Evidence map›Paper›PMID 37172439›Full record

ArticleThe International journal on drug policy2023

Public transport access to drug treatment before and during COVID-19: Implications for the opioid epidemic.

Shiv Gazi Yücel, Christopher D Higgins, Kumar Gupta, Matthew Palm

Abstract read
In one paragraph

Article in The International journal on drug policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Shiv Gazi YücelTransport Studies Unit, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom. Electronic address: shiv.yucel@ouce.ox.ac.uk.
Christopher D HigginsUniversity of Toronto Scarborough.
Kumar GuptaOffice of the Chief Coroner of Ontario, Canada.
Matthew PalmUniversity of Toronto Scarborough.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public transport disruptions caused by the COVID-19 pandemic had wide-ranging impacts on the ability of individuals to access health care. Individuals with opioid use disorder represent an especially vulnerable population due to the necessity of frequent, supervised doses of opioid agonists. Focused on Toronto, a major Canadian city suffering from the opioid epidemic, this analysis uses novel realistic routing methodologies to quantify how travel times to individuals\220 nearest clinics changed due to public transport disruptions from 2019 to 2020. Individuals seeking opioid agonist treatment face very constrained windows of access due to the need to manage work and other essential activities. We find that thousands of households in the most materially and socially deprived neighbourhoods crossed 30 and 20-minute travel time thresholds to their nearest clinic. As even small changes to travel times can lead to missed appointments and heighten the chances of overdose and death, understanding the distribution of those most impacted can help inform future policy measures to ensure adequate access to care.

Indexed as

COVID-19Drug OverdoseOpioid-Related DisordersAnalgesics, OpioidCanadaCOVID-19 Drug TreatmentHumansOpioid EpidemicPandemicsAnalgesics, OpioidHealthcare accessibilityOpioid epidemicPublic transport disruptionsSocio-spatial analysis

Identifiers

PMID37172439
PMCPMC10130333

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.