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Record W2005399837 · doi:10.3402/meo.v12i.4459

Wellness and Impairment Content in Schools of Medicine Curricula in the United States and Canada

2007· article· en· W2005399837 on OpenAlexaboutno aff
Shannon B. Moss, Patrick O. Smith

Bibliographic record

VenueMedical Education Online · 2007
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumStressorMedical educationDysfunctional familyMedicineMedical schoolFamily medicineSubstance abuseMental healthPsychologyPsychiatryPedagogy

Abstract

fetched live from OpenAlex

Medical students experience numerous stressors, ranging from academic demands to financial strain. These stressors contribute to medical students having a substantial incidence of psychological problems, substance abuse, and seeking of mental health treatment. Left untreated, these problems can result in dysfunctional habit development and subsequent professional impairment. Research has demonstrated the benefits of wellness-impairment educational programs in medical education, but it is unknown to what degree the topics of wellness and impairment are included in medical school curricula. To assess this, a 13-item survey instrument was sent to associate deans in 142 schools of allopathic medicine; 71 (50.0%) responded. The majority of respondents reported that physician impairment (95.8%) and wellness (77.5%) are addressed in their school of medicine curricula, although the degree to which these topics were included varied. Access to other health-promoting resources on campus was also assessed and is discussed. Results suggested that there is a disparity between primary and secondary prevention approaches on school of medicine campuses. Implications for curricula and directions for future research are discussed.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.049
GPT teacher head0.454
Teacher spread0.405 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations6
Published2007
Admission routes1
Has abstractyes

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