ArticleBMC medical ethics2023
Identifying facilitators of and barriers to the adoption of dynamic consent in digital health ecosystems: a scoping review.
Article in BMC medical ethics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Blockchain-Based Dynamic and Revocable Consent for Secondary Health Data Use: Systematic Review.JMIR medical informatics · 2026Pooled it
- Informed Consent for Pediatric Lyme Meningitis Study: In-Person Versus Remote Approach.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026Article
- Digital Literacy and Interpersonal Trust as Predictors of Willingness to Share Patient-Generated Health Data Among Korean Internet Users: Cross-Sectional Study Using Privacy Calculus and Communication Privacy Management Theories.Journal of medical Internet research · 2026Article
- Management discussion of laws and regulations on human genetic resources in China: a scoping review.BMC medical ethics · 2026Article
- "Because everybody's different": Co-designing body donor program consent processes.Anatomical sciences education · 2026Article
- Understanding digital inclusion through the transformation of services and users: a narrative review and novel framework.BMJ digital health & AI · 2026Review
- Enabling secure and self determined health data sharing and consent management.NPJ digital medicine · 2025Review
- Relational Ethics in the Administration of Healthcare Technology: AI, Automation and Proper Distance.Sociology of health & illness · 2025Article
- Opportunities and challenges of a dynamic consent-based application: personalized options for personal health data sharing and utilization.BMC medical ethics · 2024Article
- The potential for artificial intelligence to transform healthcare: perspectives from international health leaders.NPJ digital medicine · 2024Review
- Non-Fungible Tokens for Organoids: Decentralized Biobanking to Empower Patients in Biospecimen Research.Blockchain in healthcare today · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConventional consent practices face ethical challenges in continuously evolving digital health environments due to their static, one-time nature. Dynamic consent offers a promising solution, providing adaptability and flexibility to address these ethical concerns. However, due to the immaturity of the concept and accompanying technology, dynamic consent has not yet been widely used in practice. This study aims to identify the facilitators of and barriers to adopting dynamic consent in real-world scenarios.
methodsThis scoping review, conducted in December 2022, adhered to the PRISMA Extension for Scoping Reviews guidelines, focusing on dynamic consent within the health domain. A comprehensive search across Web of Science, PubMed, and Scopus yielded 22 selected articles based on predefined inclusion and exclusion criteria.
resultsThe facilitators for the adoption of dynamic consent in digital health ecosystems were the provision of multiple consent modalities, personalized alternatives, continuous communication, and the dissemination of up-to-date information. Nevertheless, several barriers, such as consent fatigue, the digital divide, complexities in system implementation, and privacy and security concerns, needed to be addressed. This study also investigated current technological advancements and suggested considerations for further research aimed at resolving the remaining challenges surrounding dynamic consent.
conclusionsDynamic consent emerges as an ethically advantageous method for digital health ecosystems, driven by its adaptability and support for continuous, two-way communication between data subjects and consumers. Ethical implementation in real-world settings requires the development of a robust technical framework capable of accommodating the diverse needs of stakeholders, thereby ensuring ethical integrity and data privacy in the evolving digital health landscape.
Indexed as
Identifiers
What OpenQuestion holds
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.