Psychotropic Medication Use in Canadian Long-Term Care Patients Referred for Psychogeriatric Consultation
Bibliographic record
Abstract
UNLABELLED: BACKGROUND AND PUSPOSE: Prior studies have shown a high prevalence of psychotropic medication use among patients residing in long-term care homes (LTCHs). The purpose of this study was to examine psychotropic medication use by LTCH patients in a metropolitan Canadian city referred to outreach teams for psychiatric assessment. METHODS: A retrospective review of charts from specialized psychogeriatric outreach teams serving a large metropolitan city in Canada was undertaken. Data from 68 charts were reviewed. Data were analyzed using descriptive and correlational statistics. RESULTS: Antipsychotic medications were the most frequent drugs prescribed to patients referred for psychogeriatric assessment (55.9%), followed by antidepressants (50.0%), cognitive enhancers (44.1%) and benzodiazepines (29.4%). More than a quarter of patients (26.5%) were on three psychotropic medications. Medications were adjusted in 35.3% of cases mostly resulting in dose increases. Only 5.9% of patients had their medication dose reduced. CONCLUSIONS: This preliminary exploratory study suggests that patients referred to specialized outreach teams may be a difficult-to-treat population. Further studies are required to establish effective prescribing practices and service delivery models.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 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".