Evidence map›Paper›PMID 25600375›Full record

ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2015

Public Awareness of Direct-to-Consumer Genetic Tests: Findings from the 2013 U.S. Health Information National Trends Survey.

Tanya Agurs-Collins, Rebecca Ferrer, Allison Ottenbacher, Erika A Waters, Mary E O'Connell, Jada G Hamilton

Abstract read
In one paragraph

Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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
  16. Review
  17. Article
  18. Effect of Superstitious Beliefs and Risk Intuitions on Genetic Test Decisions.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    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

6 authors.

Tanya Agurs-CollinsBehavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA. collinsta@mail.nih.gov.
Rebecca FerrerBehavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.
Allison OttenbacherDr. Susan Love Research Foundation, Santa Monica, CA, USA.
Erika A WatersDivision of Public Health Sciences, Department of Surgery, Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA.
Mary E O'ConnellBehavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.
Jada G HamiltonDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Intramural NIH HHS Z99 CA999999NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Although the availability of direct-to-consumer (DTC) genetic testing has increased in recent years, the general public's awareness of this testing is not well understood. This study examined levels of public awareness of DTC genetic testing, sources of information about testing, and psychosocial factors associated with awareness of testing in the USA. Data were obtained from the nationally representative 2013 U.S. Health Information National Trends Survey. Guided by a social-cognitive conceptual framework, univariable and multivariable logistic regressions were conducted to identify factors associated with awareness of DTC genetic tests. Of 3185 participants, 35.6% were aware of DTC genetic tests, with the majority learning about these tests through radio, television, and the Internet. In the final adjusted model, participants with annual incomes of $99,999 or less had lower odds of being aware of DTC genetic testing (ORs ranging from 0.46-0.61) than did those participants with incomes of $100,000 or more. The odds of awareness of DTC genetic tests were significantly higher for those who actively seek cancer information (OR=1.91, 95% CI=1.36-2.69), use the Internet (OR=1.81, 95% CI=1.05-3.13), and have high numeracy skills (OR=1.67, 95% CI=1.17-2.38). It will be critical for healthcare researchers and practitioners to understand predictors and consequences of the public's awareness of DTC genetic tests, as well as how such awareness may translate into DTC genetic testing uptake, health behavior change, and ultimately disease prevention.

Indexed as

Consumer Health InformationHealth BehaviorHealth Knowledge, Attitudes, PracticePatient Education as TopicAdolescentAdultAgedCommunity ParticipationFemaleGenetic TestingHumansMaleMiddle AgedSurveys and QuestionnairesTime FactorsYoung AdultBehavioral researchDirect-to-consumer genetic testingHINTSPsychosocial

Identifiers

PMID25600375
PMCPMC4508242

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.