Evidence map›Paper›PMID 42640914›Full record

ArticlePloS one2026

Factors associated with influenza vaccine uptake among healthcare workers in Georgia, 2021-2024.

Oksana Artemchuk, Giorgi Chakhunashvili, Iris Finci, Madelyn Rojas, Esther Kissling, Khatuna Zakhashvili, Mark A Katz, Lia Sanodze

Abstract read
In one paragraph

Article in PloS one, 2026. 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

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Oksana ArtemchukWorld Health Organization Regional Office for Europe, Copenhagen, Denmark.ORCID https://orcid.org/0000-0003-1261-1231
Giorgi ChakhunashviliNational Center for Disease Control and Public Health, Tbilisi, Georgia.ORCID https://orcid.org/0009-0004-4083-7160
Iris FinciWorld Health Organization Regional Office for Europe, Copenhagen, Denmark.
Madelyn RojasEpiconcept, Paris, France.ORCID https://orcid.org/0000-0001-7006-7946
Esther KisslingEpiconcept, Paris, France.ORCID https://orcid.org/0000-0001-7188-8404
Khatuna ZakhashviliNational Center for Disease Control and Public Health, Tbilisi, Georgia.
Mark A KatzWorld Health Organization Regional Office for Europe, Copenhagen, Denmark.
Lia SanodzeNational Center for Disease Control and Public Health, Tbilisi, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare workers (HCWs) are prioritised to receive influenza vaccine annually in Georgia. We aimed to identify factors associated with influenza vaccine uptake among Georgian HCWs.

methodsWe used self-reported influenza vaccination data for three influenza seasons (2021-2024) and 2023 survey data on attitudes towards influenza from a prospective cohort of HCWs in six hospitals in Georgia. HCWs who received influenza vaccine in at least one season were compared with those who were not vaccinated in any season. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were calculated using multivariable logistic regression to identify factors associated with vaccination uptake.

findingsOf 403 participants, the median age was 46 (IQR 36-54), 364 (90%) were female, 168 (42%) were nurses or midwives, 85 (21%) were support staff, 75 (19%) were doctors, and 75 (19%) were other staff. Overall, 289 (72%) received influenza vaccine in at least one season, while 114 (28%) did not receive it in any season. Multivariable analysis showed no differences in vaccine uptake by sex or occupation. HCWs ≥ 30 years were more likely to be vaccinated, with those aged 40-49 having the highest odds (aOR 2.67, 95% CI 1.09-6.59). HCWs who did not believe the vaccine was safe (aOR 0.27, 95% CI 0.11-0.68), those who doubted its effectiveness (aOR 0.36, 95% CI 0.14-0.89), and HCWs at Hospital B (aOR 0.06, 95% CI 0.02-0.23) were less likely to be vaccinated.

conclusionsGeorgian HCWs who questioned influenza vaccine safety and effectiveness, and those at one hospital, had lower odds of vaccination over three years, whereas older HCWs were more likely to be vaccinated. Future campaigns to promote influenza vaccination among HCWs should address safety and effectiveness concerns and target demographic disparities.

Indexed as

Health PersonnelInfluenza, HumanInfluenza VaccinesVaccinationAdultFemaleGeorgia (Republic)HumansMaleMiddle AgedProspective StudiesInfluenza Vaccines

Identifiers

PMID42640914
PMCPMC13505950

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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.