Evidence map›Paper›PMID 32995374›Full record

ArticleInternational journal of nursing sciences2020

How media empower the vulnerable: Using community structure theory to analyze relationships between demographics and health reporting.

John C Pollock

Erratum issuedAbstract read
In one paragraph

Article in International journal of nursing sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

1 author.

John C PollockDepts. of Communication Studies and Public Health, The College of New Jersey, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Instead of studying the impact of media on society, the traditional "top down" orientation of most communication studies scholars, this keynote presentation adopted the opposite perspective, exploring the "bottom-up" impact of "society" on "media". Unlike conventional "agenda-setting theory", which suggests that nationally prominent news media set issue "agendas" for other news media and public opinion, and also unlike the "guard dog" view that media essentially protect the interests of political and economic elites, the "community structure theory" explores links between different community (typically city or nation-state) demographics and variations in reporting on critical health concerns. Summarizing his scholarship on health communication presented and published over decades, the speaker outlined community structure theory's illumination of two overall patterns in US and cross-national coverage of health communication issues. In US coverage, broad measures of economically "buffered" privilege (educational, income, or occupational advantage) are linked to "favorable" or "government responsibility" coverage of health issues, and specific measures of "health" privilege (physicians, hospitals) are connected to "favorable" or "government responsibility" coverage promoting selected health issues. In cross-national coverage, specific measures of national "health vulnerability" (such as percent without improved water access, infant mortality rate) are linked to "government" responsibility coverage for selected health issues (human trafficking, water handling/contamination). In addition, broad measures of "macro" vulnerability conditions (agricultural dependence, political instability) are associated with "government" responsibility coverage for a wide range of health issues (genetically modified foods, drug trafficking, condom promotion, and food security). Overall, community structure theory's "bottom up" perspective reveals how the vulnerable are empowered by their demographic alignment with variations in health communication.

Indexed as

Community structure theoryEmpoweringHealth communicationMediaReportingVulnerability

Identifiers

PMID32995374
PMCPMC7501476

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.