Evidence map›Paper›PMID 42888479›Full record

ArticleMolecular genetics & genomic medicine2026

To Test or Not to Test: A Real-World Study of Employee Views and Decision-Making for Genetic Testing in the Workplace.

Katherine Hendy, Rebecca Ferber, Subhamoy Pal, Sarah McCain, Alyx Vogle, Jonathan M Reader, Elizabeth Charnysh, W Gregory Feero, Anya E R Prince, Kunal Sanghavi and 7 more

Abstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

17 authors.

Katherine HendyDepartment of Health Behavior & Health Equity, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-4128-1649
Rebecca FerberDepartment of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, Michigan, USA.
Subhamoy PalDepartment of Neurology, University of Michigan School of Medicine, Ann Arbor, Michigan, USA.
Sarah McCainDepartment of Health Behavior & Health Equity, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0009-0006-7898-5817
Alyx VogleDepartment of Cardiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0009-0006-3441-6866
Jonathan M ReaderDepartment of Neurology, University of Michigan School of Medicine, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-3245-9196
Elizabeth CharnyshThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA.ORCID https://orcid.org/0000-0003-2444-2009
W Gregory FeeroMaine-Dartmouth Family Medicine Residency, Augusta, Maine, USA.
Anya E R PrinceUniversity of Iowa College of Law, Iowa City, Iowa, USA.
Kunal SanghaviThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA.ORCID https://orcid.org/0000-0001-7759-3041
Alexandra TruhlarThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA.ORCID https://orcid.org/0000-0002-1641-7017
Drew BlascoDepartment of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, Las Vegas, Nevada, USA.
Veda N GiriYale School of Medicine and Yale Cancer Center, New Haven, Connecticut, USA.
Charles LeeThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA.ORCID https://orcid.org/0000-0001-7317-6662
J Scott RobertsDepartment of Health Behavior & Health Equity, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-1083-8299
Wendy R UhlmannDepartments of Internal Medicine and Human Genetics, University of Michigan School of Medicine, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-4243-438X
INSIGHT @ Work Consortium

Funding

Genetic Counselors and Workplace Genomic TestingR01HG010679 · NHGRI · JACKSON LABORATORY · PI LEE, CHARLES, ROBERTS, SCOTT · 2020 to 2023
$3.7M
National Human Genome Research Institute of the National Institutes of Health R01-HG010679NHGRI NIH HHS R01 HG010679
6 · The paper itself

Abstract

backgroundThis study explored employees' decision-making processes and perspectives on workplace genetic testing (wGT), comparing those who had not participated (Non-Testers) with those who had participated (Testers) in wGT.

methodsEmployees at a large US healthcare system offering wGT were recruited via email and onsite advertising and surveyed. The web survey assessed respondent demographics, information-seeking activities, and perceived benefits and risks of wGT. Descriptive statistics, Chi-square analyses, and multivariable logistic regression compared the similarities and differences between Non-Testers and Testers on key study outcomes.

resultsSurvey respondents included 358 Non-Testers (80.7% female; 69.8% White, non-Hispanic) and 418 Testers (88.3% female; 80.6% White, non-Hispanic). Demographics associated with lower odds of being a Tester included self-reporting as Black, non-Hispanic (p = 0.001), male (p = 0.004), and less than one year of employment (p < 0.001). Non-Testers endorsed more perceived risks regarding wGT (e.g., privacy, discrimination) than Testers, while Testers more commonly endorsed perceived benefits, including lack of cost and potential healthcare benefits. Non-Testers engaged in fewer information-seeking activities than Testers. Non-Testers' most common decision-making activity was talking with family (28.9%), and Testers' most common activity was engaging with the testing company's information (50.0%).

conclusionThis is the first study to examine wGT decision-making in a real-world setting. To address the perceived risks of Non-Testers and ensure equitable access, it may be necessary to develop educational materials that review current legal protections and limitations, as well as potential health benefits of genetic testing. Outreach strategies providing such education must address different types of information seeking to ensure perceived risks are addressed.

Indexed as

Decision MakingGenetic TestingWorkplaceAdultFemaleHumansMaleMiddle AgedSurveys and Questionnairesdecision‐makingdirect‐to‐consumer (DTC) genetic testingethical issuesinformation seekingworkplace genetic testing (wGT)workplace wellness programs

Identifiers

PMID42888479
PMCPMC13675513

What OpenQuestion holds

Textmetadata
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.