Evidence map›Paper›PMID 35953500›Full record

ArticleScientific reports2022

Misinformation of COVID-19 vaccines and vaccine hesitancy.

Sun Kyong Lee, Juhyung Sun, Seulki Jang, Shane Connelly

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 3 pooled it
89.9field-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

121 citing papers in PubMed, 3 syntheses or guidelines pooled it, 240 citations in OpenAlex.

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61 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 2 countries.

Sun Kyong LeeSchool of Media and Communication, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, South Korea. sunnylee@korea.ac.kr.
Juhyung SunDepartment of Communication, University of Oklahoma, Norman, USA.
Seulki JangDepartment of Psychology, University of Oklahoma, Norman, USA.
Shane ConnellyDepartment of Psychology, University of Oklahoma, Norman, USA.
University of Oklahoma · USKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study examined various types of misinformation related to the COVID-19 vaccines and their relationships to vaccine hesitancy and refusal. Study 1 asked a sample of full-time working professionals in the US (n = 505) about possible misinformation they were exposed to related to the COVID-19 vaccines. Study 2 utilized an online survey to examine U.S. college students' (n = 441) knowledge about COVID-19 vaccines, and its associations with vaccine hesitancy and behavioral intention to get a COVID-19 vaccine. Analysis of open-ended responses in Study 1 revealed that 57.6% reported being exposed to conspiratorial misinformation such as COVID-19 vaccines are harmful and dangerous. The results of a structural equation modeling analysis for Study 2 supported our hypotheses predicting a negative association between the knowledge level and vaccine hesitancy and between vaccine hesitancy and behavioral intention. Vaccine hesitancy mediated the relationship between the vaccine knowledge and behavioral intention. Findings across these studies suggest exposure to misinformation and believing it as true could increase vaccine hesitancy and reduce behavioral intention to get vaccinated.

Indexed as

COVID-19VaccinesCommunicationCOVID-19 VaccinesHealth Knowledge, Attitudes, PracticeHumansPatient Acceptance of Health CareVaccinationVaccination HesitancyCOVID-19 VaccinesVaccines

Identifiers

PMID35953500
PMCPMC9366757
OpenAlexW4290805617

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.