BE-SAFE: Intervention to reduce benzodiazepine and sedative hypnotics in elderly with sleep problems
Bibliographic record
Abstract
Abstract Introduction Benzodiazepine and sedative hypnotics (BSH) may have significant adverse effects and associated costs, especially in older adults: increased risk of falls, fractures, hospitalisations, impaired functioning, delirium, cognitive impairment and mortality. Addressing BSH overuse is therefore an urgent priority to improve patient safety in Europe. Objectives To present the 5-year research project BE-SAFE, funded by the European Commission (HORIZON Europe) and by the Swiss State Secretariat for Education, Research, and Innovation. BE-SAFE aims to improve patient safety by addressing knowledge and practice gaps related to the reduction of BSH used by older adults for sleep problems. Methods BE-SAFE involves seven inter-related work packages and six European countries (Belgium, Greece, Norway, Poland, Spain and Switzerland) as well as experts from Canada; it proposes an interdisciplinary and inter-sectorial approach with experts in guidelines, implementation, dissemination, case studies, geriatrics and sleep. BE-SAFE will develop an intervention comprising trustworthy clinical guidelines, implementation recommendations and patient-centred material. This intervention will be tested in a cluster randomized controlled trial; 470 patients (65 years old and above) and 62 prescribing physicians in hospital and outpatient settings. Results BE-SAFE is expected to result in reduction of BSH use. Its toolkit, encompassing setting-specific implementation recommendations, will enable healthcare professionals (HCPs) to identify, evaluate and prevent risks of BSH use. The BE-SAFE approach could also be expanded to cover reduction of use of other medications. Conclusions Through BE-SAFE, patient safety is expected to improve; BE-SAFE project will reach a wide-ranging audience, including general population, informal carers, older adults, HCPs, healthcare system leaders and decision makers. Authors acknowledge the significant input of J. Grimshaw and W. Levinson, Canada. Key messages • Deprescription of benzodiazepine and sedative hypnotics, especially in older adults, is a priority due to their side effects, particularly in this age group. • The European project BE-SAFE aspires to create easy-to-use guidelines to this aim, improving thus patient safety and healthcare.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".