Evidence map›Paper›PMID 38738530›Full record

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

All of Us participant perspectives on the return of value in research.

Jennifer Richmond, Jennifer Cunningham-Erves, Benjamin Givens, Andrew Guide, Lottie K Barnes, Alecia Malin Fair, Selena McCoy Carpenter, Qingxia Chen, Karriem S Watson, Elizabeth G Cohn and 1 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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Optimizing participant and community engagement in cancer genomic sequencing research.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  4. Review
  5. Article
  6. 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

11 authors.

Jennifer RichmondDivision of Public Health Sciences, Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC.
Jennifer Cunningham-ErvesDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, TN.
Benjamin GivensVibrent Health, Larkspur, CA.
Andrew GuideDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN.
Lottie K BarnesCommunity Health Coalition, Durham, NC.
Alecia Malin FairDivision of Geriatric Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Selena McCoy CarpenterOffice of Health Equity, Vanderbilt University Medical Center, Nashville, TN.
Qingxia ChenDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
Karriem S WatsonAll of Us Research Program, Bethesda, MD.
Elizabeth G CohnNorthwell, New Hyde Park, NY.
Consuelo H WilkinsDivision of Geriatric Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN. Electronic address: consuelo.h.wilkins@vumc.org.

Funding

All of Us Research Program Data and Research CenterOT2OD035404 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Melissa Basford, DAVID GLAZER · 2023 to 2026
$210.4M
Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
Learning Health System training program: PROgRESS--Patient/ pRactice Outcomes and Research in Effectiveness and Systems ScienceT32HS026122 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GRIJALVA, CARLOS G, ROUMIE, CHRISTIANNE L. · 2018 to 2024
$3.5M
Engaging Diverse Stakeholders in Genomic/Precision Medicine Research: The All of Us Research Program Engagement CoreOT2OD035980 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WILKINS, CONSUELO HOPKINS · 2023 to 2024
$2.8M
Developing a Trustworthy Multilevel Intervention to Improve Lung Cancer ScreeningR00CA277366 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RICHMOND, JENNIFER ANN · 2023 to 2025
$701k
Developing a Trustworthy Multilevel Intervention to Improve Equity in Lung Cancer ScreeningK99CA277366 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICHMOND, JENNIFER ANN · 2023 to 2023
$109k
AHRQ HHS T32 HS026122NCATS NIH HHS UL1 TR002243NCI NIH HHS K99 CA277366NCI NIH HHS L60 CA264691NCI NIH HHS R00 CA277366NIH HHS OT2 OD035404NIH HHS OT2 OD035980
6 · The paper itself

Abstract

purposeTo understand participant preferences for receiving specific types of research information, whether information preferences vary across sociodemographic groups, and the types of health providers participants could access to understand returned information.

methodsAll of Us Research Program participants completed a value of returning research information survey. Stratified sampling was implemented to enhance participant diversity and avoid noncoverage. We used weighted multivariable logistic regression to evaluate associations between the most valuable information types, access to providers, and sociodemographic variables.

resultsParticipants (N = 20,405) were diverse in their race/ethnicity (eg, 52% were White, 18% were Hispanic/Latino or Spanish, 3% were Asian, and 20% were Black or African American). Most participants (78.6%) valued information about their risk of serious genetic diseases with available treatment. Primary care physicians, specialists, and genetic counselors were the top providers that participants could access for help understanding returned information. Information preferences and provider access varied across sociodemographic groups. For example, as income levels increased, the odds of placing value on genetic results indicating risk of serious disease with available treatment increased when compared with the lowest income levels (P value < .001).

conclusionAlthough genetic information was most valuable to participants, preferences about specific information types varied across sociodemographic groups.

Indexed as

Genetic CounselingAdolescentAdultAgedEthnicityFemaleHumansMaleMiddle AgedPatient PreferenceRacial GroupsSurveys and QuestionnairesUnited StatesYoung AdultEngagementHealth equityParticipant perspectivesPrecision medicineReturn of value

Identifiers

PMID38738530
PMCPMC11298296

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.