The University of Southampton
University of Southampton Institutional Repository

Data sharing in the age of predictive psychiatry: an adolescent perspective

Data sharing in the age of predictive psychiatry: an adolescent perspective
Data sharing in the age of predictive psychiatry: an adolescent perspective
Background: advances in genetics and digital phenotyping in psychiatry have given rise to testing services targeting young people, which claim to predict psychiatric outcomes before difficulties emerge. These services raise several ethical challenges surrounding data sharing and information privacy.

Objectives: this study aimed to investigate young people’s interest in predictive testing for mental health challenges and their attitudes towards sharing biological, psychosocial and digital data for such purpose.

Methods: eighty UK adolescents aged 16–18 years took part in a digital role-play where they played the role of clients of a fictional predictive psychiatry company and chose what sources of personal data they wished to provide for a risk assessment. After the role-play, participants reflected on their choices during a peer-led interview.

Findings: participants saw multiple benefits in predictive testing services, but were highly selective with regard to the type of data they were willing to share. Largely due to privacy concerns, digital data sources such as social media or Google search history were less likely to be shared than psychosocial and biological data, including school grades and one’s DNA. Participants were particularly reluctant to share social media data with schools (but less so with health systems).

Conclusions: emerging predictive psychiatric services are valued by young people; however, these services must consider privacy versus utility trade-offs from the perspective of different stakeholders, including adolescents.

Clinical implications: respecting adolescents’ need for transparency, privacy and choice in the age of digital phenotyping is critical to the responsible implementation of predictive psychiatric services.
child & adolescent psychiatry
1362-0347
69-76
Pavarini, Gabriela
58b03c3d-6bea-4bae-9555-4c08de2d4b49
Yosifova, Aleksandra
aaa4bf37-28bc-4082-ac2b-dab26e8b5f71
Wang, Keying
eada02a1-efe6-44ec-a1fe-91110663035d
Wilcox, Benjamin
91ebf2dc-91f0-40bf-9331-efe8718bf37e
Tomat, Nastja
45bcbb32-e5e7-49c1-a6b7-d31ff42669d3
Lorimer, Jessica
fefab67a-4a6b-4c4d-99e9-ddf6435856ad
Kariyawasam, Lasara
06cbe31c-97c4-4cc7-8a83-fab26ad04325
Pavarini, Gabriela
58b03c3d-6bea-4bae-9555-4c08de2d4b49
Yosifova, Aleksandra
aaa4bf37-28bc-4082-ac2b-dab26e8b5f71
Wang, Keying
eada02a1-efe6-44ec-a1fe-91110663035d
Wilcox, Benjamin
91ebf2dc-91f0-40bf-9331-efe8718bf37e
Tomat, Nastja
45bcbb32-e5e7-49c1-a6b7-d31ff42669d3
Lorimer, Jessica
fefab67a-4a6b-4c4d-99e9-ddf6435856ad
Kariyawasam, Lasara
06cbe31c-97c4-4cc7-8a83-fab26ad04325

Pavarini, Gabriela, Yosifova, Aleksandra, Wang, Keying, Wilcox, Benjamin, Tomat, Nastja, Lorimer, Jessica and Kariyawasam, Lasara (2022) Data sharing in the age of predictive psychiatry: an adolescent perspective. Evidence-Based Mental Health, 25 (2), 69-76. (doi:10.1136/ebmental-2021-300329).

Record type: Article

Abstract

Background: advances in genetics and digital phenotyping in psychiatry have given rise to testing services targeting young people, which claim to predict psychiatric outcomes before difficulties emerge. These services raise several ethical challenges surrounding data sharing and information privacy.

Objectives: this study aimed to investigate young people’s interest in predictive testing for mental health challenges and their attitudes towards sharing biological, psychosocial and digital data for such purpose.

Methods: eighty UK adolescents aged 16–18 years took part in a digital role-play where they played the role of clients of a fictional predictive psychiatry company and chose what sources of personal data they wished to provide for a risk assessment. After the role-play, participants reflected on their choices during a peer-led interview.

Findings: participants saw multiple benefits in predictive testing services, but were highly selective with regard to the type of data they were willing to share. Largely due to privacy concerns, digital data sources such as social media or Google search history were less likely to be shared than psychosocial and biological data, including school grades and one’s DNA. Participants were particularly reluctant to share social media data with schools (but less so with health systems).

Conclusions: emerging predictive psychiatric services are valued by young people; however, these services must consider privacy versus utility trade-offs from the perspective of different stakeholders, including adolescents.

Clinical implications: respecting adolescents’ need for transparency, privacy and choice in the age of digital phenotyping is critical to the responsible implementation of predictive psychiatric services.

Text
69.full - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)

More information

Published date: 1 May 2022
Additional Information: Funding Information: Funding IS, GP and JL were supported by a Wellcome Trust Senior Investigator Award (IS: Grant 104825/Z/14/Z). IS was, in addition, supported by the NIHR Oxford Health Biomedical Research Centre under Grant IS-BRC-1215-20005 and the Wellcome Centre for Ethics and Humanities, which was supported by core funding from the Wellcome Trust under Grant 203132/Z/16/Z. The project was made possible by the Junior Researcher Programme (http://jrp.pscholars.org/http://jrp.pscholars. org/).
Keywords: child & adolescent psychiatry

Identifiers

Local EPrints ID: 467723
URI: http://eprints.soton.ac.uk/id/eprint/467723
ISSN: 1362-0347
PURE UUID: e703c8c8-1741-4775-a213-f4c534124197
ORCID for Lasara Kariyawasam: ORCID iD orcid.org/0000-0002-2207-2182

Catalogue record

Date deposited: 20 Jul 2022 16:47
Last modified: 16 Mar 2024 18:05

Export record

Altmetrics

Contributors

Author: Gabriela Pavarini
Author: Aleksandra Yosifova
Author: Keying Wang
Author: Benjamin Wilcox
Author: Nastja Tomat
Author: Jessica Lorimer

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×