Characteristics of Older Adults Hospitalized in Acute Psychiatric Units in Ontario: A Population-Based Study
Bibliographic record
Abstract
OBJECTIVE: As the numbers of older adults in Canada increases, there will be a growing need for mental health services for this population. Acute psychiatric units (APUs) provide inpatient psychiatric services for the management of serious mental illness. Understanding the characteristics of older adults in APUs is necessary to determine the range of inpatient services required for this population. METHOD: We conducted a population-based study of all adults discharged from APUs in Ontario in a 2-year period, 2008-2010, using administrative databases. We compared the characteristics of older adults (aged 66 years and older) in APUs to those of younger adults (aged 18 to 65 years), including sociodemographics, psychiatric and medical diagnoses, and measures of cognition and functioning. RESULTS: There were a total of 79 352 discharges from APUs, with older adults accounting for 8.8% of all discharges. Depressive disorder was the most common diagnosis, both in older and in younger populations (32.1% and 29.9%, respectively), while dementia accounted for 19.5% of discharges for older adults. Older adults, compared with younger adults, were more likely to have 2 or more chronic medical conditions (83.8% and 20.5%, respectively), significant cognitive impairment (47.0% and 14.5%, respectively), and moderate-to-severe functional impairment (21.8% and 3.3%, respectively). CONCLUSIONS: Older adults in APUs are a complex group, with mental health and medical care needs that differ from younger adults. APUs must be able to provide adequate psychiatric, medical, and interprofessional services to achieve optimal outcomes. Future studies are required to understand the quality of care and outcomes for older adults in APUs.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".