Blue-Button Regional Trial Screening
Evaluating the Effectiveness of Blue-Button Automated Clinical Trial Prescreening on Regional Enrollment: a Randomized Trial
1 other identifier
interventional
1,050
1 country
2
Brief Summary
Enrollment in clinical trials predicts better survival in the most common cancer types including breast cancer, and testing and proving the efficacy of new treatments relies on successfully conducting clinical trials. However, approximately one fifth of cancer clinical trials fail due to insufficient patient enrollment, and only about 6% of adult cancer patients are enrolled onto clinical trials. Barriers remain for patient participation in clinical trials, especially for cancer patients. One specific barrier is trial identification and awareness of trial availability for both patients and providers. This trial tests the hypothesis that by integrating clinical trial eligibility screening into part of routine care in a way that requires little effort and by making that screening site agnostic, the Blue-Button matching functionality will increase overall cancer clinical trial enrollment, and may also result in more diverse clinical trial participants that better reflect the U.S. cancer population. Moreover, regardless of changes in enrollment, the Blue-button screening may allow screening to be done more quickly with fewer human resources when compared to current methods. Identification of potential trial opportunities, however, is only the first barrier to trial enrollment, so this study includes additional examination of barriers subsequent to the identification of relevant trials by cataloging patient-level barriers that prevent enrollment of patients in identified trials.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable cancer
Started Dec 2023
Typical duration for not_applicable cancer
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 12, 2023
CompletedFirst Posted
Study publicly available on registry
June 2, 2023
CompletedStudy Start
First participant enrolled
December 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
June 1, 2026
ExpectedJanuary 29, 2025
January 1, 2025
2 years
May 12, 2023
January 27, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Rate of clinical trial participation
To evaluate the effectiveness of an automated clinical trial prescreening tool ("Blue-button") in increasing enrollment in clinical trials compared to standard practice.
Trial participation will be recorded for each patient for the duration of the trial, up to 24 months.
Secondary Outcomes (2)
Participant reports on Blue-button tool usability
Quarterly surveys of research staff for the duration of the trial, up to 24 months.
Patient reasons for non-enrollment
Surveys will be administered within 15 days (+/- 10 days) after patients inform their provider of their choice not to enroll, through study completion (up to 24 months).
Study Arms (2)
Standard of Care
NO INTERVENTIONSubjects in this arm will receive the standard of care, either routine screening for clinical trials or no screening, according to standard institutional protocol. Potential clinical trials, if identified, will be offered to subjects according to the usual institutional process.
Blue-button screening
EXPERIMENTALSubjects assigned to this arm will have deidentified data elements transferred from their EHR to the Blue-button tool for identification of clinical trials for which they may be eligible. After review by clinical research staff, appropriate trials will be offered to subjects.
Interventions
Patients will be screened for clinical trial matches using the Blue-button tool
Eligibility Criteria
You may qualify if:
- Adult cancer patients attending clinic visit at which they would be screened for clinical trial participation
You may not qualify if:
- under age 18 years
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
University of South Florida
Tampa, Florida, 33602, United States
University of Texas Southwestern Simmons Comprehensive Cancer Center
Dallas, Texas, 75390, United States
Related Publications (8)
Comis RL, Miller JD, Aldige CR, Krebs L, Stoval E. Public attitudes toward participation in cancer clinical trials. J Clin Oncol. 2003 Mar 1;21(5):830-5. doi: 10.1200/JCO.2003.02.105.
PMID: 12610181BACKGROUNDFogel DB. Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review. Contemp Clin Trials Commun. 2018 Aug 7;11:156-164. doi: 10.1016/j.conctc.2018.08.001. eCollection 2018 Sep.
PMID: 30112460BACKGROUNDMelisko ME, Hassin F, Metzroth L, Moore DH, Brown B, Patel K, Rugo HS, Tripathy D. Patient and physician attitudes toward breast cancer clinical trials: developing interventions based on understanding barriers. Clin Breast Cancer. 2005 Apr;6(1):45-54. doi: 10.3816/CBC.2005.n.008.
PMID: 15899072BACKGROUNDTorgerson DJ, Roland M. What is Zelen's design? BMJ. 1998 Feb 21;316(7131):606. doi: 10.1136/bmj.316.7131.606. No abstract available.
PMID: 9518917BACKGROUNDUnger, JM, and Fleury, ME. Nationally representative estimates of the participation of cancer patients in clinical research studies according to the commission on cancer. Journal of Clinical Oncology 39, no. 28_suppl (October 01, 2021) 74-74
BACKGROUNDUnger JM, Hershman DL, Till C, Minasian LM, Osarogiagbon RU, Fleury ME, Vaidya R. "When Offered to Participate": A Systematic Review and Meta-Analysis of Patient Agreement to Participate in Cancer Clinical Trials. J Natl Cancer Inst. 2021 Mar 1;113(3):244-257. doi: 10.1093/jnci/djaa155.
PMID: 33022716BACKGROUNDUnger JM, Vaidya R, Hershman DL, Minasian LM, Fleury ME. Systematic Review and Meta-Analysis of the Magnitude of Structural, Clinical, and Physician and Patient Barriers to Cancer Clinical Trial Participation. J Natl Cancer Inst. 2019 Mar 1;111(3):245-255. doi: 10.1093/jnci/djy221.
PMID: 30856272BACKGROUNDZelen M. A new design for randomized clinical trials. N Engl J Med. 1979 May 31;300(22):1242-5. doi: 10.1056/NEJM197905313002203.
PMID: 431682BACKGROUND
MeSH Terms
Conditions
Study Officials
- PRINCIPAL INVESTIGATOR
Mark Fleury, PhD
ACS CAN
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 12, 2023
First Posted
June 2, 2023
Study Start
December 1, 2023
Primary Completion
December 1, 2025
Study Completion (Estimated)
June 1, 2026
Last Updated
January 29, 2025
Record last verified: 2025-01
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF
- Time Frame
- Beginning 3 months and ending 3 years after the publication of results
- Access Criteria
- IPD will be shared following review and approval of planned analyses and execution of data sharing agreement.
We will share all IPD that underlie results in a publication.