Antipsychotic medications and disruptive behavior in long term care : a path analysis / by Annie Roy.
Bibliographic record
Abstract
"The purpose of this study was to examine the frequencies and structure of score on Minimum Data Set 2.0 (MDS 2.0) items relevant to disruptive behaviour and antipsychotic medications in Ontario LTC home residents. These items consisted of delirium, restraint use, activities of daily living (ADLs), depression, cognitive impairment and bladder incontinence. Lisrel Path analysis was used for the analysis. Significant positive effects were found between delirium and disruptive behaviour, cognitive impairment and delirium, disruptive behaviour and antipsychotic medication, depression and disruptive behaviour, depression and delirium, restraint use and delirium, cognitive impairment and antipsychotic medication, ADLs and antipsychotic medication, ADLs and restraint use, cognitive impairment and restraint use. Significant negative effects were found between antipsychotic medication and disruptive behaviour, ADLs and antipsychotic medication, and disruptive behaviour and delirium."--Abstract.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".