Clinical trial · Interventional
Blue-Button Regional Trial Screening
Evaluating the Effectiveness of Blue-Button Automated Clinical Trial Prescreening on Regional Enrollment: a Randomized Trial
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Cancer | Malignant Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Blue-button screening | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- type
- NO_INTERVENTION
- label
- Standard of Care
- description
- Subjects 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.
- type
- EXPERIMENTAL
- label
- Blue-button screening
- description
- Subjects 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.
- interventionNames
- Other: Blue-button screening
Primary outcomes (1)
- measure
- Rate of clinical trial participation
- timeFrame
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Adult cancer patients attending clinic visit at which they would be screened for clinical trial participation Exclusion Criteria: * under age 18 years
References
Publications (8)
- BACKGROUNDComis 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 12610181
- BACKGROUNDFogel 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 30112460
- BACKGROUNDMelisko 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 15899072
- BACKGROUNDTorgerson 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 9518917
- BACKGROUNDUnger, 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 33022716
- BACKGROUNDUnger 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 30856272