Evidence map›Paper›PMID 37195740›Full record

ArticleJournal of medical Internet research2023

The Influence of Mass Media on the COVID-19 Vaccination Decision-making Process: Prospective Survey-Based Study.

Cameron M Quon, Macey Walker, Lisa Graves

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 4% 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, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

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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 at 1 institution in 1 country.

Cameron M QuonDepartment of Family and Community Medicine, Western Michigan University Homer Stryker MD School of Medicine, Kalamazoo, MI, United States.ORCID 0000-0002-1226-5925
Macey WalkerDepartment of Family and Community Medicine, Western Michigan University Homer Stryker MD School of Medicine, Kalamazoo, MI, United States.ORCID 0000-0002-4991-2727
Lisa GravesDepartment of Family and Community Medicine, Western Michigan University Homer Stryker MD School of Medicine, Kalamazoo, MI, United States.ORCID 0000-0002-2300-7710
Western Michigan University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVaccine hesitancy during the COVID-19 pandemic was exacerbated by an infodemic of conflating accurate and inaccurate information with divergent political messages, leading to varying adherence to health-related behaviors. In addition to the media, people received information about COVID-19 and the vaccine from their physicians and closest networks of family and friends.

objectiveThis study explored individuals' decision-making processes in receiving the COVID-19 vaccine, focusing on the influence of specific media outlets, political orientation, personal networks, and the physician-patient relationship. We also evaluated the effect of other demographic data like age and employment status.

methodsAn internet survey was disseminated through the Western Michigan University Homer Stryker MD School of Medicine Facebook account. The survey included questions on media sources for COVID-19 information, political affiliation, presidential candidate choice, and multiple Likert-type agreement scale questions on conceptions of the vaccine. Each respondent was assigned a media source score, which represented the political leaning of their media consumption. This was calculated using a model based on data from the Pew Research Center that assigned an ideological profile to various news outlets.

resultsThe sample consisted of 1757 respondents, with 89.58% (1574/1757) of them choosing to take the COVID-19 vaccine. Those employed part-time and the unemployed were at 1.94 (95% CI 1.15-3.27) and 2.48 (95% CI 1.43-4.39) greater odds of choosing the vaccine than those employed full-time. For every 1-year increase in age, there was a 1.04 (95% CI 1.02-1.06) multiplicative increase in odds of choosing to receive the vaccine. For every 1-point increase in media source score toward more Liberal or Democrat, there was a 1.06 (95% CI 1.04-1.07) multiplicative increase in odds of choosing to take the COVID-19 vaccine. The Likert-type agreement scale showed statistically significant differences (P<.001) between respondents; those who chose the vaccine agreed more strongly on their belief in the safety and efficacy of vaccines, the influence of their personal beliefs, and the encouragement and positive experiences of family and friends. Most respondents rated their personal relationship with their physician to be good, but this factor did not correlate with differences in vaccine decision.

conclusionsAlthough multiple factors are involved, the role of mass media in shaping attitudes toward vaccines cannot be ignored, especially its ability to spread misinformation and foster division. Surprisingly, the effect of one's personal physician may not weigh as heavily in one's decision-making process, potentially indicating the need for physicians to alter their communication style, including involvement in social media. In the era of information overload, effective communication is critical in ensuring the dissemination of accurate and reliable information to optimize the vaccination decision-making process.

Indexed as

COVID-19COVID-19 VaccinesHumansMass MediaPandemicsProspective StudiesVaccinationCOVID-19 VaccinesaccuracyattitudesbehaviorcommunicationCOVID-19decision-makingdisseminationefficacyemploymentmass mediareliabilitysafetysurvey studyusagevaccinationvaccine hesitancy

Identifiers

PMID37195740
PMCPMC10233436
OpenAlexW4361014988

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.