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本文引用的文献

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The Impact of an Educational Video on Clinical Trial Enrollment and Knowledge in Ethnic Minorities: A Randomized Control Trial.教育视频对少数民族临床试验入组及知识的影响:一项随机对照试验
Front Public Health. 2019 Apr 26;7:104. doi: 10.3389/fpubh.2019.00104. eCollection 2019.
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Cardiovascular disease in racial/ethnic minority populations: illness burden and overview of community-based interventions.少数族裔人群中的心血管疾病:疾病负担及基于社区的干预措施概述
Public Health Rev. 2018 Dec 3;39:32. doi: 10.1186/s40985-018-0109-4. eCollection 2018.
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Mortality in the United States, 2017.2017年美国的死亡率。
NCHS Data Brief. 2018 Nov(328):1-8.
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The Role of Clinical Trial Participation in Cancer Research: Barriers, Evidence, and Strategies.临床试验参与在癌症研究中的作用:障碍、证据与策略
Am Soc Clin Oncol Educ Book. 2016;35:185-98. doi: 10.1200/EDBK_156686.
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Financial Burden of Cancer Clinical Trial Participation and the Impact of a Cancer Care Equity Program.癌症临床试验参与的经济负担及癌症护理公平计划的影响
Oncologist. 2016 Apr;21(4):467-74. doi: 10.1634/theoncologist.2015-0481. Epub 2016 Mar 14.
6
Key cost drivers of pharmaceutical clinical trials in the United States.美国药物临床试验的关键成本驱动因素。
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7
Recruitment of ethnic minorities into cancer clinical trials: experience from the front lines.少数民族参与癌症临床试验的招募:来自前线的经验。
Br J Cancer. 2012 Sep 25;107(7):1017-21. doi: 10.1038/bjc.2012.240. Epub 2012 May 31.
8
Insurance status, comorbidity level, and survival among colorectal cancer patients age 18 to 64 years in the National Cancer Data Base from 2003 to 2005.2003年至2005年美国国家癌症数据库中18至64岁结直肠癌患者的保险状况、合并症水平及生存率
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9
An educational video to increase clinical trials enrollment among breast cancer patients.一部旨在提高乳腺癌患者临床试验入组率的教育视频。
Breast Cancer Res Treat. 2009 Sep;117(2):339-47. doi: 10.1007/s10549-009-0311-7. Epub 2009 Jan 17.
10
Clinical trials: the art of enrollment.临床试验:入组的艺术。
Semin Oncol Nurs. 2008 Nov;24(4):262-9. doi: 10.1016/j.soncn.2008.08.006.

癌症临床试验中的社会人口学多样性:关于种族和族裔影响的新发现。

Sociodemographic diversity in cancer clinical trials: New findings on the effect of race and ethnicity.

作者信息

Meyer Shelby, Woldu Henok G, Sheets Lincoln R

机构信息

University of Missouri School of Medicine, Columbia, MO, USA.

Department of Health Management and Informatics, University of Missouri, Columbia, MO, USA.

出版信息

Contemp Clin Trials Commun. 2021 Jan 20;21:100718. doi: 10.1016/j.conctc.2021.100718. eCollection 2021 Mar.

DOI:10.1016/j.conctc.2021.100718
PMID:33604484
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7872971/
Abstract

BACKGROUND

Cancer clinical trials (CCT) offer significant potential benefit, not only for future patients but also for enrolled participants, yet a very small minority of cancer patients participate, resulting in low levels of enrollment that have stalled clinical trials dramatically. Though many have endeavored to study this phenomenon, relatively little research has explored the demographic factors which may affect CCT enrollment. Understanding patient demographics is critical to optimizing enrollment, evaluating generalizability, and ensuring equity of CCT.

METHODS

To better understand the effect of social determinants of health on CCT enrollment, the authors constructed a multivariable logistic regression model to analyze data collected in the last ten years in the CDC Behavioral Risk Factor Surveillance System (BRFSS) Survey, an annual national survey conducted among the non-institutionalized adult population of the U.S.

RESULTS

In multivariable regression analysis, enrollment varied significantly with sociodemographic factors. Individuals of higher income, Hispanic ethnicity, and younger age were most likely to participate in CCTs. Enrollment did not vary significantly by educational attainment.

CONCLUSION

Our multivariable analysis indicated people of color are more likely to participate in CCT, perhaps demonstrating that structural barriers shape participation more than race alone. Efforts to improve CCT enrollment may benefit from a shift in focus towards access to care by alleviating structural and financial barriers to enrollment.

摘要

背景

癌症临床试验(CCT)不仅对未来患者,而且对入组参与者都具有显著的潜在益处,但只有极少数癌症患者参与其中,导致入组率极低,严重阻碍了临床试验的进展。尽管许多人致力于研究这一现象,但相对较少的研究探讨了可能影响CCT入组的人口统计学因素。了解患者人口统计学对于优化入组、评估普遍性以及确保CCT的公平性至关重要。

方法

为了更好地理解健康的社会决定因素对CCT入组的影响,作者构建了一个多变量逻辑回归模型,以分析过去十年在美国疾病控制与预防中心行为风险因素监测系统(BRFSS)调查中收集的数据,该调查是对美国非机构化成年人口进行的年度全国性调查。

结果

在多变量回归分析中,入组情况因社会人口统计学因素而有显著差异。高收入、西班牙裔和较年轻的个体最有可能参与CCT。入组情况在受教育程度方面没有显著差异。

结论

我们的多变量分析表明,有色人种更有可能参与CCT,这或许表明结构性障碍对参与的影响大于种族本身。改善CCT入组的努力可能受益于将重点转向通过减轻入组的结构性和经济障碍来获得医疗服务。