Using a mental model approach to undercut the effects of exposure to mRNA vaccination misconceptions: Two randomized trials

Although messenger RNA (mRNA) technology revolutionized vaccine creation, its use is threatened by unwarranted fear that DNA left over from the vaccine manufacturing process could integrate into recipients' DNA, increasing cancer and heritable risks. Drawing on the mental model theory of reasoning, our two preregistered interventions undercut these problematic conclusions. They do so by testing the effectiveness of two mental model-based interventions juxtaposing problematic claims with visualized or verbally explained models of basic biological and vaccination systems. Study 1: a) graphically modeled how mRNA COVID-19 vaccination works (Model 1); b) verbally modeled ways in which cells protect themselves from foreign DNA (Model 2); and c) provided ancillary material designed to bolster perceptions of mRNA vaccination safety. Study 2 deployed an animation of the cell-protection model (Model 2), alone, and in combination with Study 1's messaging. Neither the mRNA vaccine nor the DNA protection model explicitly acknowledged the problematic DNA-integration claim. Both preemptive (before) and rebuttal (after) positioning of the models were effective. Within-person analyses suggested that preemptive positioning may be somewhat more effective than rebuttal positioning. Some positive effects of exposure to the modeled knowledge messaging condition in Study 1 persisted 2 mo after exposure.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-11-24
DOI
https://doi.org/10.1073/pnas.2517067122
Citations
1
Primary Topic
Animal testing and alternatives
Type
article
Field-Weighted Citation Impact
2.35
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article

Using a mental model approach to undercut the effects of exposure to mRNA vaccination misconceptions: Two randomized trials

Shawn Patterson, Kathleen Hall Jamieson, Laura Gibson, Patrick E. Jamieson
1 citations
Proceedings of the National Academy of Sciences
Animal testing and alternatives
2.35
article

Using a mental model approach to undercut the effects of exposure to mRNA vaccination misconceptions: Two randomized trials

Shawn Patterson, Kathleen Hall Jamieson, Laura Gibson, Patrick E. Jamieson
article en
1 citations

Abstract

Although messenger RNA (mRNA) technology revolutionized vaccine creation, its use is threatened by unwarranted fear that DNA left over from the vaccine manufacturing process could integrate into recipients' DNA, increasing cancer and heritable risks. Drawing on the mental model theory of reasoning, our two preregistered interventions undercut these problematic conclusions. They do so by testing the effectiveness of two mental model-based interventions juxtaposing problematic claims with visualized or verbally explained models of basic biological and vaccination systems. Study 1: a) graphically modeled how mRNA COVID-19 vaccination works (Model 1); b) verbally modeled ways in which cells protect themselves from foreign DNA (Model 2); and c) provided ancillary material designed to bolster perceptions of mRNA vaccination safety. Study 2 deployed an animation of the cell-protection model (Model 2), alone, and in combination with Study 1's messaging. Neither the mRNA vaccine nor the DNA protection model explicitly acknowledged the problematic DNA-integration claim. Both preemptive (before) and rebuttal (after) positioning of the models were effective. Within-person analyses suggested that preemptive positioning may be somewhat more effective than rebuttal positioning. Some positive effects of exposure to the modeled knowledge messaging condition in Study 1 persisted 2 mo after exposure.

Proceedings of the National Academy of SciencesVol. 122(48)
University of Pennsylvania (US)
Openalex Percentile: Top 9%
Animal testing and alternatives
2.35
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Using a mental model approach to undercut the effects of exposure to mRNA vaccination misconceptions: Two randomized trials — Shawn Patterson, Kathleen Hall Jamieson, et al. · Proceedings of the National Academy of Sciences (2025) | TGRS Research Map | TGRS