ArticleBJPsych open2019
Predicting major mental illness: ethical and practical considerations.
Article in BJPsych open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Predicting 7-year-olds mental health in the perinatal period: Development and internal validation of a multivariable model using the prospective ALSPAC cohort.JCPP advances · 2026Article
- 'It is just a prediction; it's, like, not fact': youth attitudes towards risk prediction tools and personalised preventive interventions for depression and anxiety.BMJ mental health · 2026Article
- Exploratory analysis of machine learning models for state and trait anxiety based on Spielberger questionnaire data in nursing students.BMC medical education · 2026Article
- Review
- Longitudinal Prediction of Adolescent Depression from Environmental and Polygenic Risk Scores.medRxiv : the preprint server for health sciences · 2025Article
- Ethical and social issues in prediction of risk of severe mental illness: a scoping review and thematic analysis.BMC psychiatry · 2025Article
- Addressing the Stigma of Mental Illness in Black Families and Communities in Ontario, Canada: Protocol for a Mixed Methods Study.JMIR research protocols · 2025Article
- Ethics of early detection of disease risk factors: A scoping review.BMC medical ethics · 2024Article
- Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine.Frontiers in psychiatry · 2024Article
- No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence.Global mental health (Cambridge, England) · 2024Article
- Capturing mood dynamics through adolescent smartphone social communication.Journal of psychopathology and clinical science · 2023Article
- A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health.Perspectives on psychological science : a journal of the Association for Psychological Science · 2023Review
- Article
- Whole Person Modeling: a transdisciplinary approach to mental health research.Discover mental health · 2023Review
- Out of their minds? Externalist challenges for using AI in forensic psychiatry.Frontiers in psychiatry · 2023Review
- Burnout and the Quantified Workplace: Tensions around Personal Sensing Interventions for Stress in Resident Physicians.Proceedings of the ACM on human-computer interaction · 2022Article
- Development and external validation of a risk calculator to predict internalising symptoms among Ugandan youths affected by HIV.Psychiatry research · 2021Article
- Predicting the risk of depression among adolescents in Nepal using a model developed in Brazil: the IDEA Project.European child & adolescent psychiatry · 2021Article
- Attitudes towards Risk Prediction in a Help Seeking Population of Early Detection Centers for Mental Disorders-A Qualitative Approach.International journal of environmental research and public health · 2021Article
- Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health.Administration and policy in mental health · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
SummaryAn increasing body of genetic and imaging research shows that it is becoming possible to forecast the onset of major psychiatric disorders such as depression and schizophrenia before people become ill with ever improving accuracy. Practical issues such as the optimal combination of clinical and biological variables are being addressed, but the application of predictive algorithms to individuals or in routine clinical settings have yet to be tested. The development of predictive methods in mental health comes with substantial ethical questions, including whether people wish to know their level of risk, as well as individual and societal attitudes to the potential adverse effects of data sharing, early diagnosis and treatment, which so far have been largely ignored. Preliminary data suggests that at least some people think predictive research is valuable and would take part in such studies, and some would welcome knowing the results. Future initiatives should systematically assess opinions and attitudes in conjunction with scientific and technical advances.Declaration of interestIn the past 3 years, S.M.L. has received personal fees from Otsuaka, Sunovion and Janssen, and research grant support from Janssen and Lundbeck. A.M.M. has received research support from the Sackler Trust, Eli Lilly and Janssen. S.M.L. is part of the PSYSCAN consortium.
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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.