Investigating the barriers to teaching family physicians' and specialists' collaboration in the training environment: a qualitative study
Bibliographic record
Abstract
BACKGROUND: Collaboration between physicians in different specialties is often taken for granted. However, poor interactions between family physicians and specialists contribute significantly to the observed discontinuity between primary and specialty care. The objective of this study was to explore how collaboration between family physicians and specialists was conceptualised as a competency and experienced in residency training curricula of four faculties of medicine in Canada. METHODS: This is a multiple-case study based on Abbott's theory of professions. Programs targeted were family medicine, general psychiatry, radiology, and internal medicine. The content of the programs' objectives was analyzed. Associate deans of postgraduate studies, program directors, educators, and residents were interviewed individually or in focus groups (47 residents and 45 faculty members). RESULTS: The training objectives related to family physicians-specialists collaboration were phrased in very general terms and lacked specificity. Obstacles to effective collaboration were aggregated under themes of professional responsibility and questioned expertise. Both trainees and trainers reported increasing distances between specialty and general medicine in three key fields of the professional system: the workplace arena, the training setting, and the production of academic knowledge. CONCLUSION: The challenges of developing collaborating skills between generalists and specialist physicians are comparable in many ways to those encountered in inter-professional collaboration and should be given more consideration than they currently receive if we want to improve coordination between primary and specialty care.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".