A 28-predictor model using routine mental health records correctly identified risk for psychotic or bipolar disorders around 80% of the time, outperforming existing assessment tools in a study of 127,000 people.
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A 15-year analysis of UK primary care records showed steep and sustained weight gain after an SMI diagnosis, especially among younger adults and people prescribed antipsychotic medication. Yet very few received referrals for weight-management support, raising important questions about practice and policy.
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Brief Admission allows people with BPD to self-refer for short respite stays, offering a person-centred alternative to emergency hospitalisation. This 4-year longitudinal study from Sweden reveals who uses it, how it works, and how services could adapt.
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People with severe mental illness often face years of poor health before diagnosis. A new study uses machine learning and clinical notes to map the early warning networks of symptoms that could help us intervene earlier.
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Samuel Woodnutt summarises a mixed-methods study that identifies themes in community-based incident reports. This is the first study of its kind, providing new evidence on community mental health patient safety incidents and solutions.
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Lorna Staines summarises a recent study on predicting treatment-resistant psychosis, which suggests that future risk prediction efforts should seek to consider routinely collected data.
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