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Record W4410644009 · doi:10.1080/14739879.2025.2506070

Cultural concordant care: insights from international medical graduate family physicians in Canadian practice

2025· article· en· W4410644009 on OpenAlex
Jacqueline Torti, Sudha Koppula, Olga Szafran, Kimberley Duerksen, Martina Barton

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

VenueEducation for Primary Care · 2025
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMedical educationGraduate medical educationMedical practicePrimary careMedicineFamily medicinePatient carePsychologyNursingAccreditation

Abstract

fetched live from OpenAlex

Within Canada, 25% of physicians are international medical graduates (IMGs) who completed medical school outside of Canada. While they may share similar cultural backgrounds with Canada's multi-cultural population, they have been trained abroad. The purpose of this study was to identify the rewards and challenges experienced by IMG family physicians when caring for patients of the same cultural background as the physician. Using a descriptive qualitative approach, we conducted in-depth, semi-structured interviews with 18 practicing, licenced IMG family physicians in Edmonton and Calgary, Alberta, Canada. The interview questions addressed the rewards and challenges of providing culturally concordant care. Audiotaped interviews were transcribed and subject to qualitative latent content analysis. The study findings revealed that the rewards of caring for patients of the same cultural background as the IMG family physician included: shared cultural values; a common language; and establishment of patient rapport and trust. The challenges associated with caring for patients of the same cultural background as the IMG physician included: concerns with patients crossing boundaries; communication challenges; and perception of appointments being longer. Understanding these dynamics can help better prepare IMGs for family practice, particularly in navigating professional boundaries, which should be emphasised during IMG training and induction into the healthcare system.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
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 head0.031
GPT teacher head0.444
Teacher spread0.413 · 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