Evidence map›Paper›PMID 36508989›Full record

Trial reportSocial science & medicine (1982)2023

Economic risk framing increases intention to vaccinate among Republican COVID-19 vaccine refusers.

Wei Zhong, David A Broniatowski

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Social science & medicine (1982), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
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.

Wei ZhongDepartment of Engineering Management and Systems Engineering, The George Washington University, Washington, DC, United States. Electronic address: weizhong@gwu.edu.
David A BroniatowskiDepartment of Engineering Management and Systems Engineering, The George Washington University, Washington, DC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine if framing communications about COVID-19 vaccines in economic terms can increase Republicans' likelihood to get vaccinated.

methodsWe examined Twitter posts between January 2020 and September 2021 by Democratic and Republican politicians to determine how they framed the COVID-19 pandemic. Based on these posts, we carried out a survey study between September and November 2021 to examine whether motivations for COVID-19 vaccine uptake matched message frames that were widely used by these politicians. Finally, we conducted a randomized controlled experiment to examine how these frames (economic vs. health) affected intentions to vaccinate by vaccine refusers in both parties.

resultsRepublican politicians were more likely to frame the pandemic in economic terms, whereas Democrats predominantly used health frames. Accordingly, vaccinated Republicans' choices were more likely to be motivated by economic consideration (β = 0.25, p = 0.02) and personal financial rationales (β = 0.24, p = 0.03). Among vaccine refusers, Republicans exposed to messages using economic rationales to encourage vaccination reported higher vaccination intentions compared to those exposed to messages using public health rationales (F

conclusionMessages highlighting economic and personal financial risks could increase intentions to vaccinate for vaccine-hesitant Republicans. PUBLIC HEALTH IMPLICATIONS: Agencies should invest in developing messages that are congruent with frames that are already widely used by co-partisans. Social media may be helpful in eliciting these frames.

Indexed as

COVID-19COVID-19 VaccinesHumansIntentionPandemicsVaccinationCOVID-19 VaccinesCOVID-19EconomyFinancial riskFramingHesitancyRepublicanVaccination

Identifiers

PMID36508989
PMCPMC9726654

What OpenQuestion holds

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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.