The impact of perceived social support and coping on distress in a sample of Atlantic Canadian health professional students during COVID-19 compared to pre-COVID peers
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
PURPOSE: Students pursuing higher education and health professional (HP) programs (e.g., nursing, pharmacy, social work, medicine) experience stressors including academic pressures, workload, developing professional competencies, professional socialization, the hidden curriculum, entering clinical practice and navigating relationships with colleagues. Such stress can have detrimental effects on HP students physical and psychological functioning and can adversely affect patient care. This study examined the role of perceived social support and resilience in predicting distress of Atlantic Canadian HP students during the COVID-19 pandemic and compared the findings to a pre-COVID population of age and sex matched Canadians. METHOD: Second year HP students (N = 93) completed a survey assessing distress, perceived social support, and resilience and open-ended questions on student awareness of supports and counselling available to them, their use/barriers to the services, and the impact of COVID-19 on their personal functioning. HP student responses were also compared with age and sex matched Canadian peers from data collected prior to COVID-19. RESULTS: It was found that HP students reported moderate to severe psychological distress, and while they reported high levels of social support on a measure of perceived social support they also reported that the COVID-19 pandemic made them feel isolated and that they lacked social support. It was found that the sample of HP students reported significantly higher psychological distress than the mean scores of the age and sex matched sample of Canadian peers. CONCLUSIONS: These findings call for creation of more tailored interventions and supports for HP students.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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