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Planning and Monitoring Equitable Clinical Trial Enrollment Using Goal Programming
Abstract:
Randomized clinical trial (RCT) studies are the gold standard for scientific evidence on treatment benefits to patients. RCT outcomes may not be generalizable to clinical practice if the trial population is not representative of the patients for which the treatment is intended. Specifically, enrollment plans may not adequately include groups of patients with protected attributes, such as gender, race, or ethnicity. Inequities in RCTs are a major concern for funding agencies such as the National Institutes of Health (NIH) and for policy makers. We address this challenge by proposing a goal-programming approach, explicitly integrating measurable enrollment goals, to design equitable enrollment plans for RCTs. We evaluate our model in both single and multisite settings using the enrollment criteria and study population from the Systolic Blood Pressure Intervention Trial (SPRINT) study. Our model can successfully generate equitable enrollment plans that satisfy multiple goals such as sample representativeness and minimum total financial cost. Our model can detect deviations from a target plan during the enrollment process and update the plan to reduce deviations in the remaining process. Finally, through appropriate site selection in the planning stage, the model can demonstrate the possibility of enrolling a nationally representative study population if geographic constraints exist in multisite recruitment (e.g., clinical centers in a particular region). Our model can be used to prospectively produce and retrospectively evaluate how equitable enrollment plans are based on subjects' protected attributes, and it allows researchers to provide justifications on validity of scientific analysis and evaluation of subgroup disparities.
Insights
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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