Advances in the treatment of psychiatric disorders in long-term care homes
Bibliographic record
Abstract
PURPOSE OF REVIEW: Psychiatric disorders are common among older adults in long-term care (LTC) homes and the LTC population is rapidly growing in many countries. Treatment of psychiatric conditions in this population is challenging given the psychosocial environment and physical frailty of the population. This review highlights some important advances in pharmacological and nonpharmacological interventions in this setting. RECENT FINDINGS: There is some evidence to support the use of psychosocial interventions for behavioral symptoms, including those utilizing sensory interventions such as aromatherapy and calming music; behavioral management techniques; cognitive stimulation; physical activity; and staff training. There is also some evidence to support the use of psychotherapies such as reminiscence therapy and cognitive behavior therapy for depression. Recent literature on the pharmacological management of behavioral symptoms of dementia have included studies of the antipsychotic aripiprazole, prazosin, and medication-discontinuation trials along with two negative studies involving melatonin and oxcarbazepine. SUMMARY: The literature on psychosocial interventions for behavioral symptoms associated with dementia has been criticized for lack of vigor, but there is growing evidence from studies with improved methodology that these interventions may confer significant benefits, although the effect sizes are often small or moderate. More well designed trials of pharmacological therapies in the LTC population are also necessary.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".