Evidence map›Paper›PMID 29471813›Full record

ArticleBMC public health2018

Rural-urban and racial-ethnic differences in awareness of direct-to-consumer genetic testing.

Ramzi G Salloum, Thomas J George, Natalie Silver, Merry-Jennifer Markham, Jaclyn M Hall, Yi Guo, Jiang Bian, Elizabeth A Shenkman

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Article
  8. Distributional Cost-Effectiveness Analysis in Genomic Medicine: Considerations for Addressing Health Equity.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2025
    Article
  9. Article
  10. One size does not fit all: the personal nature of completed embryo donation.Journal of assisted reproduction and genetics · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Awareness and use of genetic testing: An analysis of the Health Information National Trends Survey 2020.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Article
  17. Review
  18. Article
  19. Article
  20. 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.

Ramzi G SalloumDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, 2004 Mowry Road, PO Box 100177, Gainesville, FL, 32610, USA. rsalloum@ufl.edu.
Thomas J GeorgeDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, 2004 Mowry Road, PO Box 100177, Gainesville, FL, 32610, USA.
Natalie SilverDepartment of Otolaryngology, University of Florida, Gainesville, USA.
Merry-Jennifer MarkhamDepartment of Medicine Division of Hematology/Oncology, University of Florida, Gainesville, USA.
Jaclyn M HallDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, 2004 Mowry Road, PO Box 100177, Gainesville, FL, 32610, USA.
Yi GuoDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, 2004 Mowry Road, PO Box 100177, Gainesville, FL, 32610, USA.
Jiang BianDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, 2004 Mowry Road, PO Box 100177, Gainesville, FL, 32610, USA.
Elizabeth A ShenkmanDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, 2004 Mowry Road, PO Box 100177, Gainesville, FL, 32610, USA.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Florida Department of Health 4KB16NCATS NIH HHS UL1 TR001427
6 · The paper itself

Abstract

backgroundAccess to direct-to-consumer genetic testing services has increased in recent years. However, disparities in knowledge and awareness of these services are not well documented. We examined awareness of genetic testing services by rural/urban and racial/ethnic status.

methodsAnalyses were conducted using pooled cross-sectional data from 4 waves (2011-2014) of the Health Information National Trends Survey (HINTS). Descriptive statistics compared sample characteristics and information sources by rural/urban residence. Logistic regression was used to examine the relationship between geography, racial/ethnic status, and awareness of genetic testing, controlling for sociodemographic characteristics.

resultsOf 13,749 respondents, 16.7% resided in rural areas, 13.8% were Hispanic, and 10.1% were non-Hispanic black. Rural residents were less likely than urban residents to report awareness of genetic testing (OR = 0.74, 95% CI = 0.63-0.87). Compared with non-Hispanic whites, racial/ethnic minorities were less likely to be aware of genetic testing: Hispanic (OR = 0.68, 95% CI = 0.56-0.82); and non-Hispanic black (OR = 0.74, 95% CI = 0.61-0.90).

conclusionsRural-urban and racial-ethnic differences exist in awareness of direct-to-consumer genetic testing. These differences may translate into disparities in the uptake of genetic testing, health behavior change, and disease prevention through precision and personalized medicine.

Indexed as

Direct-To-Consumer Screening and TestingGenetic TestingHealth Knowledge, Attitudes, PracticeRural PopulationUrban PopulationAdolescentAdultAgedBlack or African AmericanCross-Sectional StudiesEthnicityFemaleHealthcare DisparitiesHealth SurveysHispanic or LatinoHumansGenetic testingHealth disparitiesRural health

Identifiers

PMID29471813
PMCPMC5824539

What OpenQuestion holds

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LicenceCC BY
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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.