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Record W2012830906 · doi:10.1080/10401334.2014.945393

A Framework for Understanding International Medical Graduate Challenges During Transition Into Fellowship Programs

2014· article· en· W2012830906 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTeaching and Learning in Medicine · 2014
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsSunnybrook Health Science CentreUniversity of TorontoHealth Sciences CentreUniversity Health Network
Fundersnot available
KeywordsMedical educationTransition (genetics)Graduate medical educationGraduate studentsPsychologyMedicineAccreditationChemistry

Abstract

fetched live from OpenAlex

BACKGROUND: Previous studies have highlighted unique needs of international medical graduates (IMG) during their transition into medical training programs; however, limited data exist on IMG needs specific to fellowship training. PURPOSES: We conducted the following mixed-method study to determine IMG fellow training needs during the transition into fellowship training programs in psychiatry and surgery. METHODS: The authors conducted a mixed-methods study consisting of an online survey of IMG fellows and their supervisors in psychiatry or surgery fellowship training programs and individual interviews of IMG fellows. The survey assessed (a) fellows' and supervisors' perceptions on IMG challenges in clinical communication, health systems, and education domains and (b) past orientation initiatives. In the second phase of the study, IMG fellows were interviewed during the latter half of their fellowship training, and perceptions regarding orientation and adaptation to fellowship in Canada were assessed. Survey data were analyzed using descriptive and Mann-Whitney U statistics. Qualitative interviews were analyzed using grounded theory methodology. RESULTS: The survey response rate was 76% (35/46) and 69% (35/51) for IMG fellows and supervisors, respectively. Fellows reported the greatest difficulty with adapting to the hospital system, medical documentation, and balancing one's professional and personal life. Supervisors believed that fellows had the greatest difficulty with managing language and slang in Canada, the healthcare system, and an interprofessional team. In Phase 2, fellows generated themes of disorientation, disconnection, interprofessional team challenges, a need for IMG fellow resources, and a benefit from training in a multicultural setting. CONCLUSIONS: Our study results highlight the need for IMG specific orientation resources for fellows and supervisors. Maslow's Hierarchy of Needs may be a useful framework for understanding IMG training needs.

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.

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)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.185
GPT teacher head0.473
Teacher spread0.288 · 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