Revising the advanced access model pillars: a multimethod study
Bibliographic record
Abstract
BACKGROUND: The advanced access model was developed 20 years ago and has been implemented in several countries. We aimed to revise and operationalize the pillars and subpillars of the advanced access model based on its contemporary practice by professionals in primary health care. METHODS: This multimethod sequential study was informed by a literature review and an expert panel of provincial and local decision-makers, primary health care clinic members (family physicians, nurses and administrative staff), patients and researchers from the province of Quebec. Throughout the consultation process, participants were asked to develop a common vision of the pillars and subpillars that make up the advanced access model and to react to suggested definitions or content. RESULTS: The revised advanced access model is defined by 5 pillars, of which 2 were updated from the original model ("Appointment system" and "Interprofessional practice"), 1 was merged with a revised pillar ("Develop contingency plans" with "Planning of needs and supply") and 1 underwent major transformations ("Backlog reduction" to "Continuous adjustment"). A new pillar concerning communication emerged from the consultation process. Subsequent steps for operationalizing definitions of subpillars confirmed the nature of the revised advanced access pillars and stabilized their content. INTERPRETATION: The overall consultation process resulted in a revised contemporary advanced access model, with strong consensus among participating experts. The revised model will be used to develop a reflective tool for primary health care professionals to evaluate their advanced access practice.
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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 | 0.284 | 0.250 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".