Evidence map›Paper›PMID 35766912›Full record

ArticleHealth promotion and chronic disease prevention in Canada : research, policy and practice2022

Stepping up to the Canadian opioid crisis: a longitudinal analysis of the correlation between socioeconomic status and population rates of opioid-related mortality, hospitalization and emergency department visits (2000-2017).

Mhd Wasem Alsabbagh, Martin Cooke, Susan J Elliott, Feng Chang, Noor-Ul-Huda Shah, Marco Ghobrial

Abstract read
In one paragraph

Article in Health promotion and chronic disease prevention in Canada : research, policy and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Socioeconomic inequities in drug poisoning deaths in Canada.Canadian journal of public health = Revue canadienne de sante publique · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

6 authors.

Mhd Wasem AlsabbaghUniversity of Waterloo, Faculty of Science, School of Pharmacy, Waterloo, Ontario, Canada.
Martin CookeUniversity of Waterloo, Faculty of Science, School of Pharmacy, Waterloo, Ontario, Canada.
Susan J ElliottUniversity of Waterloo, Faculty of Science, Geography and Environmental Studies, Waterloo, Ontario, Canada.
Feng ChangUniversity of Waterloo, Faculty of Science, School of Pharmacy, Waterloo, Ontario, Canada.
Noor-Ul-Huda ShahUniversity of Waterloo, Faculty of Science, School of Pharmacy, Waterloo, Ontario, Canada.
Marco GhobrialUniversity of Waterloo, Faculty of Science, School of Pharmacy, Waterloo, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHigh levels of income inequality and increased opioid-related harm across Canada bring into question the role of socioeconomic status (SES) in the opioid epidemic. Only a few studies have examined this association, and most of those have analyzed this issue on a provincial level. This study examined the association between opioid-related health outcomes and SES, and investigated rate ratios over time.

methodsAdministrative databases were used to identify opioid-related mortality, hospitalization and emergency department visits between 2000 and 2017. Patient's postal code was linked to the quintile of median household income at the forward sortation area level. Crude rates and age- and sex-adjusted rates in each quintile were calculated, as well as the adjusted rate ratio of average annual rates between the lowest and highest quintiles. The significance of the time trend of rate ratios for all outcomes was examined using linear regression.

resultsA stepped gradient of opioid-related outcomes across all income quintiles emerged from these data. For mortality, hospitalization and emergency department visits, the average annual rate ratio between lowest quintile and highest quintile was 3.8, 4.3 and 4.9, respectively. These ratios were generally stable and consistent over the study period, albeit the opioid-related mortality SES gap decreased gradually (p < 0.01).

conclusionArea income quintile was found to be highly associated with opioid outcomes. Psychosocial factors (stress, unemployment, housing insecurity) that are typically concentrated in low SES areas may play a significant role in the opioid epidemic. Health policies should address these factors in order to provide effective solutions.

Indexed as

Analgesics, OpioidOpioid EpidemicCanadaEmergency Service, HospitalHospitalizationHumansSocial ClassSocioeconomic FactorsAnalgesics, Opioidanalgesicsemergency servicehospitalhospitalizationincomemortalityopiate addictionopioidsocial classtime

Identifiers

PMID35766912
PMCPMC9388055

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.