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Faculty Evaluation by Residents in an Emergency Medicine Program: A New Evaluation Instrument

2000· article· en· W2045809137 on OpenAlexaff
Ivan P. Steiner, Jeffrey Michael Franc, Karen D. Kelly, Brian H. Rowe

Bibliographic record

VenueAcademic Emergency Medicine · 2000
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicinePreceptorEmergency departmentScale (ratio)Rating scaleReliability (semiconductor)Medical physicsFamily medicineEmergency medicineMedical educationNursingPsychology

Abstract

fetched live from OpenAlex

OBJECTIVE: Evaluation of preceptors in training programs is essential; however, little research has been performed in the setting of the emergency department (ED). The goal of this pilot study was to determine the validity and reliability of a faculty evaluation instrument-the Emergency Rotation (ER) scale-developed specifically for use in emergency medicine (EM). METHODS: A prospective study comparing the ER scale with two alternative faculty evaluation instruments was completed in three of the five EDs affiliated with an EM teaching program, where emergency physicians are members of the clinical teaching faculty. The participants were 18 residents (postgraduate years 1, 2, and 3) who were completing four-week clinical rotations in EM. Residents at the end of the rotation recorded their evaluations of each emergency physician with whom they had clinical encounters on the following evaluation tools: the ER scale, a longer validated scale (Irby), and a global assessment scale (GAS). Domain scores were correlated with the previously validated scale and the GAS to determine validity using a multitrait-multimethod matrix. The reliability of the ER scale was measured using a Chronbach's alpha coefficient. RESULTS: Forty-eight preceptor evaluations were completed on 29 individual preceptors. The rating of preceptors was high using the ER scale (median: 16 of 20; IQR: 13, 18), Irby (median: 300 of 378; IQR: 267, 321), or GAS (mean: 7.8 of 10; SD: 1.3). Domain scores for each tool were used in the multitrait-multimethod matrix and the correlations between a previously validated tool and the ER scale were found to be high (>0.70) in the various domains. The internal consistency of the ER scale was also high (r = 0.85). CONCLUSIONS: The ER scale appears to be valid and reliable. It performs well when compared with previously psychometrically tested tools. It is a sensible, well-adapted tool for the teaching environment offered by EM.

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)0.015
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.002
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 head0.151
GPT teacher head0.500
Teacher spread0.349 · 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 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

Citations39
Published2000
Admission routes1
Has abstractyes

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