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Foundational guidelines for enhancing neurotechnology research and development through end-user involvement.

Published version
Peer-reviewed

Repository DOI


Change log

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Abstract

Neurotechnologies are increasingly becoming integrated with our everyday lives, our bodies and our mental states. As the popularity and impact of neurotechnology grows, so does our responsibility to ensure we understand its particular implications on its end users, as well as broader ethical and societal implications. There are many different terms and frameworks to articulate the concept of involving end users in the technology development lifecycle, for example: 'Public and Patient Involvement and Engagement' (PPIE), 'lived experience', 'co-design' or 'co-production'. The objective of this tutorial is to utilise the PPIE framework to develop clear guidelines for implementing a robust involvement process of current and future end-users in neurotechnology, with emphasis on patient involvement. After an introduction that coveys the tangible and conceptual benefits of user involvement, we first guide the reader to develop a general strategy towards setting up their own PPIE process. We then help the reader map out their relevant stakeholders and provide advice on how to consider user diversity and representation. We also provide advice and tools on how to quantify the outcomes of the engagement. We consolidate advice from various online sources to orient individual teams (and their funders) to carve up their own approach to meaningful involvement. Key outputs include a stakeholder mapping tool, methods to measure the impact of engagement, and a structured checklist for transparent reporting. Enabling end-users and other stakeholders to participate in the development of neurotechnology, even at its earliest stages of conception, will help us better navigate our design around ethical, social, and usability considerations, and deliver more impactful technologies. The overall aim is the establishment of gold-standard methodologies for ensuring that patient and public insights are at the forefront of our scientific inquiry and product development.

Description

Acknowledgements: All authors gratefully acknowledge the funding support from the EPSRC/MRC-funded Neuromod+ and Closed-loop Neural Interface Technologies (CloseNIT) Network+. AG acknowledges support from the Royal Commission for the Exhibition of 1851 and the L’Oréal-UNESCO UK and Ireland For Women in Science Rising Talent Programme. TRM was supported by the Wellcome Trust (215575/Z/19/Z) and the Medical Research Council (MC_UU_00030/10). TdSC is funded by the NIHR Newcastle Biomedical Research Centre awarded to the Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle University and Cumbria, Northumberland, Tyne and Wear Foundation Trust. The authors would like to extend our sincere gratitude to Dr Karen Rommelfanger (Institute of Neuroethics), Dr Antonio Valentin (King’s College London), Neil Roberts (Science and Engineering Health Technologies Alliance, SEHTA), Rebecca Woodcock (NIHR HealthTech Research Centre MindTech), Vanessa Pinfold (The McPin Foundation), Annabel Walsh (The McPin Foundation), Prof Sian Robinson (Newcastle University) and Chris Gibbs (Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust) for their valuable feedback on earlier versions of this manuscript. Their insights and suggestions were instrumental in refining the content and enhancing the overall quality of our work. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.

Journal Title

J Neural Eng

Conference Name

Journal ISSN

1741-2560
1741-2552

Volume Title

22

Publisher

IOP Publishing

Rights and licensing

Except where otherwised noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/
Sponsorship
MRC (MC_UU_00030/10)