Evidence map›Paper›PMID 35525052›Full record

ArticleThe International journal on drug policy2022

Factors associated with 60-day adherence to "safer supply" opioids prescribed under British Columbia's interim clinical guidance for health care providers to support people who use drugs during COVID-19 and the ongoing overdose emergency.

Marion Selfridge, Kiffer Card, Taylor Kandler, Erin Flanagan, Emily Lerhe, Ash Heaslip, Anne Nguyen, Matthew Moher, Bernie Pauly, Karen Urbanoski and 1 more

Open access · greenAbstract read
In one paragraph

Article in The International journal on drug policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 32 citations in OpenAlex.

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  12. Safer opioid supply via a biometric dispensing machine: a qualitative study of barriers, facilitators and associated outcomes.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2023
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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

11 authors at 3 institutions in 1 country.

Marion SelfridgeCool Aid Community Health Centre, Victoria, BC, Canada; Canadian Institute for Substance Use Research, University of Victoria, Victoria, BC, Canada. Electronic address: marions@uvic.ca.
Kiffer CardCanadian Institute for Substance Use Research, University of Victoria, Victoria, BC, Canada; Simon Fraser University, Faculty of Health Sciences, Canada.
Taylor KandlerUniversity of British Columbia, Faculty of Medicine, Canada.
Erin FlanaganUniversity of British Columbia, Faculty of Medicine, Canada.
Emily LerheUniversity of British Columbia, Faculty of Medicine, Canada.
Ash HeaslipCool Aid Community Health Centre, Victoria, BC, Canada; University of British Columbia, Faculty of Medicine, Canada.
Anne NguyenCool Aid Community Health Centre, Victoria, BC, Canada; University of British Columbia, Faculty of Medicine, Canada; University of Victoria, Faculty of Medicine, Canada.
Matthew MoherCool Aid Community Health Centre, Victoria, BC, Canada; University of British Columbia, Faculty of Medicine, Canada; University of Victoria, Faculty of Medicine, Canada.
Bernie PaulyCanadian Institute for Substance Use Research, University of Victoria, Victoria, BC, Canada; University of Victoria, School of Nursing, Canada.
Karen UrbanoskiCanadian Institute for Substance Use Research, University of Victoria, Victoria, BC, Canada; University of Victoria, School of Public Health and Social Policy, Canada.
Chris FraserCool Aid Community Health Centre, Victoria, BC, Canada; University of British Columbia, Faculty of Medicine, Canada.
University of Victoria · CAUniversity of British Columbia · CASimon Fraser University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsIn March 2020, British Columbia issued Risk Mitigation Guidance (RMG) to support prescribing of pharmaceutical alternatives to illicit drugs, in order to reduce risk for COVID-19, overdose, and withdrawal among people who use drugs. This study evaluated factors associated with 60-day adherence to novel opioid alternatives prescribed at an inner-city health centre in Victoria, Canada.

methodsA chart review was conducted to collect data on sociodemographic information, medical histories, and follow-up services among all clients prescribed novel opioid alternatives from March 2020-August 2020 (n = 286). Bivariable and multivariable regression were used to identify independent and adjusted factors associated with 60-day adherence.

resultsOverall, 77% of 286 clients were still receiving opioids after 60 days of follow-up. Medications included hydromorphone (n = 274), sustained-release oral morphine (n = 2), and oxycodone (n = 9). The adjusted odds of 60-day adherence to novel opioid alternatives were significantly higher for those receiving a mental health medication (aOR = 3.49, 95%CI = 1.26, 11.00), a higher maximum daily dosage of RMG prescriptions (aOR = 1.03 per mg increase, 95%CI = 1.01, 1.04), and those with continuous receipt of OAT (aOR = 6.25, 95%CI = 2.67, 15.90).

conclusionsHigher dosages and co-prescription of mental health medications and OAT may help support better adherence to this form of prescriber-based "safer supply". Further work is needed to identify optimal prescribing practices and the longer term impacts of differing implementation scenarios.

Indexed as

COVID-19Drug OverdoseAnalgesics, OpioidBritish ColumbiaHealth PersonnelHumansAnalgesics, OpioidCOVID-19Opioid agonist therapyPeople who use drugsRisk mitigationSafe supply

Identifiers

PMID35525052
PMCPMC9065674
OpenAlexW4225390932

What OpenQuestion holds

Textmetadata
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.