Malignant Solid Neoplasm Clinical Trial
Official title:
The Ohio State University Connecting Underrepresented Populations to Clinical Trials (CUSP2CT) Project
This clinical trial tests the impact of the The Ohio State University Connecting Underrepresented Populations to Clinical Trials (CUSP2CT) project on clinical trial referrals and enrollment in racial/ethnic minorities. Progress in cancer prevention, detection and treatment can only be made by identifying and validating new and improved methods, compounds and modalities in clinical trials. Unfortunately, participation in clinical trials is not equal across all racial and ethnic groups, limiting progress against cancer in all population groups and further widening the disparity gap. To change this picture, concerted effort needs to be directed both at the communities at risk for being left out of trials and the systems that cause the disparities at all levels involved in accrual to clinical trials. The CUSP2CT project may have the potential to increase referral and accrual of racial/ethnic minorities to prevention/control and treatment trials.
Status | Recruiting |
Enrollment | 208 |
Est. completion date | December 31, 2025 |
Est. primary completion date | December 31, 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | N/A and older |
Eligibility | Inclusion Criteria: - Phase I: 9 counties in the OSUCCC catchment area - Phase II: Patients, providers, and hospital systems/referral centers that directly addresses challenges identified in Phase I - Phase II: The project will involve the OSUCCC, the OSU James Cancer Network sites and the Columbus and Dayton NCORP sites |
Country | Name | City | State |
---|---|---|---|
United States | Ohio State University Comprehensive Cancer Center | Columbus | Ohio |
Lead Sponsor | Collaborator |
---|---|
Ohio State University Comprehensive Cancer Center | National Cancer Institute (NCI) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in referral to clinical trials (CTs) (short-term outcomes) | Calculate change in clinical trial referrals | Baseline to 24 months | |
Primary | Change in accrual of minorities to CTs (short-term outcomes) | Calculate the change in clinical trial minority enrollments | Baseline to 24 months | |
Primary | CT accrual and retention due to patient navigation (short-term outcomes) | Calculate accrual and retention rates | Baseline to 24 months | |
Primary | Identification of program gaps in trial accrual (long-term outcomes) | Define gaps in trial accrual | Up to 24 months | |
Primary | Uptake of program in other clinics (long-germ outcomes) | Calculate the number of clinics who adapt program | Up to 24 months | |
Secondary | Probability of trial enrollment and retention | Recent regression models used for stepped wedge designs that flexibly model the effect curve of the intervention over time. Effect estimates and 95% confidence intervals will accompany significance tests, and graphical displays of the final effect curve will aid in understanding the efficacy of the intervention. | Up to 24 months |
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