Cargando…
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....
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046833/ https://www.ncbi.nlm.nih.gov/pubmed/35346984 http://dx.doi.org/10.1136/ebmental-2021-300329 |
_version_ | 1784695600114040832 |
---|---|
author | Pavarini, Gabriela Yosifova, Aleksandra Wang, Keying Wilcox, Benjamin Tomat, Nastja Lorimer, Jessica Kariyawasam, Lasara George, Leya Alí, Sonia Singh, Ilina |
author_facet | Pavarini, Gabriela Yosifova, Aleksandra Wang, Keying Wilcox, Benjamin Tomat, Nastja Lorimer, Jessica Kariyawasam, Lasara George, Leya Alí, Sonia Singh, Ilina |
author_sort | Pavarini, Gabriela |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9046833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-90468332022-05-11 Data sharing in the age of predictive psychiatry: an adolescent perspective Pavarini, Gabriela Yosifova, Aleksandra Wang, Keying Wilcox, Benjamin Tomat, Nastja Lorimer, Jessica Kariyawasam, Lasara George, Leya Alí, Sonia Singh, Ilina Evid Based Ment Health Ethics 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. BMJ Publishing Group 2022-05 2022-03-28 /pmc/articles/PMC9046833/ /pubmed/35346984 http://dx.doi.org/10.1136/ebmental-2021-300329 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Ethics Pavarini, Gabriela Yosifova, Aleksandra Wang, Keying Wilcox, Benjamin Tomat, Nastja Lorimer, Jessica Kariyawasam, Lasara George, Leya Alí, Sonia Singh, Ilina 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 |
topic | Ethics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046833/ https://www.ncbi.nlm.nih.gov/pubmed/35346984 http://dx.doi.org/10.1136/ebmental-2021-300329 |
work_keys_str_mv | AT pavarinigabriela datasharingintheageofpredictivepsychiatryanadolescentperspective AT yosifovaaleksandra datasharingintheageofpredictivepsychiatryanadolescentperspective AT wangkeying datasharingintheageofpredictivepsychiatryanadolescentperspective AT wilcoxbenjamin datasharingintheageofpredictivepsychiatryanadolescentperspective AT tomatnastja datasharingintheageofpredictivepsychiatryanadolescentperspective AT lorimerjessica datasharingintheageofpredictivepsychiatryanadolescentperspective AT kariyawasamlasara datasharingintheageofpredictivepsychiatryanadolescentperspective AT georgeleya datasharingintheageofpredictivepsychiatryanadolescentperspective AT alisonia datasharingintheageofpredictivepsychiatryanadolescentperspective AT singhilina datasharingintheageofpredictivepsychiatryanadolescentperspective |