Evidence map›Paper›PMID 41050833›Full record

ArticleFederal practitioner : for the health care professionals of the VA, DoD, and PHS2025

Insights Into Veterans' Motivations and Hesitancies for COVID-19 Vaccine Uptake: A Mixed-Methods Analysis.

Alexis K Barrett, Jaime E Sidani, Kelly H Burkitt, Elijah Z Lovelace, Ali F Sonel, Beth L Hoffman, Galen Switzer, Keri L Rodriguez, Kristina L Hruska, Maria K Mor and 4 more

Abstract read
In one paragraph

Article in Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Alexis K BarrettVeterans Affairs Pittsburgh Healthcare System, Pennsylvania.
Jaime E SidaniUniversity of Pittsburgh School of Public Health, Pennsylvania.
Kelly H BurkittVeterans Affairs Pittsburgh Healthcare System, Pennsylvania.
Elijah Z LovelaceVeterans Affairs Pittsburgh Healthcare System, Pennsylvania.
Ali F SonelVeterans Affairs Pittsburgh Healthcare System, Pennsylvania.
Beth L HoffmanUniversity of Pittsburgh School of Public Health, Pennsylvania.
Galen SwitzerUniversity of Pittsburgh School of Medicine, Pennsylvania.
Keri L RodriguezVeterans Affairs Pittsburgh Healthcare System, Pennsylvania.
Kristina L HruskaVeterans Affairs Pittsburgh Healthcare System, Pennsylvania.
Maria K MorVeterans Affairs Pittsburgh Healthcare System, Pennsylvania.
Nicole M BeyerVeterans Affairs Pittsburgh Healthcare System, Pennsylvania.
Riley WolynnUniversity of Pittsburgh School of Public Health, Pennsylvania.
Tiffany PellathyVeterans Affairs Pittsburgh Healthcare System, Pennsylvania.
Michael J FineVeterans Affairs Pittsburgh Healthcare System, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the morbidity and mortality associated with COVID-19 infection, vaccine hesitancy remains a barrier to uptake. This article assessed whether unique clusters can be identified based on COVID-19-related thoughts and feelings and whether cluster membership is associated with COVID-19 vaccination. We also explored how individuals' thoughts, beliefs, and trust shape motivations and hesitancies for vaccine use. Methods: This mixed-methods quality improvement project was conducted from July 2021 through May 2022 in Primary Care at the Veterans Affairs Pittsburgh Healthcare System. The primary outcome was self-reported COVID-19 vaccination. K-means analysis were used to identify clusters based on questionnaire responses, and multivariable logistic regression were used to assess the association between cluster membership and vaccination. We conducted qualitative interviews with patients in the 2 clusters with the lowest vaccination rates to explore vaccination motivations and hesitancies. Results: Among 1208 respondents, 1034 (85.6%) were vaccinated. Four unique clusters were identified with vaccination rates of 29.9%, 93.3%, 93.5%, and 98.9%. Cluster membership was independently associated with vaccination, with adjusted odds ratios in the 3 most frequently vaccinated clusters of 12.1 (95% CI, 6.1-23.8), 13.0 (95% CI, 6.9-24.5), and 48.6 (95% CI, 15.5-152.0). Thematic analyses of 47 qualitative interviews found that protecting oneself and protecting others were the most common motivators for vaccination. The most common concerns were the rapid development of the vaccines and adverse effects, both more frequently endorsed in the cluster with the lowest vaccination rate. Conclusions: Unique patient clusters based on infection- and vaccine-related thoughts and feelings are independently associated with COVID-19 vaccination. Identifiable themes regarding vaccine uptake and hesitancy vary among these clusters. These themes can be used to tailor strategies to diminish vaccine hesitancy and augment vaccination uptake among veterans.

Identifiers

PMID41050833
PMCPMC12494341

What OpenQuestion holds

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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.