Evidence map›Paper›PMID 39611140›Full record

ArticleAJPM focus2025

Factors Associated With Influenza Vaccination in a National Veteran Cohort.

Alissa S Chen, Melissa M Farmer, Ling Han, Tessa Runels, Brett Bade, Kristina Crothers, Lori A Bastian, Isabel S Bazan, Bevanne A Bean-Mayberry, Cynthia A Brandt and 1 more

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alissa S ChenSection of General Medicine, Department of Medicine, Yale University School of Medicine, New Haven, Connecticut.
Melissa M FarmerCenter for Study of Healthcare Innovation, Implementation, and Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, California.
Ling HanPain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, Connecticut.
Tessa RunelsPain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, Connecticut.
Brett BadeDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York.
Kristina CrothersVA Puget Sound, Seattle, Washington.
Lori A BastianSection of General Medicine, Department of Medicine, Yale University School of Medicine, New Haven, Connecticut.
Isabel S BazanPulmonary, Critical Care, & Sleep Medicine, Yale University School of Medicine, New Haven, Connecticut.
Bevanne A Bean-MayberryCenter for Study of Healthcare Innovation, Implementation, and Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, California.
Cynthia A BrandtPain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, Connecticut.
Kathleen M AkgünPain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, Connecticut.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Introduction: Only 53% of American adults receive influenza vaccination, and disparities in vaccination exist among particular racial and ethnic groups. This study determines how race, ethnicity, sex, and rurality are associated with influenza vaccination adherence in a national Veteran Health Affairs Administration cohort. Methods: The authors examined differences in documented influenza vaccinations for the 2019-2020 influenza season among Veteran Health Affairs Administration patients in a retrospective cohort study using Veteran Health Affairs Administration administrative electronic health record data. The author used logistic regression to model receipt of influenza vaccination in association with race, ethnicity, sex, and rurality while controlling for clinical diagnoses, demographics, and ambulatory care utilization. The authors also stratified the models by sex and rurality. Results: Among 5,943,918 veterans, 48.6% received influenza vaccination. Unadjusted comparisons showed that those who were vaccinated were more likely to be White, to be of male sex, and to be older. Similar proportions of unvaccinated and unvaccinated veterans were from rural settings. In adjusted models, Black race was most strongly associated with decreased vaccination (AOR=0.69; 95% CI=0.69, 0.70), and American Indian/Alaskan Native race also had reduced odds of vaccination (AOR=0.94; 95% CI=0.92, 0.95) compared with White race. Female veterans had increased odds of vaccination (AOR=1.20; 95% CI=1.19, 1.20) compared with men. Rurality (AOR=0.97; 95% CI=0.96, 0.97) was associated with a small decreased odds of vaccination compared with urban. In stratified models, Black veterans were less likely to receive influenza vaccination regardless of sex and rurality than White veterans. American Indian/Alaska Native female veterans had equal odds of vaccination as White female veterans, whereas American Indian/Alaska Native male veterans had reduced odds of vaccination compared with White male veterans. Conclusions: During the 2019-2020 influenza season, Black and American Indian/Alaskan Native veterans had lower odds of vaccination. Despite the Veteran Health Affairs Administration's universal approach to healthcare, racial disparities still exist in preventive care.

Indexed as

Influenzavaccinationvaccination coveragevaccine hesitancyveterans

Identifiers

PMID39611140
PMCPMC11602634

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.