Evidence map›Paper›PMID 36146592›Full record

ArticleVaccines2022

High Frequency of COVID-19 Vaccine Hesitancy among Canadians Immunized for Influenza: A Cross-Sectional Survey.

Valeria Valerio, Emmanouil Rampakakis, Theodoros P Zanos, Todd J Levy, Hao Cheng Shen, Emily G McDonald, Charles Frenette, Sasha Bernatsky, Marie Hudson, Brian J Ward and 1 more

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Large language models for bioinformatics.Quantitative biology (Beijing, China) · 2026
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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 5 institutions in 2 countries.

Valeria ValerioThe Research Institute of the McGill University Health Centre (MUHC), Montreal, QC H4A 3J1, Canada.
Emmanouil RampakakisDepartment of Pediatrics, McGill University, Montreal, QC H4A 3J1, Canada.
Theodoros P ZanosInstitute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA.ORCID 0000-0002-9204-9551
Todd J LevyInstitute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA.ORCID 0000-0003-0440-7791
Hao Cheng ShenDivision of General Internal Medicine, Department of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada.
Emily G McDonaldDivision of General Internal Medicine, Department of Medicine, The Research Institute of the McGill University Health Centre (MUHC), Montreal, QC H4A 3J1, Canada.
Charles FrenetteThe Research Institute of the McGill University Health Centre (MUHC), Montreal, QC H4A 3J1, Canada.
Sasha BernatskyThe Research Institute of the McGill University Health Centre (MUHC), Montreal, QC H4A 3J1, Canada.
Marie HudsonDivision of Rheumatology, Department of Medicine, Jewish General Hospital, Montreal, QC H3T 1E2, Canada.
Brian J WardThe Research Institute of the McGill University Health Centre (MUHC), Montreal, QC H4A 3J1, Canada.ORCID 0000-0003-3251-958X
Inés ColmegnaThe Research Institute of the McGill University Health Centre (MUHC), Montreal, QC H4A 3J1, Canada.
McGill University Health Centre · CANorthwell Health · USJewish General Hospital · CAMcGill University · CAUniversité de Montréal · CA

Funding

McGill Interdisciplinary Initiative in Infection and Immunity (MI4) and the McGill University Health Centre Foundation (Preparing Adults for COVID-19 Vaccine PROVIDE -A) N/A
6 · The paper itself

Abstract

We assessed the frequency and correlates of COVID-19 vaccine hesitancy before Canada's vaccine rollout. A cross-sectional vaccine hesitancy survey was completed by consecutive patients/family members/staff who received the influenza vaccine at McGill University affiliated hospitals. Based on the self-reported likelihood of receiving a future vaccine (scale 0-10), the following three groups were defined: non-hesitant (score 10), mildly hesitant (7.1-9.9), and significantly hesitant (0-7). Factors associated with vaccine hesitancy were assessed with multivariate logistic regression analyses and binomial logistic regression machine learning modelling. The survey was completed by 1793 people. Thirty-seven percent of participants (n = 669) were hesitant (mildly: 315 (17.6%); significantly: 354 (19.7%)). Lower education levels, opposition and uncertainty about vaccines being mandatory, feelings of not receiving enough information about COVID-19 prevention, perceived social pressure to get a future vaccine, vaccine safety concerns, uncertainty regarding the vaccine risk-benefit ratio, and distrust towards pharmaceutical companies were factors associated with vaccine hesitancy. Vaccine safety concerns and opposition to mandatory vaccinations were the strongest correlates of vaccine hesitancy in both the logistic regressions and the machine learning model. In conclusion, in this study, over a third of people immunized for influenza before the COVID-19 vaccine rollout expressed some degree of vaccine hesitancy. Effectively addressing COVID-19 vaccine safety concerns may enhance vaccine uptake.

Indexed as

COVID-19 infectionimmunizationvaccinationvaccine hesitancyvaccines

Identifiers

PMID36146592
PMCPMC9506006
OpenAlexW4296280285

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.