Assessment of Cognitive Impairment in Geriatrics Outpatient Clinics–Achieving Standards of Care
Bibliographic record
Abstract
Dementia involves progressive structural changes to the brain, causing cognitive deficits in multiple domains.These impair a person's capacity to carry out activities of daily living (ADLs), which has widespread implications affecting the individual, families and their communities.In the Asia-Pacific, dementia is a rising concern, especially with the predicted exponential increase in older people that will develop dementia.1 There is no baseline data on dementia prevalence in Brunei.However, based on the Alzheimer's Disease International report on dementia in the Asia-Pacific Region, it is estimated there is up to 2,000 people with dementia, most of which may be undiagnosed.2 However, risk factors for dementia such as smoking, diabetes, hypertension and hypercholesterolaemia are prevalent.3 It is likely that many cases remain undiagnosed, with delayed presentations to clinicians.Early diagnosis and appropriate assessment of people ABSTRACT Background/Purpose: Dementia is predicted to increase exponentially in the Asia-Pacific.A general approach and quality standards are expected in an outpatient clinic when people present with cognitive complaints.The quality of dementia assessment in a geriatrics outpatient clinic was audited against locally developed standards for dementia diagnosis and assessment.Methods: Standards included timely specialist review, blood tests and brain imaging, documented diagnosis including subtype and severity if dementia, behavioural and psychological symptoms of dementia (BPSD) and safety risk with activities of daily living including occupation, driving, cooking, finances and medications, and offer acetylcholinesterase inhibitors if indicated and cognitive stimulation therapy (CST).Data was obtained retrospectively from electronic records for a year.Results: Among the 43 new referrals for cognitive impairment, 70% had dementia.Overall, patients referred for cognitive impairment are seen in a timely manner, with high compliance for completing appropriate blood tests and brain imaging requests.Conclusion: Specific details regarding dementia such as subtype and complications such as BPSD could be improved.More proactive referrals to support services and CST are required.
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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 | 0.012 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".