MétaCan
Menu
Back to cohort
Record W3128942101 · doi:10.1097/acm.0000000000003991

We Burn Out, We Break, We Die: Medical Schools Must Change Their Culture to Preserve Medical Student Mental Health

2021· article· en· W3128942101 on OpenAlexaff
Christopher Thomas Veal

Bibliographic record

VenueAcademic Medicine · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsMental healthFeelingSuicidal ideationVulnerability (computing)Medical educationPsychologyConfidentialityInstitutionBurnoutSuicide preventionMedicineNursingPsychiatryPoison controlSocial psychologyMedical emergencySociologyClinical psychologyPolitical science

Abstract

fetched live from OpenAlex

The author explores medical student depression and suicide through the lens of the author's personal struggle during the first 2 years of medical school. While the author's story is unique, other medical students have also faced challenges that have led them to consider a permanent solution to a temporary problem. Although resources are available, stigma represents a significant barrier for students as they decide whether to seek help. Students fear that showing the slightest hint of vulnerability or imperfection will be used against them in an advancement committee, a course evaluation, or the dean's letter for residency applications. This difficulty asking for help and the subsequent suppression of feelings can lead to burnout and ultimately to increased risk of suicide. The author calls for medical schools to make changes to their culture to preserve medical student mental health. These include committing to helping students who are struggling academically or psychologically, implementing an institution-wide program to screen for individuals at risk for suicide, educating members of the institution's community about depression to destigmatize seeking help for mental health, and ensuring confidential mental health services are readily available to those who need them. But, most importantly, medical schools must create a culture that normalizes the need for self-care and includes vulnerability as part of training in professionalism.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.590
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0020.010
Insufficient payload (model declined to judge)0.0120.001

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.

Opus teacher head0.158
GPT teacher head0.524
Teacher spread0.366 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations34
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueAcademic MedicineSame topicHealthcare professionals’ stress and burnoutFrench-language works237,207