Evidence map›Paper›PMID 40322632›Full record

ArticleJAMIA open2025

Integrating public preferences to overcome racial disparities in research: findings from a US survey on enhancing trust in research data-sharing practices.

Stephanie Niño de Rivera, Yihong Zhao, Shalom Omollo, Sarah Eslami, Natalie Benda, Yashika Sharma, Meghan Reading Turchioe, Marianne Sharko, Lydia S Dugdale, Ruth Masterson Creber

Abstract read
In one paragraph

Article in JAMIA open, 2025. 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

10 authors.

Stephanie Niño de RiveraColumbia University School of Nursing, Columbia University Irving Medical Center, New York, NY 10032, United States.
Yihong ZhaoColumbia University School of Nursing, Columbia University Irving Medical Center, New York, NY 10032, United States.
Shalom OmolloColumbia University School of Nursing, Columbia University Irving Medical Center, New York, NY 10032, United States.
Sarah EslamiColumbia University School of Nursing, Columbia University Irving Medical Center, New York, NY 10032, United States.
Natalie BendaColumbia University School of Nursing, Columbia University Irving Medical Center, New York, NY 10032, United States.
Yashika SharmaColumbia University School of Nursing, Columbia University Irving Medical Center, New York, NY 10032, United States.ORCID https://orcid.org/0000-0003-0357-8249
Meghan Reading TurchioeColumbia University School of Nursing, Columbia University Irving Medical Center, New York, NY 10032, United States.ORCID https://orcid.org/0000-0002-6264-6320
Marianne SharkoWeill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY 10065, United States.ORCID https://orcid.org/0000-0002-1103-7525
Lydia S DugdaleCenter for Clinical Medical Ethics, Columbia University Vagelos College of Physicians & Surgeons, New York, NY 10032, United States.
Ruth Masterson CreberColumbia University School of Nursing, Columbia University Irving Medical Center, New York, NY 10032, United States.ORCID https://orcid.org/0000-0002-4238-9902

Funding

Strengthening Healthcare and Research Engagement through Data Sharing: SHARER01NS123639 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI Mario FL Gaudino, Ruth Marie Masterson Creber · 2021 to 2026
$4.4M
Randomized comparison of the clinical Outcome of single versus Multiple Arterial grafts: Quality of Life (ROMA:QOL)R01HL152021 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI GAUDINO, MARIO FL, MASTERSON CREBER, RUTH MARIE · 2020 to 2024
$4.1M
Improve the Meaning of Patient Reported Outcomes to Evaluate Effectiveness for Cardiac Care" (IMPROVE-Cardiac Care)R01HL161458 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MASTERSON CREBER, RUTH MARIE · 2022 to 2025
$2.6M
Data-driven shared decision-making to reduce symptom burden in atrial fibrillationR00NR019124 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TURCHIOE, MEGHAN READING · 2022 to 2024
$732k
NHLBI NIH HHS R01 HL152021NHLBI NIH HHS R01 HL161458NINDS NIH HHS R01 NS123639NINR NIH HHS R00 NR019124
6 · The paper itself

Abstract

Objectives: Data-sharing policies are rapidly evolving toward increased data sharing. However, participants' perspectives are not well understood and could have an adverse impact on participation in research. We evaluated participants' preferences for sharing specific types of data with specific groups, and strategies to enhance trust in data-sharing practices. Materials and Methods: In March 2023, we conducted a nationally representative online survey with 610 US adults and used logistic regression models to assess sociodemographic differences in their willingness to share different types of data. Results: Our findings highlight notable racial disparities in willingness to share research data with external entities, especially health policy and public health organizations. Black participants were significantly less likely to share most health data with public health organizations, including mental health (odds ratio [OR]: 0.543, 95% CI, 0.323-0.895) and sexual health/fertility information (OR: 0.404, 95% CI, 0.228-0.691), compared to White participants. Moreover, 63% of participants expressed that their trust in researchers would improve if given control over the data recipients. Discussion: Participants exhibit reluctance to share specific types of personal research data, emphasizing strong preferences regarding external data access. This highlights the need for a critical reassessment of current data-sharing policies to align with participant concerns. Conclusion: It is imperative for data-sharing policies to integrate diverse patient viewpoints to mitigate risk of distrust and a potential unintended consequence of lower participation among racial and ethnic minority participants in research.

Indexed as

data sharingpatient participationpersonal autonomytransparencytrust

Identifiers

PMID40322632
PMCPMC12047078

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.