| Literature DB >> 35287673 |
Firas K Almarri1, Rahaf I Alshareef1, Eman A Hajr2, Fahad Z Alotabi3.
Abstract
BACKGROUND: The COVID-19 pandemic has had a devastating effect on people across the globe. Its impact on medical students' education has also been profound. Here, we aimed to comprehensively determine the nature of this impact on their choice of specialty.Entities:
Keywords: COVID-19 effect; Clinical knowledge; Medical education; Medical student; Pandemic consequences; Specialty of choice
Mesh:
Year: 2022 PMID: 35287673 PMCID: PMC8920521 DOI: 10.1186/s12909-022-03224-x
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Fig. 1Flowchart demonstrating how certainty levels are distributed based on the specialty of interest and electives
Fig. 2Demographic characteristics of respondents
Fig. 3Different specialties completed in clinical rotations, specialties of interest, and specialties completed in electives
Questionnaire response, illustrating the effect of COVID-19 subgrouped by certainty choice level and medical year
| Item | Total ( | Chi square | 3rd year ( | Chi square | 4th year ( | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Strong Level | Moderate level | Weak | Strong Level | Moderate level | Weak level | Strong Level | Moderate level | Weak level | |||||
| N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | |||||
| 72 (3.6%) | 343 (17.3%) | 1569 (79.1%) | |||||||||||
| Yes | 20 (2.5%) | 145 (17.9%) | 645 (79.6%) | 5.4 | .066 | 4 (0.6%) | 44 (7.1%) | 187 (30%) | 9.9 | 4 (0.8%) | 34 (7.2%) | 169 (35.7%) | |
| No | 52 (4.4%) | 198 (16.9%) | 924 (78.7%) | 1 (0.2%) | 46 (7.4%) | 342 (54.8%) | 6 (1.3%) | 48 (10.1%) | 212 (44.8%) | ||||
| I may not have the opportunity to explore my specialty or specialties of interest | 13 (2.4%) | 82 (15.2%) | 444 (82.4%) | 5.9 | .053 | 3 (0.48%) | 22 (3.5%) | 117 (18.75%) | 4.2 | .122 | 1 (0.2%) | 18 (3.8%) | 113 (24%) |
| I have discovered new interests or priorities | 5 (1.8%) | 48 (17.1%) | 227 (81.1%) | 3.2 | .200 | 1 (0.2%) | 15 (2.4%) | 71 (11.4%) | 0.8 | .661 | 3 (0.6%) | 12 (2.5%) | 64 (13.5%) |
| I no longer have the ability to support my application | 3 (1.7%) | 27 (15.4%) | 145 (82.9%) | 2.7 | .263 | 0 | 8 (1.3%) | 46 (7.4%) | 0.5 | .786 | 0 | 7 (1.5%) | 37 (7.8%) |
| Other | 1 (7.7%) | 1 (7.7%) | 11 (84.6%) | 0 | 0 | 5 (0.8%) | 0 | 0 | 4 (0.8%) | ||||
| Away rotations | 0 | 6 (17.1%) | 29 (82.9%) | 1.4 | .507 | 0 | 0 | 10 (1.6%) | 1.8 | .402 | 0 | 1 (0.2%) | 10 (2.1%) |
| Research | 1 (2.6%) | 10 (26.3%) | 27 (71.1%) | 2.2 | .325 | 0 | 4 (0.6%) | 9 (1.4%) | 2.9 | .229 | 0 | 2 (0.4%) | 8 (1.7%) |
| Letter of Recommendation | 1 (5%) | 4 (20%) | 15 (75%) | 0.2 | .890 | 0 | 0 | 7 (1.1%) | 1.3 | .530 | 0 | 1 (0.2%) | 2 (0.4%) |
| Networking | 1(4.5%) | 4(18.2%) | 17(77.3%) | 0.1 | .965 | 0 | 3 (0.48%) | 11 (1.76%) | 0.7 | .716 | 0 | 0 | 4 (0.8%) |
| Taking board examination | 1 (2.9) | 6(17.6%) | 27(79.4%) | 0.0 | .976 | 0 | 0 | 11 (1.76%) | 2.0 | .366 | 0 | 4 (0.8%) | 6 (1.3%) |
