Recommendations for the Management of Behavioral and Psychological Symptoms of Dementia
Bibliographic record
Abstract
BACKGROUND: The behavioral and psychological symptoms of dementia (BPSD) are common, serious problems that impair the quality of life for both patient and caregiver. In order to provide recommendations based upon the best available evidence, a qualitative literature review was performed. METHODS: A search of the English language medical literature published between 1966 and 2000 was performed. The quality of the studies was assessed by considering the subjects, trial design, analysis and results. Final recommendations were based upon the quality of available evidence. RESULTS: The management of BPSD begins with a thorough assessment to search for underlying causes of behaviour change. Concomitant medical illness should be treated and sensory impairment ameliorated. Nonpharmacological approaches should be instituted prior to medication use. These interventions include music, light, changes in level of stimulation and specific behavioral techniques. Antipsychotics are the best studied pharmacological intervention for agitation and aggression and have demonstrated modest but consistent efficacy. Antidepressants such as trazodone and selective serotonin re-uptake inhibitors, as well as anticonvulsants such as carbamazepine and valproic acid have also demonstrated efficacy. Benzodiazepines can be used for short-term treatment as p.r.n. agents when necessary. Pharmacotherapy must be monitored closely for both effectiveness and side effects, with consideration of medication withdrawal when appropriate. CONCLUSION: The management of BPSD can significantly improve the quality of life for the patient and caregiver. Their assessment and management are essential components of the treatment of dementia.
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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 | 0.021 | 0.066 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.010 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.011 | 0.006 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".