Antipsychotic Use With and Without Comorbid Psychiatric Diagnosis Among Adults with Intellectual and Developmental Disabilities
Bibliographic record
Abstract
OBJECTIVE: Antipsychotic use is controversial in the management of adults with intellectual and developmental disabilities (IDD) because of inconclusive evidence for efficacy in the absence of a comorbid psychiatric condition, and substantial concerns about adverse effects. We aimed to characterize antipsychotic use among Ontario adults with IDD and compare profiles of those with and without a documented psychiatric diagnosis. METHOD: This population-based study included 51,881 adults with IDD under 65 y as of April 2010 receiving provincial drug benefits in Ontario who were followed until March 2016 to identify those dispensed at least one antipsychotic medication. Profiles of those with and without a psychiatric diagnosis were compared. RESULTS: Overall, 39.2% of adults ( n = 20,316) were dispensed an antipsychotic medication, which increased to 56.4% in a subcohort residing in group homes. Almost one-third (28.91%) of people prescribed an antipsychotic medication did not have a documented psychiatric diagnosis. Those without a psychiatric diagnosis differed considerably from those with a diagnosis. In particular, those without a psychiatric diagnosis were older, less likely to have used antidepressants or benzodiazepines in the year before, and less likely to have used ambulatory and acute care. CONCLUSIONS: Antipsychotic use in IDD is common, and occurs frequently without a psychiatric diagnosis. Attention toward how antipsychotics are prescribed and monitored for people with IDD in Canada is warranted to ensure appropriate prescribing.
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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 | 0.000 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".