Evidence map›Paper›PMID 36178943›Full record

ArticlePloS one2022

Influenza vaccine coverage and factors associated with non-vaccination among adults at high risk for severe outcomes: An analysis of the Canadian Longitudinal Study on Aging.

Katie Gravagna, Christina Wolfson, Giorgia Sulis, Sarah A Buchan, Shelly McNeil, Melissa K Andrew, Jacqueline McMillan, Susan Kirkland, Nicole E Basta

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 5 institutions in 1 country.

Katie GravagnaDepartment of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, QC, Canada.ORCID 0000-0001-5910-9498
Christina WolfsonDepartment of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, QC, Canada.
Giorgia SulisDepartment of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, QC, Canada.
Sarah A BuchanHealth Protection, Public Health Ontario, Toronto, ON, Canada.
Shelly McNeilDivision of Infectious Diseases, Department of Medicine, Dalhousie University, Halifax, NS, Canada.
Melissa K AndrewDivision of Geriatrics, Department of Medicine, Dalhousie University, Halifax, NS, Canada.
Jacqueline McMillanDivision of Geriatric Medicine, Departments of Medicine and Community Health Sciences, University of Calgary, Calgary, AB, Canada.
Susan KirklandDivision of Geriatric Medicine, Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada.
Nicole E BastaDepartment of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, QC, Canada.ORCID 0000-0002-4951-6353
Dalhousie University · CAMcGill University · CAMontreal General Hospital · CAUniversity of Calgary · CAUniversity of Toronto · CA

Funding

Quantifying the Breadth and Duration of Immunity Induced by Meningococcal B VaccinesR01AI132496 · NIAID · UNIVERSITY OF MINNESOTA · PI BASTA, NICOLE ELAINE · 2018 to 2023
$3.1M
NIAID NIH HHS R01 AI132496
6 · The paper itself

Abstract

backgroundInfluenza vaccination is recommended in Canada for older adults and those with underlying health conditions due to their increased risk of severe outcomes. Further research is needed to identify who within these groups is not receiving influenza vaccine to identify opportunities to increase coverage.

objectivesWe aimed to 1) estimate influenza non-vaccination prevalence and 2) assess factors associated with non-vaccination among Canadian adults aged ≥65 and adults aged 46-64 with ≥1 chronic medical condition (CMC) due to their high risk of severe influenza outcomes.

methodsWe conducted a secondary analysis of cross-sectional data collected from 2015-2018 among participants of the Canadian Longitudinal Study on Aging. For both groups of interest, we estimated non-vaccination prevalence and used logistic regression models to identify factors associated with non-vaccination. We report adjusted odds ratios and 95% confidence intervals for the investigated variables.

resultsOverall, 29.5% (95% CI: 28.9%, 30.1%) of the 23,226 participants aged ≥65 years and 50.4% (95% CI: 49.4%, 51.3%) of the 11,250 participants aged 46-64 years with ≥1 CMC reported not receiving an influenza vaccination in the past 12 months. For both groups, lack of recent contact with a family doctor and current smoking were independently associated with non-vaccination. DISCUSSION: Influenza vaccination helps prevent severe influenza outcomes. Yet, half of adults aged 46-64 years with ≥1 CMC and more than one-quarter of all adults aged ≥65 years did not receive a recommended influenza vaccine in the year prior to the survey. Innovation in vaccination campaigns for routinely recommended vaccines, especially among those without annual family doctor visits, may improve coverage.

conclusionInfluenza vaccination coverage among Canadian adults aged 46-64 years with ≥1 CMC and adults aged ≥65 years remains suboptimal. Vaccination campaigns targeting those at high risk of severe outcomes without routine physician engagement should be evaluated to improve uptake.

Indexed as

Influenza, HumanInfluenza VaccinesAgedAgingCanadaChronic DiseaseCross-Sectional StudiesHumansLongitudinal StudiesInfluenza Vaccines

Identifiers

PMID36178943
PMCPMC9524702
OpenAlexW4298089136

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.