The dispensing of psychotropic medicines to older people before and after they enter residential aged care
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To examine the prevalence of psychotropic medicine dispensing before and after older people enter residential care. DESIGN: Retrospective national cohort study; analysis of Registry of Senior Australians (ROSA) data. SETTING, PARTICIPANTS: All concession card-holding residents of government-subsidised residential aged care facilities in Australia who entered residential care for at least three months between 1 April 2008 and 30 June 2015. MAIN OUTCOME MEASURES: Proportions of residents dispensed antipsychotic, benzodiazepine, or antidepressant medicines during the year preceding and the year after commencing residential care, by quarter. RESULTS: Of 322 120 included aged care residents, 68 483 received at least one antipsychotic (21.3%; 95% CI, 21.1-21.4%), 98 315 at least one benzodiazepine (30.5%; 95% CI, 30.4-30.7%), and 122 224 residents at least one antidepressant (37.9%; 95% CI, 37.8-38.1%) during their first three months of residential care; 31 326 of those dispensed antipsychotics (45.7%), 38 529 of those dispensed benzodiazepines (39.2%), and 25 259 residents dispensed antidepressants (19.8%) had not received them in the year preceding their entry into care. During the first three months of residential care, the prevalence of antipsychotic (prevalence ratio [PR], 3.37; 95% CI, 3.31-3.43) and antidepressant dispensing (PR, 1.05; 95% CI, 1.04-1.07) were each higher for residents with than for those without dementia; benzodiazepine dispensing was similar for both groups (PR, 1.01; 95% CI, 0.99-1.02). CONCLUSIONS: Dispensing of psychotropic medicines to older Australians is high before they enter residential care but increases markedly soon after entry into care. Non-pharmacological behavioural management strategies are important for limiting the prescribing of psychotropic medicines for older people in the community or in residential care.
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.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it