Evidence map›Paper›PMID 42108209›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2026

Exploring patient motivations and preferences for medical data sharing with researchers: a simulation study using the iAgree platform.

Michelle Sophie Keller, An T Nguyen, Chloe Leder, Yunan Chen, Brad Morse, Lisa M Schilling, Di Hu, Spencer SooHoo, Lucila Ohno-Machado

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Michelle Sophie KellerLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, United States.ORCID 0000-0002-8157-7586
An T NguyenDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, United States.
Chloe LederLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, United States.
Yunan ChenDepartment of Informatics, Donald Bren School of Information & Computer Sciences, University of California-Irvine, Irvine, CA, 92697, United States.
Brad MorseDivision of General Internal Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 90048, United States.
Lisa M SchillingDivision of General Internal Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 90048, United States.
Di HuDepartment of Informatics, Donald Bren School of Information & Computer Sciences, University of California-Irvine, Irvine, CA, 92697, United States.
Spencer SooHooDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, United States.
Lucila Ohno-MachadoDepartment of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, 06520-8230, United States.ORCID 0000-0002-8005-7327

Funding

iAGREE: A Multi-Center, Networked Patient Consent StudyR01HG011066 · NHGRI · YALE UNIVERSITY · PI OHNO-MACHADO, LUCILA · 2020 to 2024
$4.2M
National Human Genome Research Institute of the National Institutes of Health R01HG011066NHGRI NIH HHS R01 HG011066NIH HHS R01HG011066
6 · The paper itself

Abstract

objectiveThis study explores patient motivations and preferences for sharing medical data with researchers using the iAgree platform. We examine how study characteristics, including data type requested and data-sharing arrangements, influence consent decisions, and assess the role of demographic factors, privacy concerns, and perceived benefits in shaping data-sharing behavior. MATERIALS AND

methodsWe conducted a mixed-methods study with 527 US adults (≥18 years) recruited via advisory boards, social media, clinics, and newsletters. Participants completed 3 of 4 simulated studies on iAgree, each varying by data elements requested and data-sharing scope. Participants provided consent and data-sharing decisions and completed a post-simulation survey capturing demographics, data-sharing motivations, privacy concerns, and patient activation. We used logistic regressions to examine associations between demographics, privacy concerns, and patient activation and: (1) consent status and (2) willingness to share particular data elements. Finally, we applied thematic analysis to open-ended responses.

resultsConsent status did not significantly vary by data type or study design. However, participants citing altruism, personal benefit, and patient solidarity were more likely to share data. Higher privacy concerns were linked to lower willingness to share family health and mental health information. Participants with higher patient activation were also less likely to share data. DISCUSSION: Demographic factors were not significantly associated with consent or willingness to share data, countering common assumptions about disparities in sharing preferences.

conclusionAltruism and perceived benefit drive willingness to share health data, while privacy concerns and patient activation may reduce it, emphasizing the need for patient-centered, transparent consent models.

Indexed as

Information DisseminationMotivationPatient PreferenceAdolescentAdultAgedComputer SimulationConfidentialityFemaleHumansInformed ConsentMaleMiddle AgedPatient ParticipationPrivacyResearch Personnelcomputerizedhealth information exchangeinformed consentmedical records systemspatient participationprivacy

Identifiers

PMID42108209
PMCPMC13245202

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.