Evidence map›Paper›PMID 36624092›Full record

ArticleNature communications2023

Providing normative information increases intentions to accept a COVID-19 vaccine.

Alex Moehring, Avinash Collis, Kiran Garimella, M Amin Rahimian, Sinan Aral, Dean Eckles

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
16.2field-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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

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  17. Political polarization and health.Nature medicine · 2024
    Review
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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

6 authors at 5 institutions in 1 country.

Alex MoehringSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-6822-6354
Avinash Collis *McCombs School of Business, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-5582-9332
Kiran Garimella *School of Communication and Information, Rutgers University, New Brunswick, NJ, USA.
M Amin Rahimian *MIT Initiative on the Digital Economy, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-9384-1041
Sinan AralSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-2762-058X
Dean EcklesSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA. eckles@mit.edu.ORCID 0000-0001-8439-442X
Massachusetts Institute of Technology · USIIT@MIT · USRutgers, The State University of New Jersey · USThe University of Texas at Austin · USUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the availability of multiple safe vaccines, vaccine hesitancy may present a challenge to successful control of the COVID-19 pandemic. As with many human behaviors, people's vaccine acceptance may be affected by their beliefs about whether others will accept a vaccine (i.e., descriptive norms). However, information about these descriptive norms may have different effects depending on the actual descriptive norm, people's baseline beliefs, and the relative importance of conformity, social learning, and free-riding. Here, using a pre-registered, randomized experiment (N = 484,239) embedded in an international survey (23 countries), we show that accurate information about descriptive norms can increase intentions to accept a vaccine for COVID-19. We find mixed evidence that information on descriptive norms impacts mask wearing intentions and no statistically significant evidence that it impacts intentions to physically distance. The effects on vaccination intentions are largely consistent across the 23 included countries, but are concentrated among people who were otherwise uncertain about accepting a vaccine. Providing normative information in vaccine communications partially corrects individuals' underestimation of how many other people will accept a vaccine. These results suggest that presenting people with information about the widespread and growing acceptance of COVID-19 vaccines helps to increase vaccination intentions.

Indexed as

COVID-19COVID-19 VaccinesHumansIntentionPandemicsVaccinationCOVID-19 Vaccines

Identifiers

PMID36624092
PMCPMC9828376
OpenAlexW4313888849

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.