| Other | 1 (33.3%) | 1 (33.3%) | 1 (33.3%) | 0 | 0 | 1 (0.2%) | 0 | 0 | 0 | ||||
| Yes | 25 (2.9%) | 162 (18.5%) | 687 (78.6%) | 4.0 | .136 | 4 (0.6%) | 48 (7.7%) | 246 (39.4%) | 3.5 | .170 | 5 (1.1%) | 44 (9.3%) | 180 (38%) |
| No | 47 (4.2%) | 181 (16.3%) | 882 (79.5%) | 1 (0.2%) | 42 (6.7%) | 283 (45.35%) | 5 (1.1%) | 38 (8%) | 201 (42.5%) | ||||
| Considering local training programs only (avoid abroad applications for medical training) | 15 (4.2%) | 55 (15.6%) | 283 (80.2%) | 1.2 | .537 | 3 (0.48%) | 17 (2.7%) | 95 (15.2%) | 5.8 | .054 | 3 (0.6%) | 11 (2.3%) | 73 (15.4%) |
| Trying to avoid the specialty with frontline exposure to the pandemic (e.g., ER, anesthesia) | 4 (1.1%) | 66 (18.5%) | 286 (80.3%) | 8.0 | 1 (0.2%) | 24 (3.8%) | 96 (15.38%) | 3.6 | .168 | 0 | 15 (3.2%) | 82 (17.3%) | |
| Considering specialty of basic science without clinical exposure | 2 (1.1%) | 30 (16.9%) | 145 (81.9%) | 3.6 | .169 | 0 | 14 (2.2%) | 61 (9.8%) | 1.9 | .393 | 1 (0.2%) | 8 (1.7%) | 41 (8.7%) |
| Considering specialty with short residency training | 2 (1.1%) | 34 (18.4%) | 149 (80.5%) | 3.9 | .146 | 0 | 12 (1.9%) | 58 (9.3%) | 1.1 | .586 | 1 (0.2%) | 10 (2.1%) | 40 (8.5%) |
| Working outside the field (away from medical specialties e.g., business field) | 2 (1.3%) | 24 (15.1%) | 133 (83.6%) | 3.6 | .164 | 0 | 6 (0.96%) | 54 (8.7%) | 1.6 | .439 | 0 | 5 (1.1%) | 30 (6.3%) |
| Considering specialties with frontline exposure | 5 (2.5%) | 26 (13.1%) | 168 (84.4%) | 3.8 | .147 | 0 | 7 (1.1%) | 76 (12.2%) | 3.7 | .160 | 1 (0.2%) | 8 (1.7%) | 37 (7.8%) |
| Other | 1 (3.2%) | 6 (19.4%) | 24 (77.4%) | 0 | 1 (0.2%) | 13 (2.1%) | 0 | 3 (0.6%) | 3 (0.6%) | ||||
| No | 56 (3.9%) | 231 (16.1%) | 1149 (80.0%) | 6.0 | .051 | 4 (0.6%) | 33 (5.3%) | 124 (19.9%) | 14.8 | 2 (0.4%) | 27 (5.7%) | 113 (24%) | |
| Yes | 16 (2.9%) | 112 (20.4%) | 420 (76.6%) | 1 (0.2%) | 57 (9.1%) | 405 (64.9%) | 8 (1.7%) | 55 (11.6%) | 268 (56.7%) | ||||
| It would give me more time to explore different specialties | 10 (3.2%) | 55 (17.6%) | 247 (79.2%) | 0.2 | .901 | 3 (0.48%) | 14 (2.2%) | 78 (12.5%) | 7.9 | 1 (0.2%) | 13 (2.7%) | 68 (14.4%) | |
| It would make me more likely to match to my satisfaction | 3 (1.3%) | 39 (16.5%) | 195 (82.3%) | 4.6 | .100 | 1 (0.2%) | 17 (2.7%) | 55 (0.8%) | 5.7 | .058 | 0 | 7 (1.5%) | 48 (10.1%) |
| I may not be able to meet the requirements for residency acceptance | 3 (1.4%) | 39 (17.7%) | 178 (80.9%) | 3.6 | .163 | 0 | 13 (2.1%) | 57 (9.1%) | 1.7 | .432 | 0 | 8 (1.7%) | 39 (8.2%) |
| I want to use the extra year to explore new interests that developed during the pandemic | 3 (1.8%) | 23 (13.7%) | 142 (84.5%) | 3.7 | .151 | 0 | 7 (1.1%) | 61 (9.8%) | 1.7 | .421 | 1 (0.2%) | 6 (1.3%) | 32 (6.7%) |
| Other | 0 | 1 (11.1%) | 8 (88.9%) | 0 | 0 | 4 (0.6%) | 0 | 0 | 1 (0.2%) | ||||
aPercentages were calculated based on the total of number of students who responded to the items
bRespondents could select more than one answer
Fig. 4Activities students engaged in during the pandemic away from the medical school and hospital