Evidence map›Paper›PMID 37033155›Full record

ArticleCanadian journal of pain = Revue canadienne de la douleur2023

The Association between COVID-19 and Changes in Opioid Prescribing Patterns and Opioid-Related Overdoses: A Retrospective Cohort Study.

Alexandra Robins, Alan Dimitriev, Cameron MacKay, Hayden Wang, Abigail Kearney, Daniel P Borschneck, Amber Simpson

Abstract read
In one paragraph

Article in Canadian journal of pain = Revue canadienne de la douleur, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

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

1 citing paper in PubMed.

  1. Trends in prescription opioid use for pain in Canada: a population-based repeated cross-sectional study of 6 provinces.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Article
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.

Alexandra RobinsDepartment of Molecular and Biomedical Sciences, Queen's University, Kingston, Ontario, Canada.ORCID https://orcid.org/0000-0002-3543-9115
Alan DimitrievSchool of Computing, Queen's University, Kingston, Ontario, Canada.ORCID https://orcid.org/0000-0002-6671-8504
Cameron MacKaySchool of Computing, Queen's University, Kingston, Ontario, Canada.
Hayden WangSchool of Computing, Queen's University, Kingston, Ontario, Canada.
Abigail KearneyDepartment of Molecular and Biomedical Sciences, Queen's University, Kingston, Ontario, Canada.
Daniel P BorschneckDepartment of Surgery, Queen's University, Kingston, Ontario, Canada.
Amber SimpsonDepartment of Molecular and Biomedical Sciences, Queen's University, Kingston, Ontario, Canada.ORCID https://orcid.org/0000-0002-4387-8417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent data suggest that restrictions related to COVID-19 resulted in changes in the prescribing patterns of opioids. Aims: We sought to analyze Ontario health data for changes in frequencies among new and continuing users for the following opioid prescription characteristics: the type of opioid, the average daily dose, and the prescriber's specialty. Methods: Utilizing data on the Ontario Health Data Platform, we defined two 149-day windows as "before" and "after" based on the initial COVID-19 provincial lockdown. A total of 882,268 individuals met our inclusion criteria and were classified as either "new" or "continuing" users. Chi-square tests and Fisher's exact tests were applied for each level of our primary outcomes to determine whether there were significant changes in prescription proportions before and after the lockdown. Results: A decline of 28% was observed for the number of new users after the lockdown. Statistically significant changes were observed for new users across almost all opioid prescription characteristics between the before and after windows. The proportion of new users who received at least one dispensing event from a pharmacist increased by 26.32%, whereas continuing users increased by 378.61%. There were no statistically significant shifts in opioid prescriptions among individuals with a reported toxicity event during the study period. Conclusions: In terms of opioid prescribing patterns, new users experienced greater change following the onset of the pandemic lockdown than continuing users. Our findings potentially showcase the unintended impacts that COVID-19-related restrictions had on non-COVID-19-related health services, which can inform future policy decisions.

Indexed as

COVID-19Opioidsprescribing specialistprescriptions

Identifiers

PMID37033155
PMCPMC10081074

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.