Effect of an interdisciplinary educational program on antipsychotic prescribing among nursing home residents with dementia
Bibliographic record
Abstract
OBJECTIVE: To assess the effect of an interdisciplinary educational program in reducing the use of antipsychotics in nursing home residents with dementia. METHODS: We conducted a longitudinal pilot study to test the implementation of a 7-month interdisciplinary educational program in a fixed cohort of residents with dementia receiving antipsychotics. The program included consciousness-raising, educational sessions, and clinical follow-up. Administrators, physicians, pharmacists, nursing staff, and personal care attendants were involved. The effect of the program was assessed over a 6-month period, in terms of the proportion of discontinuations and dose reductions of antipsychotics. Repeated measures for use of other psychotropics and restraints, frequency of disruptive behaviors, and stressful events experienced by nursing staff and personal care attendants were simultaneously assessed. RESULTS: Among the 81 residents still present at the end of the program, there were 40 (49.4%) discontinuations and 11 (13.6%) dose reductions. No significant changes were found in the use of other psychotropics, the use of restraints, or in the number of stressful events experienced by nursing staff and personal care attendants. The frequency of disruptive behaviors decreased significantly over the 6-month period (p<0.001). CONCLUSIONS: Our interdisciplinary educational program led to a substantial reduction in the number of residents receiving antipsychotics and to a decrease in the frequency of disruptive behaviors. Our findings suggest that implementation of recognized practice guidelines could be an effective way to target residents who might not benefit from antipsychotics or who may tolerate a dose reduction.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".