Evidence map›Paper›PMID 35184346›Full record

ArticleDrug and alcohol review2022

COVID-19 vaccine acceptability among people in Australia who inject drugs: Update from the 2021 Illicit Drug Reporting System interviews.

Olivia Price, Paul M Dietze, Lisa Maher, Sione Crawford, Amy Peacock

Abstract read
In one paragraph

Article in Drug and alcohol review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Olivia PriceNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, Australia.ORCID 0000-0002-2259-735X
Paul M DietzeNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, Australia.ORCID 0000-0001-7871-6234
Lisa MaherKirby Institute, UNSW Sydney, Sydney, Australia.
Sione CrawfordHarm Reduction Victoria, Melbourne, Australia.
Amy PeacockNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, Australia.ORCID 0000-0002-5705-2026

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People who inject drugs may be at higher risk of COVID-19 transmission and more severe negative health outcomes following COVID-19 infection. Early research on hypothetical COVID-19 vaccines suggests this population may be less likely to accept vaccination. This commentary extends this research by presenting vaccine intention data from Illicit Drug Reporting System interviews conducted in June-July 2021, in the early stages of vaccine rollout, with people in Australia who inject drugs (N = 888). Half the sample (48%, n = 419) reported that they were hesitant to receive the COVID-19 vaccine, with key barriers relating to vaccine safety and side effect concerns. This level of hesitancy is substantially higher than that of the general population at a similar time. While we note that the subsequent Delta variant-driven third wave of cases in Australia and efforts to increase population vaccination coverage may have altered intent in this group, this level of hesitancy warrants a targeted strategy to mitigate vaccine-related concerns and maximise uptake. Ideally, this should comprise an inclusive health response that is peer-led, with peer-based organisations ideally positioned to direct immunisation service delivery and provide vaccine-related messaging.

Indexed as

COVID-19Illicit DrugsAustraliaCOVID-19 VaccinesHumansPharmaceutical PreparationsSARS-CoV-2VaccinationCOVID-19 VaccinesIllicit DrugsPharmaceutical PreparationsCOVID-19people who inject drugsvaccination barriersvaccine hesitancy

Identifiers

PMID35184346
PMCPMC9111623

What OpenQuestion holds

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LicenceCC BY-NC
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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.