Evaluation of the implementation and associated effects of advanced access in university family medicine groups: a study protocol
Bibliographic record
Abstract
BACKGROUND: Timely access in primary health care is one of the key issues facing health systems. Among many interventions developed around the world, advanced access is the most highly recommended intervention designed specifically to improve timely access in primary care settings. Based on greater accessibility linked with patients' relational continuity and informational continuity with a primary care professional or team, this organizational model aims to ensure that patients obtain access to healthcare services at a time and date convenient for them when needed regardless of urgency of demand. Its implementation requires a major organizational change based on reorganizing the practices of all the administrative staff and health professionals. In recent years, advanced access has largely been implemented in primary care organizations. However, despite its wide dissemination, we observe considerable variation in the implementation of the five guiding principles of this model across organizations, as well as among professionals working within the same organization. The main objective of this study is to assess the variation in the implementation of the five guiding principles of advanced access in teaching primary healthcare clinics across Quebec and to better understand the influence of the contextual factors on this variation and on outcomes. METHODS: This study will be based on an explanatory sequential design that includes 1) a quantitative survey conducted in 47 teaching primary healthcare clinics, and 2) a multiple case study using mixed data, contrasted cases (n = 4), representing various implementation profiles and geographical contexts. For each case, semi-structured interviews and focus group will be conducted with professionals and patients. Impact analyses will also be conducted in the four selected clinics using data retrieved from the electronic medical records. DISCUSSION: This study is important in social and political context marked by accessibility issues to primary care services. This research is highly relevant in a context of massive media coverage on timely access to primary healthcare and a large-scale implementation of advanced access across Quebec. This study will likely generate useful lessons and support evidence-based practices to refine and adapt the advanced access model to ensure successful implementation in various clinical contexts facing different challenges.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".