A consensus guideline for antipsychotic drug use for dementia in care homes. Bridging the gap between scientific evidence and clinical practice
Bibliographic record
Abstract
BACKGROUND: To produce a practice guideline that includes a set of detailed consensus principles regarding the prescription of antipsychotics (APs) amongst people with dementia living in care homes. METHODS: We used a modified Delphi consensus procedure with three rounds, where we actively specified and optimized statements throughout the process, utilizing input from four focus groups, carried out in UK, Norway, and the Netherlands. This was done to identify relevant themes and a set of statement that experts agreed upon using the Research and Development/University of California at Los Angeles (RAND/UCLA) methodology. RESULTS: A total of 72 scientific and clinical experts and 14 consumer experts reached consensus upon 150 statements covering five themes: (1) General prescription stipulations, (2) assessments prior to prescription, (3) care and treatment plan, (4) discontinuation, and (5) long-term treatment. CONCLUSIONS: In this practice guideline, novel information was provided about detailed indication and thresholds of symptoms, risk factors, circumstances at which APs should be stopped or tapered, specific criteria for justifying long-term treatment, involvement of the multidisciplinary team, and family caregiver in the process of prescription. The practice guideline is based on formal consensus of clinicians and consumer experts and provides clinicians relevant practical information that is lacking in current guidelines.
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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 | 0.005 | 0.009 |
| 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".