A clinical trial with culturally tailored video to increase participation of African Americans in cancer clinical trials.

2011 ◽  
Vol 29 (15_suppl) ◽  
pp. 6075-6075
Author(s):  
D. R. Banda ◽  
M. Mete ◽  
R. Kapoor ◽  
S. M. Swain
2016 ◽  
Vol 12 (6) ◽  
pp. 556-563 ◽  
Author(s):  
Mona N. Fouad ◽  
Aras Acemgil ◽  
Sejong Bae ◽  
Andres Forero ◽  
Nedra Lisovicz ◽  
...  

Purpose: Less than 10% of patients enrolled in clinical trials are minorities. The patient navigation model has been used to improve access to medical care but has not been evaluated as a tool to increase the participation of minorities in clinical trials. The Increasing Minority Participation in Clinical Trials project used patient navigators (PNs) to enhance the recruitment of African Americans for and their retention in therapeutic cancer clinical trials in a National Cancer Institute–designated comprehensive cancer center. Methods: Lay individuals were hired and trained to serve as PNs for clinical trials. African American patients potentially eligible for clinical trials were identified through chart review or referrals by clinic nurses, physicians, and social workers. PNs provided two levels of services: education about clinical trials and tailored support for patients who enrolled in clinical trials. Results: Between 2007 and 2014, 424 African American patients with cancer were referred to the Increasing Minority Participation in Clinical Trials project. Of those eligible for a clinical trial (N = 378), 304 (80.4%) enrolled in a trial and 272 (72%) consented to receive patient navigation support. Of those receiving patient navigation support, 74.5% completed the trial, compared with 37.5% of those not receiving patient navigation support. The difference in retention rates between the two groups was statistically significant (P < .001). Participation of African Americans in therapeutic cancer clinical trials increased from 9% to 16%. Conclusion: Patient navigation for clinical trials successfully retained African Americans in therapeutic trials compared with non–patient navigation trial participation. The model holds promise as a strategy to reduce disparities in cancer clinical trial participation. Future studies should evaluate it with racial/ethnic minorities across cancer centers.


2020 ◽  
Author(s):  
Ashley R. Shaw ◽  
Jaime Perales-Puchalt ◽  
Briana Bright ◽  
Todd Moore ◽  
Melissa Robinson ◽  
...  

African Americans are disproportionally affected by Alzheimers disease and related dementia (ADRD) and are two times more likely to develop ADRD compared to their White counterparts. Despite the higher prevalence of ADRD among older African Americans, less than 5% of African Americans participate in clinical research trials. Purpose: The purpose of the study was to explore how a culturally tailored community-based recruitment method impacts 1) enrollment in ADRD research studies among older African Americans in the Midwest and 2) ADRD knowledge and perception of clinical trials. Methods: Using a community-engaged research approach, we collaborated with two predominately African American serving organizations to support the content development and the delivery of Aging With Grace (AWG); a culturally tailored dementia educational curriculum. Results: A total of five AWG presentations were presented to 66 attendees. Most attendees (67%) expressed interest in participating in clinical trials after attending AWG, 18.2% of attendees enrolled in an observational clinical research study and 4.5% enrolled in a lifestyle prevention clinical trial within 5 months of the AWG presentation. Attendees (32%) also perceived an increase in ADRD knowledge from attending AWG and 89.1% believed more African Americans should participate in research. Conclusion: The study has demonstrated the effectiveness of a community-based recruitment method using AWG to enhance knowledge, clinical trial interest, and recruitment into observational and lifestyle ADRD clinical trials among older African Americans. Future studies should assess long-term efficacy of this AWG community-based recruitment method among other underrepresented minority populations.


