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Planning and Monitoring Equitable Clinical Trial Enrollment Using Goal Programming
This study introduces a goal-programming approach to create equitable enrollment plans for clinical trials. The model ensures diverse patient representation, improving the generalizability of treatment benefits across all populations.
Area of Science:
- Clinical Trials Methodology
- Health Equity Research
- Health Services Research
Background:
- Randomized clinical trials (RCTs) are crucial for evaluating treatment efficacy but often lack diverse patient representation.
- Enrollment plans may underrepresent patient groups with protected attributes (gender, race, ethnicity), limiting generalizability.
- Ensuring equitable participation in clinical trials is a key concern for major health organizations and policymakers.
Purpose of the Study:
- To propose a novel goal-programming approach for designing equitable enrollment plans in randomized clinical trials.
- To integrate measurable enrollment goals addressing patient representativeness and cost-efficiency.
- To enhance the validity of scientific analysis and subgroup disparity evaluations.
Main Methods:
- Developed a goal-programming model to create equitable enrollment plans for RCTs.
- Evaluated the model using enrollment data from the Systolic Blood Pressure Intervention Trial (SPRINT).
- Assessed model performance in single and multisite trial settings, including site selection strategies.
Main Results:
- The model successfully generated equitable enrollment plans satisfying multiple objectives, including sample representativeness and cost.
- The approach demonstrated the ability to detect and correct deviations from enrollment targets during the trial.
- Site selection strategies within the model showed potential for achieving nationally representative study populations.
Conclusions:
- The proposed goal-programming model offers a robust method for prospectively designing and retrospectively evaluating equitable RCT enrollment.
- This approach can improve the generalizability of trial findings and support the analysis of subgroup disparities.
- Implementing such models can lead to more inclusive and representative clinical research, ultimately benefiting diverse patient populations.
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