Evidence map›Paper›PMID 35305206›Full record

ArticleJournal of behavioral medicine2023

Reducing COVID-19 vaccine hesitancy among African Americans: the effects of narratives, character's self-persuasion, and trust in science.

Yan Huang, Melanie C Green

Open access · bronzeAbstract read
In one paragraph

Article in Journal of behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
45.2field-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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 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

2 authors at 2 institutions in 1 country.

Yan HuangJack J. Valenti School of Communication, University of Houston, 3347 Cullen Blvd, Houston, TX, 77204, USA. yhuang63@uh.edu.ORCID 0000-0001-7607-9585
Melanie C GreenDepartment of Communication, University at Buffalo, Buffalo, NY, USA.ORCID 0000-0002-5469-8470
University at Buffalo, State University of New York · USUniversity of Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research examines the efficacy of self-persuasion narratives (i.e., narratives that describe how a character has changed their mind about the COVID-19 vaccines) in encouraging vaccine uptake among unvaccinated African Americans. A five-condition experiment (N = 394) was conducted in June 2021. Participants viewed one of the three pro-vaccine messages (a self-persuasion narrative, a narrative without self-persuasion, or a non-narrative message) or an irrelevant message or completed a self-persuasion task. Findings supported the persuasive benefits of the self-persuasion narrative compared to the narrative without self-persuasion, actual self-persuasion, and the irrelevant message. Its advantage over the narrative without self-persuasion was mediated by increased self-referencing, affective empathy, and perceived similarity with the character. Moreover, its psychological effects were moderated by participants' trust in science. Unexpectedly, the non-narrative showed persuasive benefits compared to other intervention strategies. The theoretical implications for narrative persuasion and practical implications for vaccine promotion were discussed.

Indexed as

Black or African AmericanChoice BehaviorCOVID-19COVID-19 VaccinesNarrationVaccination HesitancyHumansPatient ParticipationPersuasive CommunicationSelf ConceptTrustCOVID-19 VaccinesCOVID-19 vaccinationNarrative persuasionSelf-persuasionTrust in scienceVaccine hesitancy

Identifiers

PMID35305206
PMCPMC8933767
OpenAlexW4220669385

What OpenQuestion holds

Textmetadata
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.