Supporting primary care practitioners to promote dementia risk reduction in Australian general practice: outcomes of a cross-sectional, non-randomised implementation pilot study
Bibliographic record
Abstract
Background Primary care practitioners worldwide are urged to promote dementia risk reduction as part of preventive care. To facilitate this in Australian primary care, we developed the Umbrella intervention, comprising a waiting room survey and patient information cards for use in consultations. Educational and relational strategies were employed to mitigate implementation barriers. Methods In this cross-sectional, non-randomised implementation study within the South East Melbourne Primary Health Network, we employed mixed-methods outcome evaluation. Antecedent outcomes (acceptability, appropriateness, and feasibility) and actual outcomes (adoption, penetration, and fidelity) were assessed from the perspective of primary care practitioners and patients. Results Five practices piloted the intervention and implementation strategies, including 16 primary care practitioners engaging with 159 patients. The Umbrella intervention was deemed acceptable, appropriate, and feasible, but penetration was limited. Approximately half of eligible primary care practitioners used the intervention, with moderate fidelity. Engagement with implementation strategies was similarly limited. While most strategies were well-received, improvements in online peer discussions and staff readiness were desired. Conclusions The Umbrella intervention is a viable approach to promoting dementia risk reduction in Australian general practice, supported by educational and relational strategies. Stakeholder-informed refinements to enhance uptake are recommended before advancing to a definitive trial.
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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 | 0.012 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".