Evidence map›Paper›PMID 40763395›Full record

ArticleVaccine2025

Factors influencing COVID-19 vaccine uptake among vulnerable communities in Texas: Perceptions of 2-1-1 helpline callers.

Lara S Savas, Paula Cuccaro, Kehe Zhang, Rodrigo Hernandez, Meghan E Haffey, Belinda Reininger, Anais Mendiola, Olivia Dominguez, Maribel Sifuentes, Cici Bauer and 1 more

Abstract read
In one paragraph

Article in Vaccine, 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

11 authors.

Lara S SavasDepartment of Health Promotion and Behavioral Sciences, Center for Health Promotion and Prevention Research, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, United States. Electronic address: Lara.Staub@uth.tmc.edu.
Paula CuccaroDepartment of Health Promotion and Behavioral Sciences, Center for Health Promotion and Prevention Research, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, United States.
Kehe ZhangDepartment of Biostatistics and Data Science, Center for Spatial-Temporal Modeling for Applications in Population Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States.
Rodrigo HernandezDepartment of Health Promotion and Behavioral Sciences, Center for Health Promotion and Prevention Research, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, United States.
Meghan E HaffeyDepartment of Health Promotion and Behavioral Sciences, Center for Health Promotion and Prevention Research, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, United States.
Belinda ReiningerDepartment of Health Promotion and Behavioral Sciences, Hispanic Health Research Center, The University of Texas Health Science Center at Houston School of Public Health, Brownsville Regional Campus, Brownsville, TX, United States.
Anais MendiolaDepartment of Health Promotion and Behavioral Sciences, Center for Health Promotion and Prevention Research, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, United States.
Olivia DominguezDepartment of Health Promotion and Behavioral Sciences, Center for Health Promotion and Prevention Research, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, United States.
Maribel SifuentesDepartment of Health Promotion and Behavioral Sciences, Hispanic Health Research Center, The University of Texas Health Science Center at Houston School of Public Health, Brownsville Regional Campus, Brownsville, TX, United States.
Cici BauerDepartment of Biostatistics and Data Science, Center for Spatial-Temporal Modeling for Applications in Population Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States.
Maria E FernandezDepartment of Health Promotion and Behavioral Sciences, Center for Health Promotion and Prevention Research, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, United States.

Funding

Convalescent Plasma to Limit Coronavirus Associated ComplicationsUL1TR003167 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KARP, DANIEL D, MCPHERSON, DAVID D · 2019 to 2023
$45.3M
Center for Clinical and Translational SciencesUM1TR004906 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Maria Eulalia Fernandez, LORNA H. MCNEILL · 2024 to 2026
$16.7M
NCATS NIH HHS UL1 TR003167NCATS NIH HHS UM1 TR004906NCCDPHP CDC HHS U48 DP006408
6 · The paper itself

Abstract

backgroundVaccination effectively and safely prevents serious illness from coronavirus disease 2019 (COVID-19). This study examines the complex factors associated with vaccination uptake among economically disadvantaged adults calling the Texas/United Way 2-1-1 helpline. Results informed the development of strategies to increase COVID-19 vaccine uptake among vulnerable populations disproportionately impacted by COVID-19-related morbidity and mortality. MATERIAL AND

methodsWe conducted a cross-sectional survey among 2-1-1 adult callers (May 2021-September 2022). The survey examined demographic, sociocultural, healthcare access, and psychosocial factors, as well as mistrust in health agencies. We used multivariable logistic regression models to examine factors associated with vaccination uptake, and ordinal regression models to examine factors associated with psychosocial constructs significantly related to vaccination outcomes.

resultsThe majority of respondents were from low-income households, had low education attainment, and were minorities. Among the 509 surveys, 67.2 % of participants reported vaccine uptake. Multivariable logistic regression analyses indicated significantly higher odds of vaccination among adults 50-64 years and 65 years and over (OR: 4.5, 95 % CI: 1.7-11.7 and OR: 7.2, 95 % CI: 1.8-28; P < 0.01). Respondents with higher scores on perceived susceptibility (OR: 1.4, 95 % CI: 1.0-1.8, p = 0.02), perceived safety of the vaccine (OR: 2.9, 95 % CI: 1.9-4.3, p < 0.01) and beliefs about vaccine effectiveness against COVID-19 (OR: 1.5, 95 % CI: 1.1-2.0, p = 0.02) and serious illness and hospitalization (OR: 1.4, 95 %: 1.0-1.8, p = 0.02) were significantly more likely to have received a vaccination.

conclusionsOur results indicate that among the sample of economically vulnerable 2-1-1 callers from primarily underserved minority groups, perceived vaccine safety and effectiveness (against COVID-19, serious illness, and hospitalization), and perceived susceptibility to COVID-19 are important factors associated with vaccine uptake. These findings underscore the importance of designing interventions to increase vaccination that address these constructs with powerful messages and strategies.

Indexed as

COVID-19COVID-19 VaccinesHotlinesVaccinationVulnerable PopulationsAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSARS-CoV-2TexasVaccination HesitancyYoung AdultCOVID-19 VaccinesCOVID-19Psychosocial factorsSARS-CoV-2Vaccine, underserved adults, survey

Identifiers

PMID40763395
PMCPMC12818904

What Socratic 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 Socratic graph.