| Literature DB >> 32280931 |
Rosalie M Sterner1,2, Karen E Hedin2, Richard E Hayden3, Grzegorz S Nowakowski4, Saranya P Wyles5, Alexandra J Greenberg-Worisek6, Andre Terzic6,7, Saad S Kenderian2,4.
Abstract
OBJECTIVE: To evaluate the impact of a novel interdisciplinary graduate-level course in chimeric antigenic receptor-T cell therapy on students' knowledge and interests in translational science. MATERIALS/PARTICIPANTS AND METHODS: The course ran November 12 to 16, 2018. Students were surveyed before and after the course. The survey included questions regarding background, self-perceived knowledge/confidence in skills, and interests/predicted behaviors. Students were assigned to work in collaborative interdisciplinary teams to develop a research proposal.Entities:
Keywords: CAR-T cell, chimeric antigenic receptor-T cell; CME, continuing medical education; FDA, US Food and Drug Administration; GMP, good manufacturing practice; MCGSBS, Mayo Clinic Graduate School of Biomedical Sciences; S, satisfactory
Year: 2020 PMID: 32280931 PMCID: PMC7140137 DOI: 10.1016/j.mayocpiqo.2019.12.006
Source DB: PubMed Journal: Mayo Clin Proc Innov Qual Outcomes ISSN: 2542-4548
Figure 1Course content. Depiction of the course schedule and administration of pre- and postcourse surveys timeline. CAR-T cell = chimeric antigenic receptor-T cell; GMP = good manufacturing practice.
Figure 2Course impact. Pre- and postcourse surveys were distributed to students taking the course for Mayo Clinic Graduate School of Biomedical Sciences credit (25 students) and were completed by 25 students. Students were asked to select whether they strongly agreed (score of 5), agreed (4), were neutral (3), disagreed (2), or strongly disagreed (1) with a given statement. Pre- and postcourse surveys were statistically analyzed using paired t test and depicted in graphical form as mean ± SD. Values of mean ± SD and median are displayed as well. A, Reflects impact on self-perceived student knowledge and skills confidence. B, Reflects impact on student interest and predicted behaviors.