Public involvement in the governance of population-level biomedical research: unresolved questions and future directions

Article

Erikainen, S., Friesen, P., Rand, L., Jongsma, K., Dunn, M., Sorbie, A., McCoy, M., Bell, J., Burgess, M., Chen, H., Chico, V., Cunningham-Burley, S., Darbyshire, J., Dawson, R., Evans, A., Fahy, N., Finlay, T., Frith, L., Goldenberg, A., Hinton, L., Hoppe, N., Hughes, N., Koenig, B., Lignou, S., McGowan, M., Parker, M., Prainsack, B., Shabani, M., Staunton, C., Thompson, R., Varnai, K., Vayena, E., Williams, O., Williamson, M., Chan, S. and Sheehan, M. 2021. Public involvement in the governance of population-level biomedical research: unresolved questions and future directions. Journal of Medical Ethics. 47 (7), pp. 522-525. https://doi.org/10.1136/medethics-2020-106530
TypeArticle
TitlePublic involvement in the governance of population-level biomedical research: unresolved questions and future directions
AuthorsErikainen, S., Friesen, P., Rand, L., Jongsma, K., Dunn, M., Sorbie, A., McCoy, M., Bell, J., Burgess, M., Chen, H., Chico, V., Cunningham-Burley, S., Darbyshire, J., Dawson, R., Evans, A., Fahy, N., Finlay, T., Frith, L., Goldenberg, A., Hinton, L., Hoppe, N., Hughes, N., Koenig, B., Lignou, S., McGowan, M., Parker, M., Prainsack, B., Shabani, M., Staunton, C., Thompson, R., Varnai, K., Vayena, E., Williams, O., Williamson, M., Chan, S. and Sheehan, M.
Abstract

Population-level biomedical research offers new opportunities to improve population health, but also raises new challenges to traditional systems of research governance and ethical oversight. Partly in response to these challenges, various models of public involvement in research are being introduced. Yet, the ways in which public involvement should meet governance challenges are not well understood. We conducted a qualitative study with 36 experts and stakeholders using the World Café method to identify key governance challenges and explore how public involvement can meet these challenges. This brief report discusses four cross-cutting themes from the study: the need to move beyond individual consent; issues in benefit and data sharing; the challenge of delineating and understanding publics; and the goal of clarifying justifications for public involvement. The report aims to provide a starting point for making sense of the relationship between public involvement and the governance of population-level biomedical research, showing connections, potential solutions and issues arising at their intersection. We suggest that, in population-level biomedical research, there is a pressing need for a shift away from conventional governance frameworks focused on the individual and towards a focus on collectives, as well as to foreground ethical issues around social justice and develop ways to address cultural diversity, value pluralism and competing stakeholder interests. There are many unresolved questions around how this shift could be realised, but these unresolved questions should form the basis for developing justificatory accounts and frameworks for suitable collective models of public involvement in population-level biomedical research governance. [Abstract copyright: © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.]

Keywordsdecision-making, public health ethics, regulation, research ethics
PublisherBioMed Central
JournalJournal of Medical Ethics
ISSN0306-6800
Electronic1473-4257
Publication dates
Online06 Oct 2020
Print24 Jun 2021
Publication process dates
Deposited26 Oct 2020
Submitted29 May 2020
Accepted20 Aug 2020
Output statusPublished
Publisher's version
License
Copyright Statement

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY.

Digital Object Identifier (DOI)https://doi.org/10.1136/medethics-2020-106530
LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/89230

Log in to edit

Download files

Publisher's version
522.full.pdf
License: CC BY 4.0

  • 27
    total views
  • 3
    total downloads
  • 1
    views this month
  • 1
    downloads this month

Export as