Medical Student Beliefs about Disclosure of Mental Health Issues: A Qualitative Study
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
In 2012 the United Kingdom's General Medical Council (GMC) commissioned research to develop guidance for medical schools on how best to support students with mental illness. One of the key findings from medical student focus groups in the study was students' strong belief that medical schools excluded students on mental health grounds. Students believed mental illness was a fitness to practice matter that led to eventual dismissal, although neither personal experience nor empirical evidence supported this belief. The objective of the present study was a deeper exploration of this belief and its underlying social mechanisms. This included any other beliefs that influenced medical students' reluctance to disclose a mental health problem, the factors that reinforced these beliefs, and the feared consequences of revealing a mental illness. The study involved a secondary analysis of qualitative data from seven focus groups involving 40 student participants across five UK medical schools in England, Scotland, and Wales. Student beliefs clustered around (1) the unacceptability of mental illness in medicine, (2) punitive medical school support systems, and (3) the view that becoming a doctor is the only successful career outcome. Reinforcing mechanisms included pressure from senior clinicians, a culture of "presenteeism," distrust of medical school staff, and expectations about conduct. Feared consequences centered on regulatory "fitness to practice" proceedings that would lead to expulsion, reputational damage, and failure to meet parents' expectations. The study's findings provide useful information for veterinary medical educators interested in creating a culture that encourages the disclosure of mental illness and contributes to the debate about mental illness within the veterinary profession.
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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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