Deprescribing Benzodiazepine Receptor Agonists in Older Adults and People With Cognitive Impairment: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: Benzodiazepine receptor agonists (BZRAs) (benzodiazepines and z-drugs) may provide limited benefits in the management of insomnia when used short-term. However, they increase the risk of harms including falls, fractures, hospitalizations, and cognitive impairment. Deprescribing (cessation) of BZRAs may be beneficial for older adults and people living with cognitive impairment as they are at heightened risk of adverse events. This review investigated the effects of patient-directed, non-pharmacological interventions to support deprescribing of BZRAs used for insomnia in older adults and people living with cognitive impairment. METHODS: Embase, CENTRAL, Scopus, and Medline were searched in January 2024 with no publication date restrictions. Screening, data extraction, and risk of bias assessments (ROB2 for randomized studies, ROBINS-I for non-randomized studies) were conducted independently by two authors. Outcomes of interest included the proportion of participants who ceased BZRAs, reduction in BZRAs, switching to another medication, sleep outcomes, and clinical outcomes. Studies were included if they investigated BZRA deprescribing in older adults (≥ 65 years) or people living with cognitive impairment. RESULTS: Seventeen reports analyzing 16 studies in hospital, community, and aged care settings were included. BZRA cessation rates ranged between 23% to 72% for written education (n = 6); 14% to 57% for combined written and verbal education (n = 5); and 9% to 100% for multi-component interventions (n = 6). One report investigated a BZRA deprescribing educational intervention in people with cognitive impairment and found comparable effectiveness to participants without cognitive impairment. Most studies were at a high risk of bias. CONCLUSIONS: Patient-directed interventions led to BZRA cessation, although there was significant variability between studies. It is unknown if all interventions examined are similarly effective for people living with cognitive impairment. Further research investigating approaches to deprescribing BZRAs in older adults or people with cognitive impairment is required.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".