Voltar para Faster Together, Enhancing the Recruitment of Minorities in Clinical Trials
Comentários e feedback de alunos de Faster Together, Enhancing the Recruitment of Minorities in Clinical Trials da instituição Universidade Vanderbilt
Sobre o curso
This course aims to teach people how to enhance the recruitment of racial and ethnic minorities in clinical trials. Key topics include the importance of diversity in clinical trials, barriers and facilitators to participation in clinical research, community engagement, effective communication, educating about clinical trials, provider outreach, effective prescreening and enrollment, person-centered consent, and retention. Anyone with the potential to recruit can benefit from this course, whether working in a clinical setting or in the community.
The course is split into 8 weeks. You may work at your own pace and finish the course faster, if you would like. We encourage you to take the quizzes to help you learn the material. The course is free to enroll and take. You will be offered the option of purchasing a certificate of completion, which you will receive if you successfully complete the course requirements. This can be an excellent way of staying motivated! Financial aid is also available.
Acknowledgments:
We would like to acknowledge the following members from the Center for Knowledge Management at Vanderbilt University Medical Center for their expertise and ongoing insightful contribution in the development and implementation of the course: Elizabeth Frakes, MSIS, Sheila Kusnoor, PhD, Helen Naylor, MS, Mallory Blasingame, MA, Taneya Koonce, MSLS, MPH, and Nunzia Bettinsoli Giuse, MD, MLS.
We would also like to acknowledge ArtMagic Labs, particularly Casey Culver, John Martinez, and Robert Eva, for their outstanding work in filming and editing the videos for the course.
The Recruitment Innovation Center and members of the Meharry-Vanderbilt Alliance lead the efforts behind the Faster Together project. Together they have led the development of this training.
This work is supported by the National Center for Advancing Translational Sciences, National Institutes of Health, under the award number U24TR001579.
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