Evidence map›Paper›PMID 36192792›Full record

ArticleInjury epidemiology2022

The effectiveness of value-based messages to engage gun owners on firearm policies: a three-stage nested study.

Claire Boine, Michael Siegel, Abdine Maiga

Abstract read
In one paragraph

Article in Injury epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Claire BoineDepartment of Community Health Sciences, Boston University School of Public Health, 801 Massachusetts Avenue, Boston, MA, 02118, USA. cboine@bu.edu.ORCID http://orcid.org/0000-0001-7797-1217
Michael SiegelDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA.
Abdine MaigaCentre d'Etudes, de Recherches, de Communication et d'Animation Pour le Développement (CERCAD), Paris, France.

Funding

Robert Wood Johnson Foundation 76132
6 · The paper itself

Abstract

backgroundAlthough gun owners overwhelmingly support violence prevention policies, they are hesitant to speak up publicly to advocate for these policies. We tested a series of communication messages on gun owners' level of support for various firearm violence prevention policies and on their willingness to engage in gun violence prevention advocacy.

methodsWe conducted three consecutive experiments, testing a total of thirteen messages on a sample of gun owners over 18 years old who live in the U.S. The first was a random experiment, the second a quasi-experiment, and the third a randomized control trial. The goal of having these varied methods was to develop messages applicable to different contexts with different levels of information about the audience.

resultsThe most effective message was a script showing respect for gun owners' decisions to purchase a firearm and proposing a balanced policy roadmap to end gun violence, which led to an increase in gun owner's willingness to engage in eight different advocacy activities. We also found a value-based message conveying loyalty to increase support for domestic violence related prohibitions and willingness to engage in advocacy for gun violence prevention policies.

conclusionsPublic health professionals need to develop communication strategies that are aligned with gun owners' values and that affirm respect for gun culture and for gun owners' decisions to own a gun.

Indexed as

Gun ownersGun violence preventionHealth communicationMoral foundation questionnaireValue-based messages

Identifiers

PMID36192792
PMCPMC9527730

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.