Data sharing in the age of predictive psychiatry: an adolescent perspective
<p><strong>Background:</strong> 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 su...
| Главные авторы: | , , , , , , , , , |
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| Формат: | Journal article |
| Язык: | English |
| Опубликовано: |
BMJ Publishing Group
2022
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| _version_ | 1826310669743423488 |
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| author | Pavarini, G Yosifova, A Wang, K Wilcox, B Tomat, N Lorimer, J Kariyawasam, L George, L Alí, S Singh, I |
| author_facet | Pavarini, G Yosifova, A Wang, K Wilcox, B Tomat, N Lorimer, J Kariyawasam, L George, L Alí, S Singh, I |
| author_sort | Pavarini, G |
| collection | OXFORD |
| description | <p><strong>Background:</strong> 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.</p>
<p><strong>Objectives:</strong> 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.</p>
<p><strong>Methods:</strong> 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.</p>
<p><strong>Findings:</strong> 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).</p>
<p><strong>Conclusions:</strong> 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.</p>
<p><strong>Clinical implications:</strong> Respecting adolescents’ need for transparency, privacy and choice in the age of digital phenotyping is critical to the responsible implementation of predictive psychiatric services.</p> |
| first_indexed | 2024-03-07T07:55:21Z |
| format | Journal article |
| id | oxford-uuid:feb3e83c-af4b-4b16-bceb-f1533e3fb8b9 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:55:21Z |
| publishDate | 2022 |
| publisher | BMJ Publishing Group |
| record_format | dspace |
| spelling | oxford-uuid:feb3e83c-af4b-4b16-bceb-f1533e3fb8b92023-08-15T06:44:10ZData sharing in the age of predictive psychiatry: an adolescent perspectiveJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:feb3e83c-af4b-4b16-bceb-f1533e3fb8b9EnglishSymplectic ElementsBMJ Publishing Group2022Pavarini, GYosifova, AWang, KWilcox, BTomat, NLorimer, JKariyawasam, LGeorge, LAlí, SSingh, I<p><strong>Background:</strong> 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.</p> <p><strong>Objectives:</strong> 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.</p> <p><strong>Methods:</strong> 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.</p> <p><strong>Findings:</strong> 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).</p> <p><strong>Conclusions:</strong> 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.</p> <p><strong>Clinical implications:</strong> Respecting adolescents’ need for transparency, privacy and choice in the age of digital phenotyping is critical to the responsible implementation of predictive psychiatric services.</p> |
| spellingShingle | Pavarini, G Yosifova, A Wang, K Wilcox, B Tomat, N Lorimer, J Kariyawasam, L George, L Alí, S Singh, I Data sharing in the age of predictive psychiatry: an adolescent perspective |
| title | Data sharing in the age of predictive psychiatry: an adolescent perspective |
| title_full | Data sharing in the age of predictive psychiatry: an adolescent perspective |
| title_fullStr | Data sharing in the age of predictive psychiatry: an adolescent perspective |
| title_full_unstemmed | Data sharing in the age of predictive psychiatry: an adolescent perspective |
| title_short | Data sharing in the age of predictive psychiatry: an adolescent perspective |
| title_sort | data sharing in the age of predictive psychiatry an adolescent perspective |
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