpose of the Study:
- Introduce a principled approach to optimize interventions for health equity.
- Define and operationalize intervention equitability within optimization frameworks.
- Demonstrate how to balance equitability with other optimization criteria.
Main Methods:
- Utilized the multiphase optimization strategy (MOST) framework.
- Defined intervention equitability as even distribution of health benefits.
- Employed a hypothetical case study with simulated data.
Main Results:
- MOST can be adapted to strategically balance effectiveness and equitability.
- Considering equitability can alter the composition of optimized interventions.
- Simulations showed distinct intervention profiles with and without equitability as a criterion.
Conclusions:
- Optimizing interventions for equitability is feasible and essential for health equity.
- Integrating equitability into optimization frameworks requires careful consideration of criteria.
- Further research is needed to advance the optimization of interventions for health equity.
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