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Updated: Jan 27, 2026

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Enrollment Patterns and Site-Level Predictors of Black Participant Recruitment to a Multisite Randomized Cancer
Joannie M Ivory1, Heather J Gunn2, Stephanie B Wheeler1
1University of North Carolina at Chapel Hill, Chapel Hill, NC.
JCO Oncology Advances
|January 26, 2026
Summary
Site-level factors like neighborhood racial composition and geographic region influence Black participant accrual in clinical trials. Identifying diverse sites is key to improving trial representation and generalizability.
Area of Science:
- Clinical Trials
- Health Equity
- Oncology Research
Background:
- Clinical trial diversity is crucial for generalizability and equitable access.
- Patient-level factors are often the focus of research on trial accrual barriers.
- Site-level factors influencing trial diversity remain underexplored.
Purpose of the Study:
- To identify site-level characteristics associated with the accrual of Black and younger participants in a multicenter clinical trial.
- To address the lack of race and age diversity in clinical trials.
Main Methods:
- Analysis of Alliance 191901 (GETSET) trial data, which oversamples Black women and those under 50.
- Examined associations between site characteristics (region, neighborhood racial composition, site type, accrual volume) and participant race/age.
- Assessed accrual trajectories over time for different demographic subgroups.
Main Results:
- Southern sites and those in neighborhoods with higher Black composition recruited a greater proportion of Black participants.
- Site type and historical accrual volume were not associated with Black participant recruitment.
- Recruitment of Black participants lagged behind targets, while non-Black participant recruitment exceeded targets.
Conclusions:
- Neighborhood composition and geographic region are significant predictors of Black participant accrual.
- Site type and historical accrual volume do not predict Black participant recruitment.
- Targeted site selection based on neighborhood demographics and geography can enhance clinical trial diversity.
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