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Record W2111964728

Characteristics and practice patterns of international medical graduates: how different are they from those of Canadian-trained physicians?

2007· article· en· W2111964728 on OpenAlexaffabout
Amardeep Thind, I Cohen, Cathy Thorpe, Andrea Burt, Moira Stewart

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsWestern University
Fundersnot available
KeywordsIMGCensusFamily medicineMedicineMedical practiceMedical educationEnvironmental healthPopulation
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the personal characteristics and practice patterns of international medical graduates (IMGs) practising in southwestern Ontario and to compare them with the personal characteristics and practice patterns of Canadian-trained family physicians practising in the same region. DESIGN: Cross-sectional analysis of data gathered from a census of family physicians. SETTING: Southwestern Ontario. PARTICIPANTS: A total of 685 family physicians. MAIN OUTCOME MEASURES: Characteristics and practice patterns of IMG physicians and Canadian-trained physicians. RESULTS: Among all family physicians practising in southwestern Ontario, 15.3% were IMGs. The IMGs were more likely than Canadian-trained medical graduates to be older and to have been in practice longer, and less likely to have completed a family medicine residency or to have been involved in undergraduate or postgraduate teaching. The IMGs were more likely to have practised longer in their current locations and to be in solo practice and accepting new patients, but were less likely to be providing maternity and newborn care. They were also more likely than Canadian-trained medical graduates were to be serving in small towns and rural and isolated communities. CONCLUSION: The personal and practice characteristics of IMG physicians vary somewhat from those of their Canadian-trained colleagues. Policy efforts aimed at increasing and integrating IMG family physicians into the work force need to recognize these differences. Further research is needed before our results can be generalized to physicians practising beyond southwestern Ontario.

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)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.102
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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)0.0000.000

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 head0.070
GPT teacher head0.374
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 teacher head, 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

Citations22
Published2007
Admission routes2
Has abstractyes

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