Doctors of Tomorrow: Evaluating the effectiveness and impact of a virtual medical pipeline program during the COVID-19 pandemic Article Swipe
Sanaya Irani
,
Sangini Tolia
,
Jonathan F. Finks
,
Gurjit Sandhu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.12688/mep.20168.1
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.12688/mep.20168.1
Background Doctors of Tomorrow (DoT) is a medical student-run pipeline program between the University of Michigan Medical School and high schools in Detroit, MI. During the COVID-19 pandemic, this program was offered virtually for the first time during the 2020–2021 academic year. There are limited studies on the outcomes of virtual pipeline programs. This study aims to identify the successes and limitations of the virtual DoT program by examining the participants’ self-reported perspectives and knowledge acquisition from their session participation. Methods Multiple methods were executed in this study. Matched pre- and post- surveys completed by the 2020–2021 participant cohort were analyzed using paired t-tests. In addition, participants’ responses to free-response questions were analyzed by coding with NVivo and subsequent content analysis. Results Program participants experienced a significant increase in their self-rated knowledge of delivered content after each session. Additionally, a significant increase in familiarity was detected with the path to becoming a physician and with a variety of medical fields. In the qualitative analysis, five overarching categories emerged: 1) path to medical school, 2) mentorship and role models, 3) scientific inquiry, 4) sense of belonging, and 5) fields of medicine. Conclusions The DoT virtual pipeline program provides convincing evidence that distance learning can still be an effective way to help URiM students explore careers in medicine, gain awareness about the path to medical school, and connect with mentors. This may serve as a low-cost option for universities to engage with and extend their service to communities, especially in an increasingly digital world.
Related Topics
Concepts
Coronavirus disease 2019 (COVID-19)
Pandemic
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Pipeline (software)
2019-20 coronavirus outbreak
Medicine
Computer science
Virology
Internal medicine
Operating system
Outbreak
Infectious disease (medical specialty)
Disease
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.12688/mep.20168.1
- OA Status
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- References
- 24
- Related Works
- 10
- OpenAlex ID
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https://openalex.org/W4396937925Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.12688/mep.20168.1Digital Object Identifier
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Doctors of Tomorrow: Evaluating the effectiveness and impact of a virtual medical pipeline program during the COVID-19 pandemicWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
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2024-05-15Full publication date if available
- Authors
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Sanaya Irani, Sangini Tolia, Jonathan F. Finks, Gurjit SandhuList of authors in order
- Landing page
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https://doi.org/10.12688/mep.20168.1Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.12688/mep.20168.1Direct OA link when available
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Coronavirus disease 2019 (COVID-19), Pandemic, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Pipeline (software), 2019-20 coronavirus outbreak, Medicine, Computer science, Virology, Internal medicine, Operating system, Outbreak, Infectious disease (medical specialty), DiseaseTop concepts (fields/topics) attached by OpenAlex
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| abstract_inverted_index.virtual | 50, 64, 193 |
| abstract_inverted_index.COVID-19 | 26 |
| abstract_inverted_index.Detroit, | 22 |
| abstract_inverted_index.Michigan | 15 |
| abstract_inverted_index.Multiple | 81 |
| abstract_inverted_index.Tomorrow | 3 |
| abstract_inverted_index.academic | 40 |
| abstract_inverted_index.analyzed | 100, 112 |
| abstract_inverted_index.becoming | 150 |
| abstract_inverted_index.detected | 145 |
| abstract_inverted_index.distance | 200 |
| abstract_inverted_index.emerged: | 167 |
| abstract_inverted_index.evidence | 198 |
| abstract_inverted_index.executed | 84 |
| abstract_inverted_index.identify | 57 |
| abstract_inverted_index.increase | 127, 141 |
| abstract_inverted_index.inquiry, | 180 |
| abstract_inverted_index.learning | 201 |
| abstract_inverted_index.low-cost | 233 |
| abstract_inverted_index.mentors. | 227 |
| abstract_inverted_index.outcomes | 48 |
| abstract_inverted_index.pipeline | 9, 51, 194 |
| abstract_inverted_index.provides | 196 |
| abstract_inverted_index.session. | 137 |
| abstract_inverted_index.students | 211 |
| abstract_inverted_index.t-tests. | 103 |
| abstract_inverted_index.addition, | 105 |
| abstract_inverted_index.analysis, | 163 |
| abstract_inverted_index.analysis. | 120 |
| abstract_inverted_index.awareness | 217 |
| abstract_inverted_index.completed | 93 |
| abstract_inverted_index.delivered | 133 |
| abstract_inverted_index.effective | 206 |
| abstract_inverted_index.examining | 68 |
| abstract_inverted_index.knowledge | 74, 131 |
| abstract_inverted_index.medicine, | 215 |
| abstract_inverted_index.medicine. | 189 |
| abstract_inverted_index.pandemic, | 27 |
| abstract_inverted_index.physician | 152 |
| abstract_inverted_index.programs. | 52 |
| abstract_inverted_index.questions | 110 |
| abstract_inverted_index.responses | 107 |
| abstract_inverted_index.successes | 59 |
| abstract_inverted_index.virtually | 32 |
| abstract_inverted_index.University | 13 |
| abstract_inverted_index.belonging, | 184 |
| abstract_inverted_index.categories | 166 |
| abstract_inverted_index.convincing | 197 |
| abstract_inverted_index.especially | 246 |
| abstract_inverted_index.mentorship | 174 |
| abstract_inverted_index.scientific | 179 |
| abstract_inverted_index.self-rated | 130 |
| abstract_inverted_index.subsequent | 118 |
| abstract_inverted_index.2020–2021 | 39, 96 |
| abstract_inverted_index.Conclusions | 190 |
| abstract_inverted_index.acquisition | 75 |
| abstract_inverted_index.experienced | 124 |
| abstract_inverted_index.familiarity | 143 |
| abstract_inverted_index.limitations | 61 |
| abstract_inverted_index.overarching | 165 |
| abstract_inverted_index.participant | 97 |
| abstract_inverted_index.qualitative | 162 |
| abstract_inverted_index.significant | 126, 140 |
| abstract_inverted_index.student-run | 8 |
| abstract_inverted_index.communities, | 245 |
| abstract_inverted_index.increasingly | 249 |
| abstract_inverted_index.participants | 123 |
| abstract_inverted_index.perspectives | 72 |
| abstract_inverted_index.universities | 236 |
| abstract_inverted_index.Additionally, | 138 |
| abstract_inverted_index.free-response | 109 |
| abstract_inverted_index.self-reported | 71 |
| abstract_inverted_index.participation. | 79 |
| abstract_inverted_index.world.</ns7:p> | 251 |
| abstract_inverted_index.participants’ | 70, 106 |
| abstract_inverted_index.<ns7:p>Background | 0 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.5199999809265137 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.107529 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |