Evidence map›Paper›PMID 38106846›Full record

ArticleWorld medical & health policy2023

Picturing the populations who could benefit from health insurance access expansions: An analysis of US health insurance television ads airing in 2018.

Margaret Tait, Cynthia Pando, Cydney McGuire, Sarah Perez-Sanz, Laura Baum, Erika Fowler, Sarah Gollust

Abstract read
In one paragraph

Article in World medical & health policy, 2023. 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

7 authors.

Margaret TaitUniversity of Minnesota School of Public Health, Division of Health Policy and Management, Minneapolis, Minnesota, USA.ORCID 0000-0003-1964-0414
Cynthia PandoUniversity of Minnesota School of Public Health, Division of Health Policy and Management, Minneapolis, Minnesota, USA.
Cydney McGuireIndiana University Paul H. O'Neill School of Public and Environmental Affairs, Bloomington, Indiana, USA.ORCID 0000-0002-3723-1457
Sarah Perez-SanzBerkeley Media Studies Group, Berkeley, California, USA.
Laura BaumWesleyan Media Project, Middletown, Connecticut, USA.
Erika FowlerDepartment of Government, Wesleyan University, Middletown, Connecticut, USA.ORCID 0000-0003-3141-572X
Sarah GollustUniversity of Minnesota School of Public Health, Division of Health Policy and Management, Minneapolis, Minnesota, USA.ORCID 0000-0001-6109-5953

Funding

Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
Interdisciplinary Population Health Science Training: Linking Multilevel Forces Across TimeT32HD095134 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK, John Robert Warren · 2019 to 2026
$2.5M
NICHD NIH HHS P2C HD041023NICHD NIH HHS T32 HD095134
6 · The paper itself

Abstract

Efforts to expand access to health insurance in the United States are key to addressing health inequities and ensuring that all individuals have access to health care during the coronavirus disease 2019 pandemic. Yet, attempts to expand public insurance programs, including Medicaid, continue to face opposition in state and federal policymaking. Limited policy success raises questions about the health insurance information environment and the extent that available information signals both available resources and the need for policy reform. In this study, we explore one way that consumers and policymakers learn about health insurance-television advertisements-and analyze content in ads that could contribute to an understanding of who needs health insurance or who deserves to benefit from policies to expand insurance access. Specifically, we implement a content analysis of health insurance ads airing throughout 2018 on broadcast television or national cable, focusing on the depictions of people in those ads. Our findings indicate that individuals depicted in ads for Medicaid plans differ from those in ads for non-Medicaid plans. Groups that comprise large populations of current Medicaid enrollees, children and pregnant people, were more likely to appear in ads for non-Medicaid plans than in ads for Medicaid plans. This has implications for potential enrollees' understanding of who is eligible as well as the general public's and policymakers' perspectives on who should be targeted for current or future policies.

Indexed as

health reformmediaMedicaid

Identifiers

PMID38106846
PMCPMC10722961

What OpenQuestion holds

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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.