ArticleAJOB empirical bioethics
Interrogating the Value of Return of Results for Diverse Populations: Perspectives from Precision Medicine Researchers.
Article in AJOB empirical bioethics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- The relationship between uncertainty and trust in genomic medicine and research: A literature review and thematic analysis.European journal of human genetics : EJHG · 2026Review
- The rise of diversity terminology in biomedical research.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- From precision interventions to precision health.Nature communications · 2025Review
- A qualitative study of diversity in precision medicine research: The development and stakeholder assessment of a Diversity Decision Map.Journal of clinical and translational science · 2025Article
- Increasing Diversity, Equity, Inclusion, and Accessibility in Rare Disease Clinical Trials.Pharmaceutical medicine · 2024Review
- Spotlighting Structural Constraints on Decisions About Participation in Genomic and Precision Medicine.AJOB empirical bioethicsArticle
- Misaligned Expectations: Motivations of Medically Underserved People to Enroll in the All of Us Research Program.Ethics & human researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundOver the last decade, the return of results (ROR) in precision medicine research (PMR) has become increasingly routine. Calls for individual rights to research results have extended the "duty to report" from clinically useful genetic information to traits and ancestry results. ROR has thus been reframed as inherently beneficial to research participants, without a needed focus on who benefits and how. This paper addresses this gap, particularly in the context of PMR aimed at increasing participant diversity, by providing investigator and researcher perspectives on and questions about the assumed value of ROR in PMR.
methodsSemi-structured interviews with a purposive sample of investigators and researchers across federally funded PMR studies in three national consortia, as well as observations of study activities, focused on how PM researchers conceptualize diversity and implement inclusive practices across research stages, including navigating ROR.
resultsInterviewees (1) validated the value of ROR as a benefit of PMR, while others (2) questioned the benefit of clinically actionable results to individuals in the absence of sufficient resources for translating findings into health care for diverse and disadvantaged populations; (3) expressed uncertainties in applying the presumed value of ROR as a benefit for
conclusionsConceptualizations of diversity and inclusion among PM researchers and investigators raise unique ethical questions where unexamined assumptions of the value of ROR inform study recruitment efforts to enroll minoritized and under-represented populations. A lack of consideration for resources and infrastructure necessary to translate ROR into actionable information may hinder trustworthy community-research relationships. Thus, we argue for a more intentional interrogation of ROR practices as an offer of benefit and for whom.
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Registered trials
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.