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Record W115228194 · doi:10.1177/070674371205700411

The Enablers and Barriers to the Use of Direct Observation of Trainee Clinical Skills by Supervising Faculty in a Psychiatry Residency Program

2012· article· en· W115228194 on OpenAlexaffvenueabout
Robert Madan, David Conn, Elyse Dubo, Peter Voore, Leslie Wiesenfeld

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2012
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsCentre for Addiction and Mental HealthSunnybrook HospitalUniversity of Toronto
Fundersnot available
KeywordsMedical educationCompensation (psychology)PsychologyMedicineFamily medicineSocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: Studies have reported that medical trainees do not get sufficient direct observation. Our study aimed to determine the frequency of direct observation and the enablers and barriers to direct observation in the department of psychiatry at a large Canadian university. METHOD: Focus groups and interviews explored the role and use of direct observation, followed by a survey both of faculty and of residents. RESULTS: Direct observation was used in various contexts in the residents' last rotation. Missed opportunities are identified. Enablers include financial compensation, guidelines, and a discussion at the beginning of each clinical rotation. Barriers are identified at the resident, faculty, and administrative levels. CONCLUSIONS: Direct observation is used in many contexts in psychiatric training. While there are barriers which limit its use, our data indicate numerous potential enablers and missed opportunities for more observation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.086
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.086
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.060
GPT teacher head0.364
Teacher spread0.304 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations38
Published2012
Admission routes3
Has abstractyes

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