Evidence map›Paper›PMID 20147676›Full record

ArticleAmerican journal of public health2010

Coverage and framing of racial and ethnic health disparities in US newspapers, 1996-2005.

Annice E Kim, Shiriki Kumanyika, Daniel Shive, Uzy Igweatu, Son-Ho Kim

Abstract read
In one paragraph

Article in American journal of public health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. Rural Women's Perceptions About Cancer Disparities and Contributing Factors: a Call to Communication.Journal of cancer education : the official journal of the American Association for Cancer Education · 2018
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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

5 authors.

Annice E KimRobert Wood Johnson Health and Society Scholars Program, University of Pennsylvania, Philadelphia, USA. akim@rti.org
Shiriki Kumanyika
Daniel Shive
Uzy Igweatu
Son-Ho Kim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe examined how causes of and solutions to racial/ethnic health disparities are covered and framed in newspapers over time.

methodsWe used LexisNexis to identify articles on racial/ethnic health disparities published from 1996 through 2005 in 40 US newspapers. We coded articles for diseases and racial/ethnic groups mentioned; whether causes and solutions were framed as genetic, behavioral, health care, or societal responsibility; and whether a social-justice rationale for eliminating racial/ethnic health disparities was invoked.

resultsWe identified 3823 racial/ethnic health disparity articles. Coverage peaked in 1998 and has declined since. Disparities in HIV/AIDS, cardiovascular disease, and cancer generated the most coverage. Articles focused primarily on African Americans. Only 30% of articles provided causal or solution explanations, with academic researchers providing the most causal explanations and advocacy groups providing the most solutions. For both causes and solutions, behavioral explanations dominated the discourse, followed by societal, health care, and genetic explanations. Only 4% of articles invoked a social-justice rationale.

conclusionsThe dominance of behavioral explanations may limit public support for policy solutions to eliminate racial/ethnic health disparities. Future research should examine the design and dissemination of effective messages about the social determinants of health.

Indexed as

EthnicityHealth Status DisparitiesNewspapers as TopicRacial GroupsBibliometricsCausalityHumansUnited States

Identifiers

PMID20147676
PMCPMC2837421

What OpenQuestion holds

Textmetadata
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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.