Evidence map›Paper›PMID 35041541›Full record

ArticleAmerican journal of health promotion : AJHP2022

Predicting Intention to Take a COVID-19 Vaccine in the United States: Application and Extension of Theory of Planned Behavior.

Yusuke Hayashi, Paul Romanowich, Donald A Hantula

Abstract read
In one paragraph

Article in American journal of health promotion : AJHP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  17. Frontiers in public health · 2022
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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

3 authors.

Yusuke HayashiDivision of Social Sciences and Education, Pennsylvania State University, Hazleton, PA, USA.ORCID 0000-0002-2776-8461
Paul RomanowichDepartment of Psychology, 7447Gonzaga University, Spokane, WA, USA.ORCID 0000-0002-0911-0826
Donald A HantulaDepartment of Psychology, 6558Temple University, Philadelphia, PA, USA.ORCID 0000-0001-8954-9152

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to apply and extend the theory of planned behavior (TPB) to predict intention to take a COVID-19 vaccine.

designCross-sectional.

settingOnline. SAMPLE: Adult US residents recruited from Amazon Mechanical Turk ( MEASURES: Intention to take a COVID-19 vaccine (outcome variable), demographic variables (predictors), standard TPB variables (perceived behavioral control, attitude, and subjective norm; predictors), and non-TPB variables (anticipated regret, health locus of control, and perceived community benefit; predictors). ANALYSIS: Hierarchical linear regression predicting intention to take a COVID-19 vaccine, with demographic, standard TPB, and non-TPB variables entered in regression models 1, 2, and 3, respectively.

resultsThe extended TPB model accounted for 72.5% of the variance in vaccination intention (

conclusionDespite the relatively small and non-representative sample, this study, conducted after COVID-19 vaccines were widely available in the USA, demonstrated that perceived behavioral control was the most robust predictor of intention to take a COVID-19 vaccine, suggesting that the TPB is a useful theoretical framework that can inform effective strategies to promote vaccine acceptance.

Indexed as

COVID-19COVID-19 VaccinesAdultCross-Sectional StudiesHumansIntentionSARS-CoV-2Surveys and QuestionnairesUnited StatesCOVID-19 VaccinesCOVID-19perceived behavioral controlperceived community benefitstheory of planned behaviorvaccination intention

Identifiers

PMID35041541
PMCPMC9014362

What OpenQuestion holds

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Registered trials

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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.