Revising the Advanced Access Model Pillars: A Multi-Method
Bibliographic record
Abstract
Context: The Advanced Access (AA) model was developed 20 years ago by Murray et al. and has been implemented in several countries. Over the last two decades, primary healthcare practice has evolved to increase interdisciplinarity in clinical teams. Thus, the need for a model that incorporates new professionals has necessitated development of a revised AA model. Objective: We aim to revise the pillars and sub-pillars of the AA model based on its contemporary practice by professionals in primary healthcare as well as their operationalization. Study Design: This s sequential multi-method consultation process was informed by a literature synthesis of 41 articles followed by a three-phase consultation with 45 AA experts :1) a deliberative face-to-face meeting; 2) an e-survey; and 3) two final virtual validation meetings Setting: AA Experts from across the province of Quebec, Canada. Population studied: The panel of experts represented provincial and local decision-makers, primary healthcare clinic members (family physicians, nurses and administrative staff), patients and researchers Outcome Measures: Throughout the consultation process, participants were asked to develop a common vision of the pillars and sub-pillars that make up the revised AA model and react to suggested definitions or content. Instrument: The final consensual AA model pillars and their operational definitions. Results: The revised AA model is defined by five pillars: two were updated from the original model (“Appointment system” and “Interprofessional practice”), one was merged with a revised pillar (“Develop contingency plans” with “Planning of needs and supply”), and another one underwent major changes (from “Backlog reduction” to “Continuous adjustment”); finally, An emerging new pillar concerns the communication process. Subsequent steps for operationalizing definitions of sub-pillars confirmed the nature of the revised AA pillars and stabilized their content. Conclusion: The revised contemporary AA model that obtained strong consensus among participating experts and reflects contemporary practice in Canada. The revised model will be used to develop a reflective tool for primary healthcare professionals to evaluate their AA practice.
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 | 0.325 | 0.274 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.011 | 0.008 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.006 | 0.014 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".