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Record W2969564294 · doi:10.1136/bmjoq-2018-000539

Deprescribing benzodiazepines among hospitalised older adults: quality improvement initiative

2019· article· en· W2969564294 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMJ Open Quality · 2019
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsGlenrose Rehabilitation HospitalUniversity of AlbertaUniversity of Alberta HospitalAlberta Hospital Edmonton
FundersUniversity of AlbertaGlenrose Rehabilitation Hospital
KeywordsDeprescribingMedicineBenzodiazepinePolypharmacyIntervention (counseling)PharmacistBeers CriteriaGeriatricsAnxietyEmergency medicineIntensive care medicinePsychiatryPharmacyFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

Benzodiazepines are recognised as being potentially inappropriate medications for seniors due to their considerable side-effect profile, yet they are commonly prescribed and infrequently discontinued (deprescribed). The study's primary objective was the deprescription or the dose reduction of benzodiazepines among newly hospitalised seniors using a patient education intervention. A 3-month duration quality improvement study based on the plan-do-study-act model was conducted across two units (3C and 4D) in the Glenrose Rehabilitation Hospital to improve benzodiazepine deprescribing among newly admitted seniors (65 years or older) who were using benzodiazepines. The primary outcome measure was the number of eligible patients who had benzodiazepine deprescribing initiated. A patient education intervention comprising a structured medication review, written patient education (the Eliminating Medications Through Patient Ownership of End Results (EMPOWER) brochure) and at least one brief supportive counselling session by the clinical pharmacist or physician was applied to all eligible patients. All 12 eligible patients consented to benzodiazepine deprescribing; however, only 11 of them (92%) initiated benzodiazepine deprescribing. Six of the 11 patients (55%) had their benzodiazepines discontinued, with the 5 remaining patients (45%) achieving greater than 50% dosage reduction. Seven patients (64%) experienced side effects during the deprescribing process, with over half (57%, n=4) of these seven patients experiencing worsening anxiety symptoms. Five of the 11 patients (45%) required benzodiazepine substitute medications. The use of a structured patient education intervention involving the use of a structured medication review, written patient education material and one-on-one patient counselling can promote benzodiazepine deprescribing. Although worsening anxiety was frequently observed, this was easily managed by the substitution of a more appropriate and clinically indicated medication, which was well tolerated and acceptable by all of our participants. Targeted screening for the presence of anxiety would help to guide the deprescribing process and the need for medication substitution.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.234
GPT teacher head0.504
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it