Frailty and Potentially Inappropriate Medication Use at Nursing Home Transition
Bibliographic record
Abstract
Background/Objectives To estimate the prevalence of potentially inappropriate medication ( PIM ) use among older adults with cognitive impairment or dementia prior to and following admission to nursing homes and in relation to frailty. Design Retrospective cohort study using health administrative databases. Setting Ontario, Canada. Participants 41,351 individuals with cognitive impairment or dementia, aged 66+ years newly admitted to nursing home between 2011 and 2014. Measurements PIM s were defined with 2015 Beers Criteria and included antipsychotics, H 2 ‐receptor antagonists, benzodiazepines, and drugs with strong anticholinergic properties. Medication information was obtained at nursing home admission and in the subsequent 180 days. Multivariable Cox proportional‐hazards models were used to assess the impact of frailty status (determined by a 72‐item frailty index) on the hazard of starting and discontinuing PIM s. Results At admission, 44% of residents with cognitive impairment or dementia were on a PIM and prevalence varied by frailty (38.7% non‐frail, 42.8% pre‐frail, and 48.1% frail, P < .001). Following admission, many residents discontinued PIM s (23.5% for antipsychotics, 49.3% benzodiazepines, 32.2% anticholinergics, and 30.9% H 2 ‐receptor antagonists). However, PIM s were also introduced with 10.9% newly started on antipsychotics, benzodiazepines (10.1%), anticholinergics (6.6%), and H 2 ‐receptor antagonists (1.2%). After adjustment for other characteristics, frail residents had a similar risk of PIM discontinuation as non‐frail residents except for anticholinergics ( HR = 1.21, 95% CI 1.06–1.39) but were more likely to be newly prescribed benzodiazepines ( HR = 1.32, 95% CI 1.20–1.44), antipsychotics ( HR = 1.36, 1.23–1.49), and anticholinergics ( HR = 1.34, 95% CI 1.20–1.50). Conclusion Many residents with cognitive impairment or dementia enter nursing homes on PIM s. PIM s are more likely to be started in frail individuals following admission. Interventions to support deprescribing of PIM s should be implemented targeting frail individuals during the transition to nursing home.
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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 | 0.001 | 0.000 |
| 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".