Supporting Medical Student Wellness During a Pandemic: A Pilot Study of an Extra-Curricular Resilience-Promotion Program
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: Medical students face a unique collection of stressors, both intrinsic and external with consequences to health and well-being, ultimately impacting patient care. Health education institutions play a role in perpetuating or mitigating this experience of stress. Objective: This pilot project aimed to identify the impact of an extra-curricular wellness program on well-being among naturopathic medical students. Methods: Participants engaged in a 2-day facilitated wellness retreat followed by three monthly workshops, which coincided with the onset of the COVID-19 pandemic. Frequencies of pre-defined behaviours, and validated measures of stress, resilience, and mental health were assessed prior to the start of the program, immediately upon completion, and 6 months after the program concluded and were compared with wait-listed controls. Results: There was a clear trend toward reduced stress perception and anxiety, along with improved resilience among program participants through the duration of the study and compared with controls. The positive trends over the course of the study, especially during a global pandemic, suggests that the intervention was beneficial to participants. Conclusion: The results suggest that supporting students in cultivating the skills of resilient coping may reduce perceived stress and improve mental health for medical students, even during times of uncontrollable external stress.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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