2021 ◽  
Author(s):  
Joseph Angel De Soto

Abstract:Introduction: Each year there are 150,000 new cases of colon cancer in the United States. The chance of death for Hispanics and Native Americans who get colon cancer is much higher than whites even though both groups are much less likely to get colon cancer than whites. In this study, we look at the inclusion or exclusion of Hispanics and Native Americans from colon cancer clinical trials. Methods: In this retrospective study, 48 colon cancer clinical trials in the United States with an aggregate of 421,530 participants performed within the last ten years were selected at random. These clinical trials were evaluated for the inclusion and exclusion of minorities. Results: Though whites make up only 60.1% of the population they make up 89% of the colon cancer clinical trial participants. African Americans, and Hispanics who make up 13.4% and 18.5% of the population only made up 5.6% and 0.6% of the colon cancer clinical trial participants. Only two native Americans out of 421,530 colon cancer clinical trial participants could be identified. Conclusion: Colon Cancer Clinical trials have systematically excluded Hispanics and Native Americans while minimizing the participation of African Americans. This may be directly related to the increased death rates seen in these groups and provides evidence for the non-generalizability of colon cancer clinical trials.


2021 ◽  
pp. 826-832
Author(s):  
Jay G. Ronquillo ◽  
William T. Lester

PURPOSE Cloud computing has led to dramatic growth in the volume, variety, and velocity of cancer data. However, cloud platforms and services present new challenges for cancer research, particularly in understanding the practical tradeoffs between cloud performance, cost, and complexity. The goal of this study was to describe the practical challenges when using a cloud-based service to improve the cancer clinical trial matching process. METHODS We collected information for all interventional cancer clinical trials from ClinicalTrials.gov and used the Google Cloud Healthcare Natural Language Application Programming Interface (API) to analyze clinical trial Title and Eligibility Criteria text. An informatics pipeline leveraging interoperability standards summarized the distribution of cancer clinical trials, genes, laboratory tests, and medications extracted from cloud-based entity analysis. RESULTS There were a total of 38,851 cancer-related clinical trials found in this study, with the distribution of cancer categories extracted from Title text significantly different than in ClinicalTrials.gov ( P < .001). Cloud-based entity analysis of clinical trial criteria identified a total of 949 genes, 1,782 laboratory tests, 2,086 medications, and 4,902 National Cancer Institute Thesaurus terms, with estimated detection accuracies ranging from 12.8% to 89.9%. A total of 77,702 API calls processed an estimated 167,179 text records, which took a total of 1,979 processing-minutes (33.0 processing-hours), or approximately 1.5 seconds per API call. CONCLUSION Current general-purpose cloud health care tools—like the Google service in this study—should not be used for automated clinical trial matching unless they can perform effective extraction and classification of the clinical, genetic, and medication concepts central to precision oncology research. A strong understanding of the practical aspects of cloud computing will help researchers effectively navigate the vast data ecosystems in cancer research.


2020 ◽  
Author(s):  
Santam Chakraborty ◽  
Indranil Mallick ◽  
Hung N Luu ◽  
Tapesh Bhattacharyya ◽  
Arunsingh Moses ◽  
...  

Abstract Introduction The current study was aimed at quantifying the disparity in geographic access to cancer clinical trials in India. Methods We collated data of cancer clinical trials from the clinical trial registry of India (CTRI) and data on state-wise cancer incidence from the Global Burden of Disease Study. The total sample size for each clinical trial was divided by the trial duration to get the sample size per year. This was then divided by the number of states in which accrual was planned to get the sample size per year per state (SSY). For interventional trials investigating a therapy, the SSY was divided by the number of incident cancers in the state to get the SSY per 1,000 incident cancer cases. The SSY data was then mapped to visualise the geographical disparity.Results We identified 181 ongoing studies, of whom 132 were interventional studies. There was a substantial inter-state disparity - with a median SSY of 1.55 per 1000 incident cancer cases (range 0.00 - 296.81 per 1,000 incident cases) for therapeutic interventional studies. Disparities were starker when cancer site-wise SSY was considered. Even in the state with the highest SSY, only 29.7 % of the newly diagnosed cancer cases have an available slot in a therapeutic cancer clinical trial. Disparities in access were also apparent between academic (range: 0.21 - 226.60) and industry-sponsored trials (range: 0.17 - 70.21).Conclusion There are significant geographic disparities in access to cancer clinical trials in India. Future investigations should evaluate the reasons and mitigation approaches for such disparities.


