The impact of in hospital patient-education intervention on older people’s attitudes and intention to have their benzodiazepines deprescribed: a feasibility study
Bibliographic record
Abstract
Background: Long-term benzodiazepine use in the older population is common and is associated with significant harm. The provision of a patient-educational booklet during hospitalization may encourage patients to discuss review and possible deprescribing of benzodiazepine therapy with their health professionals. The aim of this study was to assess the feasibility and effect of a patient empowerment intervention in hospital inpatients on patient initiation of a discussion about deprescribing benzodiazepines versus usual care. Methods: A feasibility interventional study using a patient-empowerment education intervention was conducted at a Sydney teaching hospital. Patients aged ⩾ 65 years, prescribed a benzodiazepine, and able to provide consent were invited to participate in the study. Participants were randomly allocated to intervention or control group (1:1). Intervention participants received the patient-empowerment booklet and control received usual care. All participants received 1-month follow-up phone interviews to assess medication and attitudinal changes. Results: A total of 42 participants were recruited (20 intervention and 22 control). The average age was 71.5 (interquartile range: 69.0–80.3) and 54.8% were females. There was no difference in baseline characteristics between intervention and control groups ( p > 0.05). At baseline, 65.0% of participants (53.0% intervention, 86.0% control) were not concerned about the potential benzodiazepine side effects. Twenty-nine participants (15 intervention and 14 control) completed 1-month follow up; 22 participants (11 intervention and 11 control) were discharged on the benzodiazepine. Among these, 13 (59.1%) had ceased benzodiazepine at 1-month follow up [46.2% ( n = 6) intervention; 53.8% ( n = 7) control]. In the intervention group, 33.3% ( n = 5) of participants had initiated a discussion with their doctor or pharmacist about stopping the benzodiazepine compared with 35.7% ( n = 5) in the control group. Conclusion: Cessation of benzodiazepines 1 month following discharge was common. Future larger studies are required to confirm the effectiveness of providing a patient-empowerment booklet on reducing benzodiazepine use and other potentially inappropriate medications.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".