Evidence map›Paper›PMID 35346984›Full record

ArticleEvidence-based mental health2022

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

Gabriela Pavarini, Aleksandra Yosifova, Keying Wang, Benjamin Wilcox, Nastja Tomat, Jessica Lorimer, Lasara Kariyawasam, Leya George, Sonia Alí, Ilina Singh

Abstract read
In one paragraph

Article in Evidence-based mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Carpe diem.Evidence-based mental health · 2022
    Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Gabriela PavariniDepartment of Psychiatry, University of Oxford, Oxford, UK.ORCID 0000-0001-5574-4021
Aleksandra Yosifova *Department of Cognitive Science and Psychology, New Bulgarian University, Sofia, Bulgaria.
Keying Wang *Institute of Cognitive Neuroscience, University College London, London, UK.
Benjamin Wilcox *Department of Neuroscience, University of Sheffield, Sheffield, UK.
Nastja Tomat *Department of Philosophy, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia.
Jessica Lorimer *Department of Psychiatry, University of Oxford, Oxford, UK.
Lasara Kariyawasam *Department of Psychology, University of Southampton, Southampton, UK.
Leya George *Division of Psychology & Language Sciences, University College London, London, UK.
Sonia Alí *Department of Psychology, University of Sussex, Brighton, UK.
Ilina SinghDepartment of Psychiatry, University of Oxford, Oxford, UK ilina.singh@psych.ox.ac.uk.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundAdvances 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.

objectivesThis 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.

methodsEighty 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.

findingsParticipants 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).

conclusionsEmerging 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.

Indexed as

PsychiatrySocial MediaAdolescentHumansInformation DisseminationMental HealthPrivacychild & adolescent psychiatry

Identifiers

PMID35346984
PMCPMC9046833

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.