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Results of Remedial Continuing Medical Education in Dyscompetent Physicians

2000· article· en· W1973415889 on OpenAlexaff
Eileen Hanna, John Premi, John Turnbull

Bibliographic record

VenueAcademic Medicine · 2000
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsRemedial educationContinuing medical educationCompetence (human resources)MedicineModalitiesContinuing educationMedical educationPopulationFamily medicineNursingPsychology

Abstract

fetched live from OpenAlex

PURPOSE: Noticing that moderately to severely incompetent physicians (as measured by a standardized assessment of physician competence) did not improve after traditional remedial continuing medical education (CME), the authors investigated the effects of a polyvalent, intensive, prolonged educational intervention on five physicians' competence. METHOD: The five physicians participated in a CME program that lasted three years and consisted of individualized review, ongoing small-group and evidence-based discussions, simulated patients and role playing, formal chart review, and peer review. At the end of the program, the physicians were reassessed. RESULTS: Only one physician improved; another remained the same, and three deteriorated. CONCLUSION: Successful remediation of severely incompetent physicians is uncertain at best, even with prolonged, intensive CME that incorporates modalities thought to be effective in changing physicians' behaviors. Alternative educational techniques may need to be developed for this select population. Conversely, there may be reasons that preclude improvement even with optimal techniques.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.354
Teacher spread0.341 · 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 designOther design
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

Citations33
Published2000
Admission routes1
Has abstractyes

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