Prevalence of psychiatric disorders among older adults in long-term care homes: a systematic review
Bibliographic record
Abstract
BACKGROUND: The population of older adults in long-term care (LTC) is expected to increase considerably in the near future. An understanding of the prevalence of psychiatric disorders in LTC will help in planning mental health services for this population. This study reviews the prevalence of common psychiatric disorders in LTC populations. METHODS: We searched electronic databases for studies on the prevalence of major psychiatric disorders in LTC using medical subject headings and key words. We only included studies using validated measures for diagnosing psychiatric disorders or psychiatric symptoms. Our review focused on the following psychiatric disorders: dementia, behavioral and psychological symptoms of dementia (BPSD), major depression, depressive symptoms, bipolar disorder, anxiety disorders, schizophrenia, and alcohol use disorders. We also determined the prevalence of psychiatric disorders in the U.S. LTC population using data from the 2004 National Nursing Home Survey (NNHS). RESULTS: A total of 74 studies examining the prevalence of psychiatric disorders and psychological symptoms in LTC populations were identified including 30 studies on the prevalence of dementia, 9 studies on behavioral symptoms in dementia, and 26 studies on depression. Most studies involved few LTC facilities and were conducted in developed countries. Dementia had a median prevalence (58%) in studies while the prevalence of BPSD was 78% among individuals with dementia. The median prevalence of major depressive disorder was 10% while the median prevalence of depressive symptoms was 29% among LTC residents. There were few studies on other psychiatric disorders. Results from the 2004 NNHS were consistent with those in the published literature. CONCLUSIONS: Dementia, depression and anxiety disorders are the most common psychiatric disorders among older adults in LTC. Many psychiatric disorders appear to be more prevalent in LTC settings when compared to those observed in community-dwelling older adults. Policy-makers and clinicians should be aware of the common psychiatric disorders in LTC and further research into effective prevention and treatments are required for this growing 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 | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".