| Literature DB >> 35098479 |
G B Carey1,2,3, H J Ezelle1,3, N Steinle4,5, Q Cao2, L Simington1, C Matson3, N Singh1,3, L Jones1,6, P Mohindra1,7, K J Cullen1, M Giglio8, E Parker9, B A Hassel10,11.
Abstract
Summer internships serve important roles in training the next generation of biomedical researchers and healthcare providers through laboratory and clinical experiences that excite trainees about these fields and help them make informed decisions about career paths. The SARS-CoV-2 (COVID) pandemic and associated physical distancing restrictions precluded implementation of traditional in-person summer curricula and led to the cancellation of many internships across the USA. COVID-related disruptions also created opportunities for trainees to engage in remote research, become proficient in online learning platforms, and explore multidisciplinary topics. These skills are highly relevant to trainees as virtual interfaces occupy an increasingly mainstream role in their professional paths. The response to the COVID pandemic required real-time adaptations at all levels for major biomedical institutions including the University of Maryland Baltimore (UMB). Pivoting summer programs to a virtual format as part of this response provided a "teachable moment" to expose trainees to the innovation and resilience that are essential components of the biomedical profession. UMB summer programs, which span diverse biomedical disciplines from cancer research to diabetes, consolidated resources and identified mentors with online research projects to develop a robust virtual curriculum. Herein, data from a cancer-focused internship illustrate the collaborative adaptations to established components and creation of new learning modules in the transition to, and implementation of, online training. Outcomes are presented in the context of the COVID pandemic and significant societal issues that arose in the summer of 2020. The utility of virtual components and their impact on future programs is discussed.Entities:
Keywords: Biomedical research; COVID; Cancer education; Summer internship; Undergraduate; Virtual curriculum
Mesh:
Year: 2022 PMID: 35098479 PMCID: PMC8801290 DOI: 10.1007/s13187-021-02124-w
Source DB: PubMed Journal: J Cancer Educ ISSN: 0885-8195 Impact factor: 1.771
Fig. 1UMB training programs. All programs include summer components and contributed to the COVID-adapted virtual curriculum; a red asterisk (top) and bold font (bottom) denote programs conducted exclusively during the summer. Program acronyms are CURE, Continuing Umbrella of Research Experiences; NSIP, Nathan Schnaper Intern Program; ASCEND, A Student-Centered Entrepreneurship Development training model; STAR-PREP, Science Training for Advancing biomedical Research-Postbaccalaureate Research Education Program; PRISM, Program for Research Initiated by Students and Mentors; and SPORT, Summer Program in Obesity, nutrition and diabetes Research Training. Photos (from left) show trainees in UMB CURE, NSIP, STAR-PREP, Bridges to the Doctorate, and Cancer Biology programs
Fig. 2Steps in the development of a virtual summer curriculum. A Decision tree for program transition to online training illustrated with data from the NSIP; a similar process was followed by all programs. B Timeline of new SARS-CoV-2 cases in Maryland (y-axis) (https://usafacts.org) and regulatory actions (yellow shaded text), virtual summer program development (red shaded text), and key UMB COVID responses (blue shaded text)
The 2020 OSR summer program participants
| Program1 | Period | Trainees | Mentors | ||||
|---|---|---|---|---|---|---|---|
| Total | Female | URM | Total | Female | URM | ||
| NSIP | 2020 | 18 | 89% | 17% | 13 | 69% | 8% |
| avg/yr2 | 21 | 79% | 27% | 21 | 38% | 9% | |
| UM scholars | 2020 | 16 | 38% | 38% | 11 | 44% | 6% |
| avg/yr | 14 | 52% | 17% | 12 | 41% | 19% | |
| PRISM | 2020 | 56 | 57% | 2% | 42 | 46% | 0% |
| avg/yr | 38 | 58% | 4% | 30 | 41% | 5% | |
| SPORT | 2020 | 12 | 92% | 25% | 13 | 31% | 8% |
| avg/yr | 12 | 67% | 25% | 9 | 56% | 11% | |
1Data are for participants recruited for OSR programs that are fully implemented during the summer. Data on participants in year-round OSR programs are not shown
2Data from 4-year averages are shown (2015–2019). NSIP Nathan Schnaper Intern Program; UM Scholars University of Maryland Scholars; PRISM Program for Research Initiated by Students and Mentors; SPORT Summer Program in Obesity, nutrition and diabetes Research Training
