Evidence map›Paper›PMID 36201500›Full record

ArticlePloS one2022

Television airings of U.S. federal COVID-19 public service announcements in 2020 were associated with market-level political orientation, not COVID-19 rates.

Sarah E Gollust, Chris Frenier, Margaret Tait, Colleen Bogucki, Jeff Niederdeppe, Steven T Moore, Laura Baum, Erika Franklin Fowler

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Sarah E GollustDivision of Health Policy and Management, University of Minnesota School of Public Health, Minnesota, Minneapolis, United States of America.ORCID 0000-0001-6109-5953
Chris FrenierDepartment of Health Policy and Management, Yale School of Public Health, United States of America.
Margaret TaitDivision of Health Policy and Management, University of Minnesota School of Public Health, Minnesota, Minneapolis, United States of America.
Colleen BoguckiDivision of Health and Environment, Abt Associates, United States of America.
Jeff NiederdeppeDepartment of Communication, Cornell University, Ithaca, New York, United States of America.
Steven T MooreDepartment of Government, Wesleyan University, Middletown, Connecticut, United States of America.
Laura BaumWesleyan Media Project, Wesleyan University, Middletown, Connecticut United States of America.ORCID 0000-0003-4789-0402
Erika Franklin FowlerDepartment of Government, Wesleyan University, Middletown, Connecticut, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Televised public service announcements were one of the ways that the U.S. federal government distributed health information about the COVID-19 pandemic to Americans in 2020. However, little is known about the reach of these campaigns or the populations who might have been exposed to the information these ads conveyed. We conducted a descriptive analysis of federally-affiliated public service announcement airings to assess where they were aired and the market-level social and demographic characteristics associated with the airings. We found no correspondence between airings and COVID-19 incidence rates from March to December 2020, but we found a positive association between airings and the Democratic vote share of the market, adjusting for other market demographic characteristics. Our results suggest that PSAs may have contributed to divergent exposure to health information among the U.S. public during the first year of the COVID-19 pandemic.

Indexed as

COVID-19HumansPandemicsTelevisionUnited States

Identifiers

PMID36201500
PMCPMC9536622

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.