2018 ◽  
Vol 48 (11) ◽  
pp. 995-1000 ◽  
Author(s):  
Nobuaki Ochi ◽  
Tatsuyuki Kawahara ◽  
Yasunari Nagasaki ◽  
Nozomu Nakagawa ◽  
Tomoko Yamagishi ◽  
...  

2018 ◽  
Vol 14 (1) ◽  
pp. e1-e10 ◽  
Author(s):  
Narjust Duma ◽  
Jesus Vera Aguilera ◽  
Jonas Paludo ◽  
Candace L. Haddox ◽  
Miguel Gonzalez Velez ◽  
...  

Purpose: Many cancer clinical trials lack appropriate representation of specific patient populations, limiting their generalizability. Therefore, we determined the representation of ethnic minorities and women in cancer clinical trials. Methods: Enrollment data from all therapeutic trials reported as completed in ClinicalTrials.gov from 2003 to 2016 were analyzed. We calculated enrollment fractions (EFs) for each group, defined as the number of enrollees divided by the 2013 Surveillance, Epidemiology, and End Results (SEER) database cancer prevalence. Results: Of 1,012 clinical trials, 310 (31%) reported ethnicity with a total of 55,689 enrollees. Participation varied significantly across ethnic groups. Non-Hispanic whites were more likely to be enrolled in clinical trials (EF, 1.2%) than African Americans (EF, 0.7%; P < .001) and Hispanics (EF, 0.4%; P < .001). A decrease in African American (6% v 9.2%) and Hispanic (2.6% v 3.1%) enrollment was observed when compared with historical data from 1996 to 2002. Younger patients (age younger than 65 years) were more likely to be enrolled in clinical trials than the elderly (64% v 36%; P < .001). Low recruitment of female patients was observed in clinical trials for melanoma (35%), lung cancer (39%), and pancreatic cancer (40%). Conclusion: We observed a decrease in recruitment of minorities over the past 14 years compared with historical data. African Americans, Hispanics, and women were less likely to be enrolled in cancer clinical trials. Future trials should take extra measures to recruit participants that adequately represent the US cancer population.


2008 ◽  
Vol 26 (27) ◽  
pp. 4458-4465 ◽  
Author(s):  
Julie Lemieux ◽  
Pamela J. Goodwin ◽  
Kathleen I. Pritchard ◽  
Karen A. Gelmon ◽  
Louise J. Bordeleau ◽  
...  

Purpose It is estimated that only 5% of patients with cancer participate in a clinical trial. Barriers to participation may relate to available protocols, physicians, and patients, but few data exist on barriers related to cancer care environments and protocol characteristics. Methods The primary objective was to identify characteristics of cancer care environments and clinical trial protocols associated with a low recruitment into breast cancer clinical trials. Secondary objectives were to determine yearly recruitment fraction onto clinical trials from 1997 to 2002 in Ontario, Canada, and to compare recruitment fraction among years. Questionnaires were sent to hospitals requesting characteristics of cancer care environments and to cooperative groups/pharmaceutical companies for information on protocols and the number of patients recruited per hospital/year. Poisson regression was used to estimate the recruitment fraction. Results Questionnaire completion rate varied between 69% and 100%. Recruitment fraction varied between 5.4% and 8.5% according to year. More than 30% of patients were diagnosed in hospitals with no available trials. In multivariate analysis, the following characteristics were associated with recruitment: use of placebo versus not (relative risk [RR] = 0.80; P = .05), nonmetastatic versus metastatic trial (RR = 2.80; P < .01), and for nonmetastatic trials, protocol allowing an interval of 12 weeks or longer versus less than 12 weeks (from diagnosis, surgery, or end of therapy) before enrollment (RR = 1.36; P < .01). Conclusion Allowable interval of 12 weeks or longer to randomly assign patients in clinical trials could help recruitment. In our study, absence of an available clinical trial represented the largest barrier to recruitment.


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