Evidence map›Paper›PMID 35455275›Full record

ArticleVaccines2022

Media Exposure and Media Credibility Influencing Public Intentions for Influenza Vaccination.

Chuanlin Ning, Difan Guo, Jing Wu, Hao Gao

Abstract read
In one paragraph

Article in Vaccines, 2022. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Overcoming Vaccine Hesitancy Using Community-Based Efforts.Pediatric clinics of North America · 2023
    Review
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.

Chuanlin NingSchool of Media and Communication, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-5545-4910
Difan GuoSchool of Journalism and Communication, Nanjing Normal University, Nanjing 210097, China.ORCID 0000-0002-0048-985X
Jing WuFaculty of Social Sciences, University of Ljubljana, 1000 Ljubljana, Slovenia.
Hao GaoSchool of Journalism and Communication, Nanjing Normal University, Nanjing 210097, China.ORCID 0000-0002-9749-008X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the low rate of influenza vaccination in China, this study explores the factors influencing the Chinese public's influenza vaccination intentions. Based on the technology acceptance model (TAM), this study builds a theoretical model to examine the factors influencing Chinese public intentions toward influenza vaccination. We define media exposure and media credibility as external variables and the perceived characteristics of influenza vaccines as intermediate variables in the proposed model. A total of 597 valid questionnaires were collected online in this study. Combined with structural equation modeling (SEM), SPSS 22.0 and AMOS 17.0 were used to conduct empirical research, supporting the proposed research hypotheses. The results show that media exposure and media credibility have no direct effects on the audience's intention to take the influenza vaccine. However, media exposure positively influences media credibility, influencing vaccination intentions through perceived usefulness (PU) and perceived ease of use (PEOU). Furthermore, PU and PEOU significantly positively influence behavioral intentions, and PEOU significantly affects PU. This paper has proven that media with better credibility gained more trust from the audience, indicating a new perspective for the promotion of influenza vaccination. This study suggests releasing influenza-related information via media with great credibility, further improving public acceptance of becoming vaccinated.

Indexed as

behavioral intentioninfluenza vaccinationmedia credibilitymedia exposuretechnology acceptance model

Identifiers

PMID35455275
PMCPMC9024633

What OpenQuestion holds

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LicenceCC BY
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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.