ArticleBMJ open2021
Public and patient involvement in health data governance (DATAGov): protocol of a people-centred, mixed-methods study on data use and sharing for rare diseases care and research.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Ethical Considerations for Clinical Data Sharing in Craniofacial Research: Recommendations From a Multidisciplinary Working Group.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2026Article
- Co-creating mental health promotion and prevention interventions with groups in vulnerable situations in Europe: a mixed-methods study protocol for co-creation implementation and participatory evaluation.Health research policy and systems · 2025Article
- The European Health Data Space: an opportunity to strengthen citizen rights and engage citizens in health data governance.Frontiers in medicine · 2025Article
- Public Involvement and Engagement in Big Data Research: Scoping Review.Journal of participatory medicine · 2024Article
- Delivering Digital Health Solutions that Patients Need: A Call to Action.Therapeutic innovation & regulatory science · 2024Article
- Generalisable Overview of Study Risk for Lead Investigators Needing Guidance (GOSLING): A data governance risk tool.PloS one · 2024Article
- In safe hands: child health data storage, linkage and consent for use.Health promotion international · 2023Article
- Expanding citizen engagement in the secondary use of health data: an opportunity for national health data access bodies to realise the intentions of the European health data space.Archives of public health = Archives belges de sante publique · 2023Article
- Commitments for Ethically Responsible Sourcing, Use, and Reuse of Patient Data in the Digital Age: Cocreation Process.Journal of medical Internet research · 2023Article
- Assessment of Stakeholder Perceptions and Attitudes Toward Health Data Governance Principles in Botswana: Web-Based Survey.JMIR formative research · 2023Article
- European Health Data Space-An Opportunity Now to Grasp the Future of Data-Driven Healthcare.Healthcare (Basel, Switzerland) · 2022Article
- Benefits and Risks of Sharing Genomic Data for Research: Comparing the Views of Rare Disease Patients, Informal Carers and Healthcare Professionals.International journal of environmental research and public health · 2022Article
- A Community-Led Approach as a Guide to Overcome Challenges for Therapy Research in Congenital Disorders of Glycosylation.International journal of environmental research and public health · 2022Article
- Public Views About Involvement in Decision-Making on Health Data Sharing, Access, Use and Reuse: The Importance of Trust in Science and Other Institutions.Frontiers in public health · 2022Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionInternational policy imperatives for the public and patient involvement in the governance of health data coexist with conflicting cross-border policies on data sharing. This can challenge the planning and implementation of participatory data governance in healthcare services locally. Engaging with local stakeholders and understanding how their needs, values and preferences for governing health data can be articulated with policies made at the supranational level is crucial. This paper describes a protocol for a project that aims to coproduce a people-centred model for involving patients and the public in decision-making processes about the use and sharing of health data for rare diseases care and research. METHODS AND ANALYSIS: This multidisciplinary project draws on an explanatory sequential mixed-methods study. A hospital-based survey with patients, informal carers, health professionals and technical staff recruited at two reference centres for rare diseases in Portugal will be conducted first. The qualitative study will follow consisting of semi-structured interviews and scenario-based workshops with a subsample of the participant groups recruited at baseline. Quantitative data will be analysed using descriptive and inferential statistics. Inductive and deductive approaches will be combined to analyse the qualitative interviews. Data from scenario-based workshops will be iteratively compared using the constant comparison method to identify cross-cutting themes and categories. ETHICS AND DISSEMINATION: The Ethics Committee for Health from the University Hospital Centre São João/Faculty of Medicine of University of Porto approved the study protocol (Ref. 99/19). Research findings will be disseminated at academic conferences and science promotion events, and through public meetings involving patient representatives, practitioners, policy-makers and students, a project website and peer-reviewed journal publications.
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