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Assessment of English proficiency in international medical graduates by physician examiners and standardized patients

2001· article· en· W2043193557 on OpenAlexaffabout
Arthur I. Rothman, Michael D. Cusimano

Bibliographic record

VenueMedical Education · 2001
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIMGFamily medicineChristian ministryLicensureMedicinePsychologyOral examinationMedical educationOral health

Abstract

fetched live from OpenAlex

CONTEXT: Since 1986, the Ontario Ministry of Health has provided a medical licensure preparation programme for international medical graduates. Because of the diversity in candidates' oral English proficiency, this competency has been viewed as a particularly important selection criterion. OBJECTIVES: To assess and compare the quality of ratings of oral English proficiency of international medical graduates provided by physician examiners and by standardized patients (SPs). PARTICIPANTS AND MATERIALS: The study samples consisted of 73 candidates for the Ontario International Medical Graduate (IMG) Program, and physician examiners and SPs in five 10-minute encounter objective structured clinical examination (OSCE) stations. Materials used were a seven-item speaking performance rating instrument prepared for the Ontario IMG Program. METHODS: Rating sheets were scanned and the results analysed using SPSS 9.0 for Windows. RESULTS: Correlations between the physician and SP ratings on the seven items ranged from 0.52 to 0.70. The SPs provided more lenient ratings. Mean alpha reliability for the physicians' ratings on the seven items was 0.59, and for the SPs' 0.64. There was poor agreement between the two sets of raters in identifying problematic candidates. CONCLUSIONS: Notwithstanding the sizable correlations between the ratings provided by the two rater groups, the results demonstrated that there was little agreement between the two groups in identifying the potentially problematic candidates. The physicians were less prone than the SPs to rate candidates as problematic. SPs may be better placed than the physician examiners to directly assess IMG candidates' oral English proficiency.

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)0.001
metaresearch head score (Gemma)0.006
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
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 integrity0.0000.000
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 head0.015
GPT teacher head0.445
Teacher spread0.430 · 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

Citations19
Published2001
Admission routes2
Has abstractyes

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