Evidence map›Paper›PMID 40730971›Full record

ArticleBMC public health2025

Characterizing influenza vaccine coverage and factors associated with missed vaccination among adults from 2018 to 2021: an analysis of the Canadian Longitudinal Study on Aging (CLSA) follow-up 2.

Katie Gravagna, Christina Wolfson, Angelina Sassi, Nicole E Basta

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Katie GravagnaDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. kgrava@unc.edu.
Christina WolfsonDepartment of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, QC, Canada.
Angelina SassiDepartment of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, QC, Canada.
Nicole E BastaDepartment of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, QC, Canada.

Funding

CIHR Research Chair in Infectious Disease Prevention Tier 2
6 · The paper itself

Abstract

backgroundInfluenza vaccination remains one of the best tools available to prevent severe disease in individuals at high risk of influenza complications. Yet, influenza vaccination among older adults and those at high risk of severe outcomes has remained low in Canada and other countries even when the vaccine is routinely recommended. Assessing the prevalence of influenza vaccination coverage over time and factors associated with missed vaccination can provide evidence to inform efforts to improve coverage. Among adults aged ≥ 65 years and adults aged 49-64 years with one or more chronic medical condition (CMC), we aimed to (1) estimate the prevalence of missed influenza vaccination and (2) evaluate factors associated with missed vaccination using recent data from a large national survey of Canadian adults.

methodsWe analyzed data collected by the Canadian Longitudinal Study on Aging during follow-up 2 from 2018 to 2021. Participants were asked to self-report whether they received an influenza vaccine in the year prior to completing the survey. We estimated the prevalence of missed vaccination overall and by participant characteristics. We assessed factors associated with missed vaccination using logistic regression and report adjusted odds ratios among adults aged ≥ 65 years and adults aged 49-64 years with ≥ 1 CMC.

resultsAmong the 18,894 participants surveyed, 27.0% (95% CI: 26.1, 27.8%) of those aged 65 years and older and 45.2% (95% CI: 43.7, 46.8%) of those aged 49-64 years with ≥ 1 CMC reported not receiving influenza vaccination within the prior year. For both groups, reporting receiving influenza vaccination in the previous CLSA wave of data collection (2015-2017) and contact with a family doctor within the prior year were strongly associated with lower odds of missed influenza vaccination.

conclusionsOur analysis suggests that a large proportion of eligible Canadian adults at higher risk of severe complications due to influenza are not receiving a seasonal influenza vaccine, despite recommendations. These estimates and this detailed analysis provide important insights into trends in influenza vaccination coverage among older adults and can serve as a baseline assessment for tracking changes in influenza vaccination coverage over time and in the years following the SARS-CoV-2 pandemic.

Indexed as

Influenza, HumanInfluenza VaccinesVaccinationVaccination CoverageAgedCanadaFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedInfluenza VaccinesAdultsCLSAInfluenzaVaccination

Identifiers

PMID40730971
PMCPMC12306125

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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.