Evidence map›Paper›PMID 38475702›Full record

ArticleBMC infectious diseases2024

Predictors of COVID-19 vaccine uptake: an online three-wave survey study of US adults.

Alistair Thorpe, Angela Fagerlin, Frank A Drews, Holly Shoemaker, Federica S Brecha, Laura D Scherer

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
15.8field-weighted citation impact, top 1% 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

8 citing papers in PubMed, 30 citations in OpenAlex.

  1. Comparing the Antimicrobial Resistance Crisis to the COVID-19 Pandemic: A Randomized Public Health Messaging Experiment.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
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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 2 institutions in 2 countries.

Alistair ThorpeDepartment of Population Health Sciences, Spencer Fox Eccles School of Medicine at University of Utah, Salt Lake City, UT, USA. alistair.thorpe@hsc.utah.edu.ORCID http://orcid.org/0000-0001-5078-2715
Angela FagerlinDepartment of Population Health Sciences, Spencer Fox Eccles School of Medicine at University of Utah, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0002-9192-2777
Frank A DrewsSalt Lake City VA Informatics Decision- Enhancement and Analytic Sciences (IDEAS) Center for Innovation, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0003-4263-4602
Holly ShoemakerDepartment of Population Health Sciences, Spencer Fox Eccles School of Medicine at University of Utah, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0002-7830-3269
Federica S BrechaDepartment of Population Health Sciences, Spencer Fox Eccles School of Medicine at University of Utah, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0001-8984-5816
Laura D SchererDivision of Cardiology, University of Colorado, School of Medicine, Aurora, CO, USA.ORCID http://orcid.org/0000-0002-8660-7115
University of Utah · USDenver VA Medical Center · US

Funding

American Heart Association 51300302U.S. Department of Veterans Affairs C-19-20-205
6 · The paper itself

Abstract

backgroundTo effectively promote vaccine uptake, it is important to understand which people are most and least inclined to be vaccinated and why. In this study, we examined predictors of COVID-19 vaccine uptake and reasons for non-vaccination.

methodsWe conducted an online English-language survey study in December-2020, January-2021, and March-2021. A total of 930 US respondents completed all surveys. Multiple logistic regression models were run to test whether the early vaccine eligibility, demographic factors, and psychological factors predict getting at least one dose of a COVID-19 vaccination in January-2021 and in March-2021.

resultsThe proportion of respondents who received ≥ 1-dose of a COVID-19 vaccine increased from 18% (January) to 67% (March). Older age predicted vaccine uptake in January (OR = 2.02[95%CI = 1.14-3.78], p < .001) and March (10.92[6.76-18.05], p < .001). In January, additional predictors were higher numeracy (1.48[1.20-1.86], p < .001), COVID-19 risk perceptions (1.35[1.03-1.78], p = .029), and believing it is important adults get the COVID-19 vaccine (1.66[1.05-2.66], p = .033). In March, additional predictors of uptake were believing it is important adults get the COVID-19 vaccine (1.63[1.15-2.34], p = .006), prior COVID-19 vaccine intentions (1.37[1.10-1.72], p = .006), and belief in science (0.84[0.72-0.99], p = .041). Concerns about side effects and the development process were the most common reasons for non-vaccination. Unvaccinated respondents with no interest in getting a COVID-19 vaccine were younger (0.27[0.09-0.77], p = .016), held negative views about COVID-19 vaccines for adults (0.15[0.08-0.26], p < .001), had lower trust in healthcare (0.59[0.36-0.95], p = .032), and preferred to watch and wait in clinically ambiguous medical situations (0.66[0.48-0.89], p = .007).

conclusionsEvidence that attitudes and intentions towards COVID-19 vaccines were important predictors of uptake provides validation for studies using these measures and reinforces the need to develop strategies for addressing safety and development concerns which remain at the forefront of vaccine hesitancy.

Indexed as

COVID-19COVID-19 VaccinesAdultEligibility DeterminationHealth FacilitiesHumansLogistic ModelsVaccinationCOVID-19 VaccinesCOVID-19COVID-19 vaccinesMass vaccinationPublic healthVaccination coverageVaccine hesitancy

Identifiers

PMID38475702
PMCPMC10936026
OpenAlexW4392691437

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.