Health and social care practitioners' understanding of the problems of people with dementia‐related visual processing impairment
Bibliographic record
Abstract
It has been highlighted that health and social care staff need a greater awareness of the needs and problems of those people with young onset dementia in the UK. Symptoms of Alzheimer's disease are relatively well known (memory loss, disorientation, language difficulties and behavioural problems). However, there is less awareness of dementia-related visual processing impairments in Alzheimer's disease, Dementia with Lewy Bodies or rarer dementia syndromes such as posterior cortical atrophy (PCA), leading to delayed assessment, diagnosis and management. This qualitative study explored health and social care practitioners' opinions of the needs of people with dementia-related visual processing impairment (such as individuals with PCA) and identify any training that these practitioners might need. Social workers, occupational therapists, care home staff, rehabilitation workers (visual impairment), optometrists and admiral nurses participated in focus groups or one-to-one semi-structured interviews. All participants were shown video clips of people with dementia-related visual impairment to facilitate discussion. Sixty-one participants took part in focus groups or interviews between November 2014 and December 2015. Participants' experiences and understanding of dementia were explored and thematic analysis of the data identified two major themes. Theme 1 explores participants' understanding of dementia-related visual impairments. Theme 2 recounts how participants address and support people with dementia-related visual impairment and their families. Participants discussed, reflected and critically analysed the video clips during data collection. Most considered new perspectives of their own clients' difficulties and those participants working with people with rarer dementias consolidated their experiences. However, some participants seemed hesitant to accept the existence of visual processing impairment arising due to dementia, rationalising novel information to existing understanding of memory loss or behavioural problems. This study highlights that health and social care practitioners want more training and better understanding of less well-recognised symptoms of dementia and rarer syndromes (including PCA) to ensure appropriate, evidence-based assessment and intervention.
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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 | 0.013 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".