Diagnosis of dementia in residential aged care settings in Australia: An opportunity for improvements in quality of care?
Bibliographic record
Abstract
OBJECTIVE: To examine the cognitive status of Australians living in residential aged care facilities (RACFs) and whether or not a dementia diagnosis was recorded. METHODS: Cross-sectional study of 541 residents of 17 RACFs spanning four states. Examination of cognitive status by Psychogeriatric Assessment Scale Cognitive Impairment Scale (PAS-Cog) and dementia diagnosis from medical records. RESULTS: The study population included 65% of residents with a diagnosis of dementia recorded, and 83% had a PAS-Cog score of four or more indicating likely cognitive impairment. More than 20% of participants had likely cognitive impairment (PAS-Cog ≥4), but no diagnosis of dementia; 11% had moderate-to-severe cognitive impairment (PAS-Cog ≥10) but no recorded dementia diagnosis. CONCLUSION: There may be a lack of formal diagnosis of dementia in Australian RACFs. Greater efforts from all health professionals to improve diagnosis in this setting are required. This is an opportunity for improved person-centred care and quality of care in this vulnerable population.
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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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 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".