Evidence map›Paper›PMID 36219842›Full record

ArticleJMIR public health and surveillance2022

Factors Associated With the Intention to Receive the COVID-19 Vaccine: Cross-sectional National Study.

Monica L Kasting, Jonathan T Macy, Shaun J Grannis, Ashley J Wiensch, Juan M Lavista Ferres, Brian E Dixon

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Improving Vaccine Clinic Efficiency Through the CANImmunize Platform.Online journal of public health informatics · 2024
    Article
  5. Observational
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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

6 authors at 4 institutions in 1 country.

Monica L KastingDepartment of Public Health, Purdue University, West Lafayette, IN, United States.ORCID 0000-0002-9879-7235
Jonathan T MacyDepartment of Applied Health Science, School of Public Health, Indiana University, Bloomington, IN, United States.ORCID 0000-0003-2925-8585
Shaun J GrannisDepartment of Family Medicine, School of Medicine, Indiana University, Indianapolis, IN, United States.ORCID 0000-0002-8093-6639
Ashley J WienschCenter for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.ORCID 0000-0001-6694-8089
Juan M Lavista FerresAI for Good Research Lab, Microsoft Corporation, Redmond, WA, United States.ORCID 0000-0002-9654-3178
Brian E DixonCenter for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.ORCID 0000-0002-1121-0607
Regenstrief Institute · USIndiana University Bloomington · USIndiana University Health · USMicrosoft (United States) · US

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Translating Measures of Visual Experience to Children with Autism and Down SyndromeKL2TR002530 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI ROBB, SHERI L · 2018 to 2022
$4.8M
NCATS NIH HHS KL2 TR002530NCATS NIH HHS UL1 TR002529
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic is an unprecedented public health crisis, and vaccines are the most effective means of preventing severe consequences of this disease. Hesitancy regarding vaccines persists among adults in the United States, despite overwhelming scientific evidence of safety and efficacy.

objectiveThe purpose of this study was to use the Health Belief Model (HBM) and reasoned action approach (RAA) to examine COVID-19 vaccine hesitancy by comparing those who had already received 1 vaccine to those who had received none.

methodsThis study examined demographic and theory-based factors associated with vaccine uptake and intention among 1643 adults in the United States who completed an online survey during February and March 2021. Survey items included demographic variables (eg, age, sex, political ideology), attitudes, and health belief variables (eg, perceived self-efficacy, perceived susceptibility). Hierarchical logistic regression analyses were used for vaccine uptake/intent. The first model included demographic variables. The second model added theory-based factors to examine the association of health beliefs and vaccine uptake above and beyond the associations explained by demographic characteristics alone.

resultsThe majority of participants were male (n=974, 59.3%), White (n=1347, 82.0%), and non-Hispanic (n=1518, 92.4%) and reported they had already received a COVID-19 vaccine or definitely would when it was available to them (n=1306, 79.5%). Demographic variables significantly associated with vaccine uptake/intent included age (adjusted odds ratio [AOR] 1.05, 95% CI 1.04-1.06), other race (AOR 0.47, 95% CI 0.27-0.83 vs White), and political ideology (AOR 15.77, 95% CI 7.03-35.35 very liberal vs very conservative). The theory-based factors most strongly associated with uptake/intention were attitudes (AOR 3.72, 95% CI 2.42-5.73), self-efficacy (AOR 1.75, 95% CI 1.34-2.29), and concerns about side effects (AOR 0.59, 95% CI 0.46-0.76). Although race and political ideology were significant in the model of demographic characteristics, they were not significant when controlling for attitudes and beliefs.

conclusionsVaccination represents one of the best tools to combat the COVID-19 pandemic, as well as other possible pandemics in the future. This study showed that older age, attitudes, injunctive norms, descriptive norms, and self-efficacy are positively associated with vaccine uptake and intent, whereas perceived side effects and lack of trust in the vaccine are associated with lower uptake and intent. Race and political ideology were not significant predictors when attitudes and beliefs were considered. Before vaccine hesitancy can be addressed, researchers and clinicians must understand the basis of vaccine hesitancy and which populations may show higher hesitancy to the vaccination so that interventions can be adequately targeted.

Indexed as

COVID-19VaccinesAdultCOVID-19 VaccinesCross-Sectional StudiesFemaleHumansIntentionMalePandemicsUnited StatesCOVID-19 VaccinesVaccinesCOVID-19COVID-19 vaccinesdemographicHealth Belief Modelhealth interventionlogistic regressiononline surveypublic healthreasoned action approachSARS-CoV-2vaccinationvaccination intentionvaccine hesitancy

Identifiers

PMID36219842
PMCPMC9665170
OpenAlexW4304757251

What OpenQuestion 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 OpenQuestion graph.