Improving Mental Health in the Community: Outcome Evaluation of a Geriatric Mental Health Day Treatment Service
Bibliographic record
Abstract
OBJECTIVES: This program evaluation reviewed the outcomes of a new 10-week multi-modal mental health day treatment program for elderly clients with mood and anxiety disorders. METHODS: A retrospective chart review of clients admitted during the first 3 years of the program (N = 255) was conducted. Paired sample t-tests were used to compare admission and discharge data. Focus groups were run with clients who attended the program during the previous months, to delineate the strengths of the program and to identify areas for improvement. RESULTS: Analyses showed statistically and clinically significant improvements in client symptomatology, as evidenced by reductions on the Geriatric Depression Scale and the Clinical Outcomes in Routine Evaluation Outcome Measure in clients who completed the program. Focus group participants overwhelmingly described the program as very beneficial, but the desire for on-going follow-up was clearly articulated. CONCLUSIONS: A practice model employing group-based cognitive-behavioural and interpersonal strategies that emphasizes behavioral activation and socialization is associated with a reduction in depressive symptoms and psychological distress in a large sample of elderly adults in a day treatment service with mild to moderate symptoms of depression and anxiety. CLINICAL IMPLICATIONS: In the future, a mechanism for on-going mental health support should be included. Many clients want to remain connected to the system, but there is not always a clear path along the continuum of care, particularly for clients who no longer meet criteria for a psychiatric disorder.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".