Evidence map›Paper›PMID 38733246›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2024

Health care utilization and behavior changes after workplace genetic testing at a large US health care system.

Elizabeth Charnysh, Subhamoy Pal, Jonathan M Reader, Wendy R Uhlmann, Sarah McCain, Kunal Sanghavi, Drew Blasco, Rachael Brandt, William Gregory Feero, Rebecca Ferber and 6 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

16 authors.

Elizabeth CharnyshThe Jackson Laboratory for Genomic Medicine, Farmington, CT.
Subhamoy PalDepartment of Neurology, University of Michigan School of Medicine, Ann Arbor, MI.
Jonathan M ReaderDepartment of Neurology, University of Michigan School of Medicine, Ann Arbor, MI.
Wendy R UhlmannDepartments of Internal Medicine and Human Genetics, University of Michigan School of Medicine, Ann Arbor, MI.
Sarah McCainDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI.
Kunal SanghaviThe Jackson Laboratory for Genomic Medicine, Farmington, CT.
Drew BlascoDepartment of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, Las Vegas, NV.
Rachael BrandtThomas Jefferson University, Philadelphia, PA.
William Gregory FeeroMaine Dartmouth Family Medicine Residency, Augusta, ME.
Rebecca FerberDepartments of Internal Medicine and Human Genetics, University of Michigan School of Medicine, Ann Arbor, MI.
Veda N GiriYale School of Medicine and Yale Cancer Center, New Haven, CT.
Katherine HendyDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI.
Anya E R PrinceUniversity of Iowa College of Law, Iowa City, IA.
Charles LeeThe Jackson Laboratory for Genomic Medicine, Farmington, CT. Electronic address: charles.lee@jax.org.
J Scott RobertsDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI. Electronic address: jscottr@umich.edu.
INSIGHT @ Work Consortium

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Research Education ComponentP30AG072931 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Henry L Paulson · 2021 to 2026
$26.5M
Genetic Counselors and Workplace Genomic TestingR01HG010679 · NHGRI · JACKSON LABORATORY · PI LEE, CHARLES, ROBERTS, SCOTT · 2020 to 2023
$3.7M
NCATS NIH HHS UL1 TR001863NHGRI NIH HHS R01 HG010679NIA NIH HHS P30 AG072931
6 · The paper itself

Abstract

purposeThis study explored employee health behavior changes and health care utilization after workplace genetic testing (wGT). Wellness-program-associated wGT seeks to improve employee health, but the related health implications are unknown.

methodsEmployees of a large US health care system offering wGT (cancer, heart disease, and pharmacogenomics [PGx]) were sent electronic surveys. Self-reported data from those who received test results were analyzed. Descriptive statistics characterized responses, whereas logistic regression analyses explored correlates of responses to wGT.

results53.9% (n = 418/776) of respondents (88.3% female, mean age = 44 years) reported receiving wGT results. 12.0% (n = 48/399) received results indicating increased risk (IR) of cancer, 9.5% (n = 38/398) had IR of heart disease, and 31.4% (n = 125/398) received informative PGx results. IR results for cancer and/or heart disease (n = 67) were associated with health behavior changes (adjusted odds ratio: 3.23; 95% CI 1.75, 6.13; P < .001) and health care utilization (adjusted odds ratio: 8.60; 95% CI 4.43, 17.5; P < .001). Informative PGx results (n = 125) were associated with medication changes (PGx-informative: 15.2%; PGx-uninformative: 4.8%; P = .002).

conclusionThis study explored employee responses to wGT, contributing to the understanding of the ethical and social implications of wGT. Receiving IR results from wGT may promote health behavior changes and health care utilization in employees.

Indexed as

Genetic TestingHealth BehaviorWorkplaceAdultDelivery of Health CareFemaleHeart DiseasesHumansMaleMiddle AgedNeoplasmsPatient Acceptance of Health CareSurveys and QuestionnairesUnited StatesBehavior changesELSIEmployeesWellness programsWorkplace genetic testing

Identifiers

PMID38733246
PMCPMC11566502

What Socratic 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 Socratic graph.