Evidence map›Paper›PMID 34006284›Full record

ArticleBMC medical ethics2021

Citizens' views on sharing their health data: the role of competence, reliability and pursuing the common good.

Minerva C Rivas Velarde, Petros Tsantoulis, Claudine Burton-Jeangros, Monica Aceti, Pierre Chappuis, Samia Hurst-Majno

Open access · goldAbstract read
In one paragraph

Article in BMC medical ethics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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  11. Review
  12. Article
  13. 21st Century Cures Act: ethical recommendations for new patient-facing products.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  14. Article
  15. The Challenges of Big Data for Research Ethics Committees: A Qualitative Swiss Study.Journal of empirical research on human research ethics : JERHRE
    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

6 authors at 1 institution in 1 country.

Minerva C Rivas VelardeFaculty of Medicine, Institute Ethics History Humanities, University of Geneva, CMU/1 rue Michel Servet, 1211, Genève 4, Switzerland. Minerva.rivas@unige.ch.ORCID 0000-0003-3747-3306
Petros TsantoulisDepartment of Oncology, Geneva University Hospital, Rue Gabrielle Perret-Gentil 4, 1205, Genève, Switzerland.
Claudine Burton-JeangrosDépartement de Sociologie, University of Geneva, Bd. du Pont-d'Arve 40, 1211, Genève 4, Switzerland.
Monica AcetiInstitute of Sociological Research, University of Geneva, Bd. du Pont-d'Arve 40, 1211, Genève 4, Switzerland.
Pierre ChappuisOncogenetics and Cancer Prevention Unit, Geneva University Hospital, Rue Gabrielle-Perret-Gentil 4, 1205, Genève, Switzerland.
Samia Hurst-MajnoFaculty of Medicine, Department of Community Medicine, University of Geneva, CMU 1 rue Michel-Servet, 1211, Genève 4, Switzerland.
University of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this article, we address questions regarding how people consider what they do or do not consent to and the reasons why. This article presents the findings of a citizen forum study conducted by the University of Geneva in partnership with the Geneva University Hospitals to explore the opinions and concerns of members of the public regarding predictive oncology, genetic sequencing, and cancer.

methodsThis paper presents the results of a citizen forum that included 73 participants. A research tool titled "the mechanics of consent" was designed for this study. This tool is a table encouraging participants to reflect on social and research actors, types of data, and desired levels of control while sharing different types of data with different actors. Participants' discussion that led to the completion of each table were audio-recorded, transcribed, and analyzed using thematic analysis.

resultsThe results are a compilation of responses from the mechanics of consent tool divided into two sections; the first presents quantitative results of collective responses regarding attitudes to consent to donate their data. The second section present qualitative findings emerged from the discussion amongst participants. DISCUSSION: Choice and control of personal data is crucial for the public to be able to decide who and how to trust. Key information to be disclosed to potential research participants shall include information about potential risks and benefits; who will be accessing and using their data; as well as assurances that their choice will be respected. Furthermore, researchers ought to make sure they are trustworthy, by acting in a competent, reliable, and honest manner. Governance systems ought to be better equipped to address ethical issues raise by the growing presence of non-traditional research actors, consent of exchanges of data via digital devices and online activity such as social media and fairness of data trading. Finally, informed consent is one of the various elements that contribute to conducting ethical research. More needs to be done to strengthen governance and ensure adequate protection of research participants, particularly to address issues related to predictive health analytics.

Indexed as

Informed ConsentSocial JusticeAttitudeHumansReproducibility of ResultsTrust

Identifiers

PMID34006284
PMCPMC8130128
OpenAlexW3162703723

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.