Psychotropic Drug Prescribing Survey in a Canadian Rehabilitation and Complex Care Facility
Bibliographic record
Abstract
OBJECTIVE: To describe rates of inpatient prescribing of psychotropic drugs in a rehabilitation and complex continuing care setting. DESIGN: Cross-sectional, observational study. SETTING: Providence Healthcare, Toronto, Ontario, Canada. PATIENTS: Inpatients registered in the hospital on each of four annual audit dates. INTERVENTION: An audit of medication profiles for the presence of psychotropic prescriptions, done yearly on a single day in May 2007, 2008, 2010, and 2011. MAIN OUTCOME MEASURES: The percentage of inpatients prescribed at least one antidepressant, antipsychotic, benzodiazepine, or zopiclone. RESULTS: The percentage of inpatients with at least one prescription for each class of psychotropic drug (ranging from the lowest to highest audit-year results) were as follows: any psychotropic (55% to 63%), benzodiazepines or zopiclone (31% to 40%), antidepressants (24% to 32%), antipsychotics (7% to 13%). Rates of polypharmacy within classes was highest with antidepressants, followed by benzodiazepines (including zopiclone), then antipsychotics. CONCLUSION: Despite the limitations associated with cross-sectional, observational data, rates of prescribing of psychotropic medication, apart from antipsychotics, were high. Future research will be performed to assess appropriateness of prescribing and adverse events.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".