Robust curricula augment summer trainee research in traditional and virtual settings*
*Curriculum shown is for the NSIP with required components in bold; curriculum for other OSR programs is similar but differs in modules required. Module colors designate formats in which they are offered and identify new components developed for 2020: green — traditional or both formats, blue — virtual format, yellow — new component developed for virtual format, red — not offered in format listed
Fig. 3An online module menu coordinates schedules for all summer programs
Examples of virtual trainee research projects in OSR summer programs
| Program | Research project |
|---|---|
| NSIP | The impact of ethnicity on single-nucleotide polymorphisms (SNPs) that regulate immune signatures in prostate cancer |
| Measuring financial toxicity of cancer in young active-duty military patients | |
| Protein expression patterns in monolayer and spheroid melanoma cell cultures with acquired resistance to BRaf and MEK1/2 inhibitors | |
| UM Scholars | Producing three-dimensional models of the interactions among semaphorin 4D, plexin B1, and neuropilin 2 |
| Using induced pluripotent stem cells (iPSC) to model GBA1-associated neurodegeneration in Gaucher and Parkinson’s diseases | |
| Identifying targets of natural immunity within a protein associated with severe malaria pathogenesis | |
| PRISM | Psychological predictors of virtual reality responsiveness in chronic pain patients |
| The impact of intermediate anti-drug antibodies to infliximab and adalimumab on clinical outcomes in patients with Crohn’s disease or ulcerative colitis | |
| Use of intra-arterial contrast injection in computerized tomography in a porcine model | |
| Radiation Oncology | Proton radiation package time and outcomes in patients undergoing curative treatment for head and neck cancers: a single-institution experience |
| PD-L1 expression as a prognostic marker for local control following immune checkpoint inhibition and stereotactic radiation for brain metastases | |
| Correlating dosimetric parameters with clinical toxicity outcomes between proton and photon-based treatment for gynecological cancers | |
| SPORT | Evaluating how high glucose affects epigenetic mechanisms in diabetic embryopathy |
| Examining geographic disparities in obesity and physical activity among children and adolescents living in rural, urban, and suburban areas | |
| Assessing the validity of estimating resting metabolic rate (RMR) in chronic stroke patients |
Fig. 4Trainee understanding of B2B module topics was measured in surveys given before and after each session. A Likert scale was used to assess trainee understanding through their responses to two or three topic-specific questions on key aspects of the lectures. The percentage change in the mean class score for each question is depicted by grey, yellow, and orange bars in the graph. The post-module increase in mean scores over baseline was significant (p < 0.01) for all questions
Fig. 5Trainee increase in scientific communication skills was measured in surveys given before and after virtual and in-person workshops. A Likert scale was used to measure trainee assessment of their skill levels in four areas. The percent change in the mean class score for each question is depicted by orange and blue bars. The post-workshop mean scores significantly increased in all skill categories (p < 0.01); however, the percent increase did not significantly differ between the two implementation formats (p = 0.26)
Fig. 6Trainee understanding of IGS module topics was measured in surveys given before and after each session. A Likert scale was used to assess trainee understanding through their responses to three topic-specific questions on key aspects of the lectures. The percentage change in the mean class score for each question (depicted by grey, yellow, and orange bars in the graph). The post-module increase in mean scores was significant (p < 0.01) for all questions except Biostats question 1 (p = 0.096)
Fig. 7Trainee understanding of immunology topics was measured using the Likert scale defined in the key for post-module surveys. Surveys included the option of “1 — strongly disagree”; however, this score was not selected in any of the surveys. The percent of responses in each category is shown for two questions on each topic