Perception of the compatibility of Quebec residency program characteristics with the advanced access model: a cross-sectional study
Bibliographic record
Abstract
BACKGROUND: The advanced access (AA) model is among the most recommended innovations for improving timely access in primary care (PC). AA is based on core pillars such as comprehensive planning for care needs and supply, regularly adjusting supply to demand, optimizing appointment systems, and interprofessional collaborative practices. Exposure of family medicine residents to AA within university-affiliated family medicine groups (U-FMGs) is a promising strategy to widen its dissemination and improve access. Using four AA pillars as a conceptual model, this study aimed to determine the theoretical compatibility of Quebec's university-affiliated clinics' residency programs with the key principles of AA. METHODS: A cross-sectional online survey was sent to the chief resident and academic director at each participating clinic. An overall response rate of 96% (44/46 U-FMGs) was obtained. RESULTS: No local residency program was deemed compatible with all four considered pillars. On planning for needs and supply, only one quarter of the programs were compatible with the principles of AA, owing to residents in out-of-clinic rotations often being unavailable for extended periods. On regularly adjusting supply to demand, 54% of the programs were compatible. Most (82%) programs' appointment systems were not very compatible with the AA principles, mostly because the proportion of the schedule reserved for urgent appointments was insufficient. Interprofessional collaboration opportunities in the first year of residency allowed 60% of the programs to be compatible with this pillar. CONCLUSIONS: Our study highlights the heterogeneity among local residency programs with respect to their theoretical compatibility with the key principles of AA. Future research to empirically test the hypotheses raised by this study is warranted.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".