» Articles » PMID: 27842322

Barriers to Clinical Trial Enrollment in Racial and Ethnic Minority Patients With Cancer

Overview
Journal Cancer Control
Specialty Oncology
Date 2016 Nov 15
PMID 27842322
Citations 202
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Clinical trials that study cancer are essential for testing the safety and effectiveness of promising treatments, but most people with cancer never enroll in a clinical trial - a challenge exemplified in racial and ethnic minorities. Underenrollment of racial and ethnic minorities reduces the generalizability of research findings and represents a disparity in access to high-quality health care.

Methods: Using a multilevel model as a framework, potential barriers to trial enrollment of racial and ethnic minorities were identified at system, individual, and interpersonal levels. Exactly how each level directly or indirectly contributes to doctor-patient communication was also reviewed. Selected examples of implemented interventions are included to help address these barriers. We then propose our own evidence-based intervention addressing barriers at the individual and interpersonal levels.

Results: Barriers to enrolling a diverse population of patients in clinical trials are complex and multilevel. Interventions focused at each level have been relatively successful, but multilevel interventions have the greatest potential for success.

Conclusion: To increase the enrollment of racial and ethnic minorities in clinical trials, future interventions should address barriers at multiple levels.

Citing Articles

Global Insights on the Involvement of Ethnic Minority Populations in Health and Social Care Research Priority Setting: A Systematic Scoping Review.

Ekezie W, Cassambai S, Curtis F, Czyznikowska B, OMahoney L, Willis A J Racial Ethn Health Disparities. 2025; .

PMID: 40080377 DOI: 10.1007/s40615-025-02377-x.


Transforming clinical trial enrollment: Leveraging technology and innovation to reach patients where they are.

Somasegar S, Bakkum-Gamez J Gynecol Oncol Rep. 2025; 57:101691.

PMID: 40051579 PMC: 11883640. DOI: 10.1016/j.gore.2025.101691.


Measuring Representativeness in Clinical Trials.

Sanyi A, Byiringiro S, Dabiri S, Jacobson M, Boyd A, Ogunniyi M Circulation. 2025; 151(5):318-330.

PMID: 39899634 PMC: 11801332. DOI: 10.1161/CIRCULATIONAHA.124.070299.


Feasibility and Preliminary Effects of Acupuncture for Cognitive Dysfunction in Diverse Cancer Survivors: A Pilot, Randomized, Placebo-Controlled Trial.

Li X, Lampson K, Ahles T, Root J, Li Q, Li Y Curr Oncol. 2025; 32(1).

PMID: 39851943 PMC: 11763785. DOI: 10.3390/curroncol32010027.


Building a Digital Health Research Platform to Enable Recruitment, Enrollment, Data Collection, and Follow-Up for a Highly Diverse Longitudinal US Cohort of 1 Million People in the All of Us Research Program: Design and Implementation Study.

Klein D, Montgomery A, Begale M, Sutherland S, Sawyer S, McCauley J J Med Internet Res. 2025; 27:e60189.

PMID: 39813673 PMC: 11780292. DOI: 10.2196/60189.


References
1.
Hagiwara N, Penner L, Gonzalez R, Eggly S, Dovidio J, Gaertner S . Racial attitudes, physician-patient talk time ratio, and adherence in racially discordant medical interactions. Soc Sci Med. 2013; 87:123-31. PMC: 3677202. DOI: 10.1016/j.socscimed.2013.03.016. View

2.
Moskowitz G, Stone J, Childs A . Implicit stereotyping and medical decisions: unconscious stereotype activation in practitioners' thoughts about African Americans. Am J Public Health. 2012; 102(5):996-1001. PMC: 3325336. DOI: 10.2105/AJPH.2011.300591. View

3.
Makoul G, Clayman M . An integrative model of shared decision making in medical encounters. Patient Educ Couns. 2005; 60(3):301-12. DOI: 10.1016/j.pec.2005.06.010. View

4.
Siegel R, Ward E, Brawley O, Jemal A . Cancer statistics, 2011: the impact of eliminating socioeconomic and racial disparities on premature cancer deaths. CA Cancer J Clin. 2011; 61(4):212-36. DOI: 10.3322/caac.20121. View

5.
Sateren W, Trimble E, Abrams J, Brawley O, Breen N, Ford L . How sociodemographics, presence of oncology specialists, and hospital cancer programs affect accrual to cancer treatment trials. J Clin Oncol. 2002; 20(8):2109-17. DOI: 10.1200/JCO.2002.08.056. View