Education about dementia in primary care: Is person-centredness the key?
Bibliographic record
Abstract
Primary care is ideally placed to recognise and manage dementia and yet dementia can be overlooked or misattributed by primary care practitioners and is underdiagnosed. This might be explained by a lack of formal training in the diagnosis of dementia combined with a reluctance to diagnose due to its associated stigma. This paper describes focus group work with service users, carers and health professionals, conducted to develop an educational intervention for primary care promoting person-centred responses to people experiencing cognitive decline and dementia. Data was analysed thematically and four themes emerged: Reframing dementia as cognitive decline (Individual level); triggers for the recognition of dementia (Practitioner level); engaging the whole primary care team (Practice level); the relationship between primary and secondary care (Service level). Findings are discussed in the context of their contribution to challenging attitudes to dementia in primary care and the positive aspects of person-centred primary care for dementia.
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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 | 0.000 | 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 | 0.000 | 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) | 0.002 | 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 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".