Evidence map›Paper›PMID 42475322›Full record

ArticlePloS one2026

Partisan differences in healthcare decision-making: Evidence from a vaccine experiment.

Brandyn F Churchill, Xiaoxue Sherry Gao, Rong Rong

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Brandyn F ChurchillDepartment of Public Administration & Policy, American University, District of Columbia, United States of America.ORCID https://orcid.org/0000-0002-9798-5701
Xiaoxue Sherry GaoDepartment of Resource Economics, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-4081-387X
Rong RongDepartment of Resource Economics, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Policymakers use information campaigns to alter health behaviors, but their effectiveness depends on how the information compares to viewers' initial beliefs and their perceptions of its value. In August 2024, we experimentally tested whether political identity influenced how individuals responded to information about the COVID-19 vaccine. Our sample included 288 self-identified Democrats and 291 self-identified Republicans. We found that Democrats and Republicans similarly overestimated the frequency and severity of COVID-19 infections, as well as the vaccination rate. Participants were not better at predicting the COVID-19 experiences of their concordant party. However, participants who learned they underestimated the discordant party vaccination rate were more likely to report an intent to receive a COVID-19 vaccine.

Indexed as

COVID-19COVID-19 VaccinesDecision MakingPoliticsVaccinationAdultFemaleHumansMaleSARS-CoV-2COVID-19 Vaccines

Identifiers

PMID42475322
PMCPMC13384293

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.