The effect of COVID-19 on medical students’ education and wellbeing: a cross-sectional survey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Canadian medical school curriculums have undergone major restructuring during the COVID-19 pandemic. This study’s goal was to assess the perceived impact of COVID-19 on medical students’ education and wellbeing. Methods: An online survey was distributed to Canadian medical students. Descriptive analyses and ANOVAs were used to assess changes in mental health, health habits and quality of education during the pandemic. Results: 248 medical students from 13 schools across Canada participated in this study. 74% reported a reduction in the quality of their education since COVID-19. 58% of students found online to be inferior to in-person teaching. 65% of students had more time for wellness and leisure activities, about half of the cohort felt more depressed (48%) and lonelier (52%). Student’s overall health habits worsened after the start of the pandemic (F=37.4, p < 0.001). Alcohol drinking, time spent seated, and screen time also increased since the pandemic (p < 0.001). During the pandemic, students with a prior history of depression or anxiety expressed increased depressive symptoms (66% vs. 42%, p =0.003), increased anxiety (69% vs. 41%, p < 0001), worse sleep quality (34% vs. 18%, p = 0.031), and poorer quality of life (55% vs. 65%, p = 0.024) versus those with no prior history. Conclusion: Canadian medical student’s education and wellbeing has been negatively impacted during the pandemic.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it