Evidence map›Paper›PMID 29799365›Full record

ArticleJournal of health communication2018

Structurating Expanded Genetic Carrier Screening: A Longitudinal Analysis of Online News Coverage.

Heather E Canary, Yvonne K Clark, Avery Holton

Abstract read
In one paragraph

Article in Journal of health communication, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 91% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Heather E Canarya School of Communication, San Diego State University, CA, USA.
Yvonne K Clarkb Department of Communication, University of Utah, Salt Lake City, UT, USA.
Avery Holtonb Department of Communication, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0003-1307-2890
University of Utah · USSan Diego State University · US

Funding

Utah Center of Excellence in ELSI Research: UCEERRM1HG009037 · NHGRI · UNIVERSITY OF UTAH · PI ROTHWELL, ERIN, TABERY, JAMES · 2016 to 2024
$8.0M
UCEER: Utah Center for Excellence in ELSI Research P20P20HG007249 · NHGRI · UNIVERSITY OF UTAH · PI BOTKIN, JEFFREY R. · 2013 to 2015
$777k
NHGRI NIH HHS P20 HG007249NHGRI NIH HHS RM1 HG009037
6 · The paper itself

Abstract

Expanded carrier screening (ECS) is a genetic test that is designed to assess the risk of a healthy person passing down a genetic disorder, such as spinal muscular atrophy, to future children. ECS screens for up to several hundred disorders in one test, expanding on traditional carrier screening tests that target one or a few genetic disorders. However, little is known about how this health technology is being presented to the public in media coverage. Accordingly, this study is a qualitative content analysis of online news and information of ECS over a 6-year period, beginning in 2010 when the technology was publicly available. Results indicate that major coverage themes were consistent across the years included, although content within those themes changed over time. Using structuration theory to guide analysis, results reveal that online news and information from 2010 to 2015 structurated ECS as a health technology innovation, an opportunity for business and investment, and a tool for family planning. Results are discussed in terms of implications for future research, for health journalism practice, and for clinical interactions.

Indexed as

Genetic Carrier ScreeningInternetMass MediaHumansLongitudinal StudiesQualitative Research

Identifiers

PMID29799365
PMCPMC6252291
OpenAlexW2804271604

What OpenQuestion holds

Textmetadata
LicenceTDM
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.