Dynamic Consent: An Evaluation and Reporting Framework
Megan Prictor, Megan A. Lewis, Ainsley J. Newson, Matilda Haas, Sachiko Baba, Hannah Kim, Minori Kokado, Jusaku Minari, Fruzsina Molnár-Gábor, Beverley Yamamoto, Jane Kaye, Harriet J. A. Teare
Journal of Empirical Research of Human Research Ethics, 15 November 2019
Dynamic consent (DC) is an approach to consent that enables people, through an interactive digital interface, to make granular decisions about their ongoing participation. This approach has been explored within biomedical research, in fields such as biobanking and genomics, where ongoing contact is required with participants. It is posited that DC can enhance decisional autonomy and improve researcher–participant communication. Currently, there is a lack of evidence about the measurable effects of DC-based tools. This article outlines a framework for DC evaluation and reporting. The article draws upon the evidence for enhanced modes of informed consent for research as the basis for a logic model. It outlines how future evaluations of DC should be designed to maximize their quality, replicability, and relevance based on this framework. Finally, the article considers best-practice for reporting studies that assess DC, to enable future research and implementation to build upon the emerging evidence base.