ArticleLearning health systems2019
Commercial use of health data-A public "trial" by citizens' jury.
Article in Learning health systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient and Public Willingness to Share Personal Health Data for Third-Party or Secondary Uses: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Available guidance for ethical challenges in learning health systems: an integrative literature review.Health research policy and systems · 2026Review
- Case study: Developing resources to facilitate public conversations about the use of linked address-based data for research.International journal of population data science · 2026Article
- Developing Digital Mental Health Tools With Culturally Diverse Parents and Young People: Qualitative User-Centered Design Study.JMIR pediatrics and parenting · 2025Article
- A scoping review of ethical aspects of public-private partnerships in digital health.NPJ digital medicine · 2025Article
- Lessons for a learning health system: Effectively communicating to patients about research with their health information and biospecimens.Learning health systems · 2025Article
- The European Health Data Space: an opportunity to strengthen citizen rights and engage citizens in health data governance.Frontiers in medicine · 2025Article
- Attitudes of blood and plasma donors towards biobanking for longitudinal health research.PloS one · 2025Article
- Patients' and Members of the Public's Wishes Regarding Transparency in the Context of Secondary Use of Health Data: Scoping Review.Journal of medical Internet research · 2023Article
- The Science of Learning Health Systems: Scoping Review of Empirical Research.JMIR medical informatics · 2022Article
- Trading off accuracy and explainability in AI decision-making: findings from 2 citizens' juries.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Deep Learning With Anaphora Resolution for the Detection of Tweeters With Depression: Algorithm Development and Validation Study.JMIR mental health · 2021Article
- Sharing administrative health data with private industry: A report on two citizens' juries.Health expectations : an international journal of public participation in health care and health policy · 2021Article
- A Social Media Campaign (#datasaveslives) to Promote the Benefits of Using Health Data for Research Purposes: Mixed Methods Analysis.Journal of medical Internet research · 2021Article
- Trust, security and public interest: striking the balance A narrative review of previous literature on public attitudes towards the sharing, linking and use of administrative data for research.International journal of population data science · 2020Article
- Commercial use of health data-A public "trial" by citizens' jury.Learning health systems · 2019Article
- A Ledger of Me: Personalizing Healthcare Using Blockchain Technology.Frontiers in medicine · 2019Review
- A profile of the Grampian Data Safe Haven, a regional Scottish safe haven for health and population data research.International journal of population data science · 2019Article
- The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice.Academic pathologyArticle
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSurveys suggest a dichotomy in how citizens view research for public benefit and research for commercial gain. Therefore, a research initiative, such as a learning health system, which works for both public and commercial benefit, may be controversial and lower public trust.
methodsThis study aimed to investigate what informed citizens considered to be appropriate uses of health data in a learning health system and why they made those decisions. Two-paired 4-day juries were run, with different jurors but the same purpose, expert witnesses, and facilitators. Overall, 694 people applied; 36 jurors were selected to match criteria based on demographics and privacy views. Jurors considered whether and why eight exemplars of anonymised patient data were acceptable. The exemplars were either planned initiatives to improve care pathways (Planned Examples) or possible commercial data uses (Potential Examples).
resultsThese citizens' juries found that all Planned and two of the Potential Examples were considered appropriate by most, but not all, jurors because they could deliver public benefit. In general, positive health outcomes for patients were more acceptable than improved efficiency of services for the NHS, although they recognised that the latter also improved health. Jurors had concerns about whether improving efficiency would lead to inequitable distribution or closure of services, based on their existing understanding from media reports. Commercial gain that accrued secondary to this benefit was acceptable, with some jurors becoming more accepting of commercial uses as they understood them better. Prioritising profit, however, was unacceptable, regardless of any governance arrangements.
conclusionsJurors tended to be more accepting of data sharing to both private and public sectors after the jury process. Many jurors accept commercial gain if public benefit is achieved. Some were suspicious of data sharing for efficiency gains. Juries elicited more informed and nuanced judgement from citizens than surveys.
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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.