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Record W2151339522 · doi:10.3109/0142159x.2010.488706

Teaching and learning the physician manager role: Psychiatry residents’ perspectives

2010· article· en· W2151339522 on OpenAlexaffabout
Vicky Stergiopoulos, Julie Maggi, Sanjeev Sockalingam

Bibliographic record

VenueMedical Teacher · 2010
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity Health NetworkWomen's College HospitalUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedical educationPsychologyMEDLINEMedicineNursingPsychiatryPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Despite widespread consensus that additional training in administration is needed to prepare physicians for practice, little is known about how best to teach managerial competencies and how to integrate teaching into existing postgraduate curricula. AIM: This study aimed to elicit resident perspectives on administrative curriculum development following exposure to a pilot physician manager curriculum at the University of Toronto. METHODS: The authors held five focus groups of psychiatry residents at the University of Toronto during 2008, engaging 40 trainees. Resident perspectives on barriers to teaching and learning administrative skills, preferred curriculum content and format and suggestions for integration of administrative training into the residency programme were elicited. RESULTS: Identified barriers to learning include lack of physician manager role clarity, dearth of learning opportunities and multiple competing demands on residents' time. Residents value a formal administrative curriculum and propose additional opportunities for experiential learning such as elective rotations and mentorship opportunities. Suggested strategies for integrating administrative teaching into residency include faculty development, rotation-specific administrative objectives and end of rotation resident evaluations. CONCLUSION: Our findings provide valuable learner input into an emerging educational framework aiming to address barriers to teaching administrative skills during residency and facilitate longitudinal reinforcement of learning.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
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 integrity0.0000.005
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.312
Teacher spread0.306 · 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.

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

Citations5
Published2010
Admission routes2
Has abstractyes

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