69. International medical graduates (IMGs) needs assessment study: A comparison between current IMG trainees and program directorss
Bibliographic record
Abstract
A needs assessment study was conducted to explore the types of issues or challenges IMG trainees encounter and the experiences of Program Directors with teaching this unique group. Both groups were asked to rate the importance of a series of issues in a horizontal curriculum using a 5-point Likert Scale. These issues fell under one of the following categories: Clinical Skills and Knowledge, Other Skills, Communication and Working Relationships, Macro Issues and Other Work-Related Issues. The scale was then collapsed to a 3-point Likert scale. Results were used to develop a horizontal curriculum for incoming IMGs to help ease their transition into residency training within the Canadian context. The majority of program directors (93%) and IMG trainees (63%) surveyed agreed that a horizontal curriculum for IMGs should be developed. Program Directors indicated that basic clinical skills and communication with team members were important to include (79% and 90%, respectively). IMGs felt that Marco Issues were importance in a horizontal curriculum, namely an orientation about the Canadian healthcare system and site hospitals (71% and 59%, respectively), followed by communication with patients (67%). Significant differences were found with regards to the inclusion of communication with other residents and the inclusion of orientation sessions on the Canadian Health Care System and site hospitals. These findings demonstrate there is a need for a core IMG curriculum. There is a slight disparity regarding what specific topics to include but a consensus between both groups exists on the primary domains of communication, inclusion of specialty specific skills and knowledge as well as professional interaction. Kraemer M. Educational Challenges of International Medical Graduates in Psychiatric Residents. Journal of the American Academy of Psychoanalysis and Dynamic Psychiatry 2006; 34(1):163-171. Whelan GP. Coming to American: The integration of the International Medical Graduates into the American Medical Culture. Academic Medicine 2005; 81(2):176-178. Majumdar, B, Keystone JS, Cuttress LA. Cultural Sensitivity Training among Foreign Medical Graduates. Medical Education 1999; 33:177-184.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".