Evidence map›Paper›PMID 23514019›Full record

Trial reportTrials2013

An educational intervention to reduce the use of potentially inappropriate medications among older adults (EMPOWER study): protocol for a cluster randomized trial.

Philippe Martin, Robyn Tamblyn, Sara Ahmed, Cara Tannenbaum

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01148186 (The Patient as a Driver of Change), which is not on this map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01148186 phase4terminatednot on this map

The Patient as a Driver of Change: an Intervention Study to Reduce the Use and Impact of Potentially Inappropriate Medications Among Older Adults

TypeinterventionalSponsorCentre de Recherche de l'Institut Universitaire de Geriatrie de MontrealRan2010 to 2013Enrolled300ConditionsPolypharmacy, Incontinence, Insomnia, AnxietyArmsknowledge transfer tool
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Engaging Patients in Discussions About Medication Deprescribing.Journal of general internal medicine · 2025
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  15. Supporting safe and gradual reduction of long-term benzodiazepine receptor agonist use: Development of the SAFEGUARDING-BZRAs toolkit using a codesign approach.Health expectations : an international journal of public participation in health care and health policy · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Philippe MartinFaculté de Pharmacie, InstitutUniversitaire de Gériatrie de Montréal, Université de Montréal, Montréal, QC, Canada.
Robyn Tamblyn
Sara Ahmed
Cara Tannenbaum

Funding

Canadian Institutes of Health Research 2000/03MOP-201314-KTE-CFCL-108262
6 · The paper itself

Abstract

backgroundCurrently, far too many older adults consume inappropriate prescriptions, which increase the risk of adverse drug reactions and unnecessary hospitalizations. A health education program directly informing patients of prescription risks may promote inappropriate prescription discontinuation in chronic benzodiazepine users. METHODS/

designThis is a cluster randomized controlled trial using a two-arm parallel-design. A total of 250 older chronic benzodiazepine users recruited from community pharmacies in the greater Montreal area will be studied with informed consent. A participating pharmacy with recruited participants represents a cluster, the unit of randomization. For every four pharmacies recruited, a simple 2:2 randomization is used to allocate clusters into intervention and control arms. Participants will be followed for 1 year. Within the intervention clusters, participants will receive a novel educational intervention detailing risks and safe alternatives to their current potentially inappropriate medication, while the control group will be wait-listed for the intervention for 6 months and receive usual care during that time period. The primary outcome is the rate of change in benzodiazepine use at 6 months. Secondary outcomes are changes in risk perception, self-efficacy for discontinuing benzodiazepines, and activation of patients initiating discussions with their physician or pharmacist about safer prescribing practices. An intention-to-treat analysis will be followed.The rate of change of benzodiazepine use will be compared between intervention and control groups at the individual level at the 6-month follow-up. Risk differences between the control and experimental groups will be calculated, and the robust variance estimator will be used to estimate the associated 95% confidence interval (CI). As a sensitivity analysis (and/or if any confounders are unbalanced between the groups), we will estimate the risk difference for the intervention via a marginal model estimated via generalized estimating equations with an exchangeable correlation structure. DISCUSSION: Targeting consumers directly as catalysts for engaging physicians and pharmacists in collaborative discontinuation of benzodiazepine drugs is a novel approach to reduce inappropriate prescriptions. By directly empowering chronic users with knowledge about risks, we hope to imitate the success of individually targeted anti-smoking campaigns.

trial registrationClinicalTrials.gov identifier: NCT01148186.

Indexed as

Health Knowledge, Attitudes, PracticePatient Education as TopicResearch DesignAge FactorsBenzodiazepinesCommunity Pharmacy ServicesDrug InteractionsHumansInappropriate PrescribingIntention to Treat AnalysisInterdisciplinary CommunicationPatient Care TeamPatient SafetyPhysician-Patient RelationsPolypharmacyQuebecBenzodiazepines

Identifiers

PMID23514019
PMCPMC3621099

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.