Evidence map›Paper›PMID 31494618›Full record

ArticleBMJ open2019

Characterisation of concurrent use of prescription opioids and benzodiazepine/Z-drugs in Alberta, Canada: a population-based study.

Vishal Sharma, Daniala Weir, Salim Samanani, Scot H Simpson, Fizza Gilani, Ed Jess, Dean T Eurich

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Inappropriate use of clinical practices in Canada: a systematic review.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2022
    Pooled it
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  8. A method for generating synthetic longitudinal health data.BMC medical research methodology · 2023
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  13. 'Z-trip'? A Comprehensive Overview and a Case-series of Zolpidem Misuse.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021
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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

7 authors at 3 institutions in 1 country.

Vishal SharmaSchool of Public Health, University of Alberta, Edmonton, Alberta, Canada.
Daniala WeirMcGill Clinical and Health Informatics, Montreal, Quebec, Canada.
Salim SamananiOkaki Health Intelligence, Calgary, Alberta, Canada.
Scot H SimpsonPharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada.
Fizza GilaniThe College of Physicians & Surgeons of Alberta, Edmonton, Alberta, Canada.
Ed JessThe College of Physicians & Surgeons of Alberta, Edmonton, Alberta, Canada.
Dean T EurichSchool of Public Health, University of Alberta, Edmonton, Alberta, Canada deurich@ualberta.ca.
University of Alberta · CACollege of Physicians and Surgeons of Ontario · CAMcGill University Health Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study is to characterise concurrent use of benzodiazepine receptor modulators and opioids among prescription opioid users in Alberta in 2017.

designA population based retrospective study.

settingAlberta, Canada, in the year 2017.

participantsAll individuals in Alberta, Canada, with at least one dispensation record from a community pharmacy for an opioid in the year 2017. EXPOSURE: Concurrent use of a benzodiazepine receptor modulator and opioid, defined as overlap of supply for both drugs for at least 1 day.

main outcome measuresPrevalence of concurrency was estimated among subgroups of patient characteristics that were considered clinically relevant or associated with inappropriate medication use.

resultsAmong the 547 709 Albertans who were dispensed opioid prescriptions in 2017, 132 156 (24%) also received prescriptions for benzodiazepine receptor modulators. There were 96 581 (17.6%) prescription opioid users who concurrently used benzodiazepine receptor modulators with an average of 98 days (SD=114, 95% CI 97 to 99) of total cumulative concurrency and a median of 37 days (IQR 10 to 171). The average longest duration of consecutive days of concurrency was 45 (SD=60, 95% CI 44.6 to 45.4) with a median of 24 days (IQR 8 to 59). Concurrency was more prevalent in females, patients using an average daily oral morphine equivalent >90 mg, opioid dependence therapy patients, chronic opioid users, patients utilising a high number of unique providers, lower median household incomes and those older than 65 (p value<0.001 for all comparisons).

conclusionsConcurrent prescribing of opioids and benzodiazepine receptor modulators is common in Alberta despite the ongoing guidance of many clinical resources. Older patients, those taking higher doses of opioids, and for longer durations may be at particular risk of adverse outcomes and may be worthy of closer follow-up for assessment for dose tapering or discontinuations. As well, those with higher healthcare utilisation (seeking multiple providers) should also be closely monitored. Continued surveillance of concurrent use of these medications is warranted to ensure that safe drug use recommendations are being followed by health providers.

Indexed as

AdolescentAdultAgedAged, 80 and overAlbertaAnalgesics, OpioidBenzodiazepinesChildChild, PreschoolDatabases, FactualDrug OverdoseFemaleHumansInfantInfant, NewbornMaleAnalgesics, OpioidBenzodiazepinesbenzodiazepinesconcurrent prescribingconcurrent useopioidsPUBLIC HEALTHZ-drugs

Identifiers

PMID31494618
PMCPMC6731882
OpenAlexW2972039620

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.