Lancet Psychiatry

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BACKGROUND: Women with a pre-existing severe mental disorder have an increased risk of relapse after giving birth. We aimed to evaluate associations of the gradual regional implementation of community perinatal mental health teams in England from April, 2016, with access to mental health care and with mental health, obstetric, and neonatal outcomes. METHODS: For this cohort study, we used the national dataset of secondary mental health care provided by National Health Service England, including mental health-care episodes from April 1, 2006, to March 31, 2019, linked at patient level to the Hospital Episode Statistics, and birth notifications from the Personal Demographic Service...

BACKGROUND: Given the anticipated increase in ambient temperature due to climate change, the hazardous effects of heat on health have been extensively studied; however, its impact on people with intellectual disability, autism, and mental illness is largely unknown. We aimed to estimate the association between heat and hospitalisation through the emergency department (ED) among people with these mental disorders. METHODS: In this nationwide study, we used data from the National Health Insurance Database (NHID) of the National Health Insurance Service, the single universal insurer in South Korea, the claims data for which is based on the ICD-10...

BACKGROUND: The COVID-19 pandemic has been extensively discussed in the context of its effect on mental health. Although global suicide rates have remained stable during the pandemic, the specific effect on non-fatal suicide behaviours during and after the pandemic remains underexplored. This study aims to investigate patterns of non-fatal suicide behaviours before, during, and after the pandemic. METHODS: In this cohort study, we used data from all hospitals in Catalonia, Spain, collected through the Catalan Suicide Risk Code, which is a specifically designed suicide attempt surveillance protocol, involving a face-to-face, in-depth psychiatric evaluation, after a Catalan resident presents any suicide risk behaviour in any public health-care setting...

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Research waste occurs when randomised controlled trial (RCT) outcomes are heterogeneous or overlook domains that matter to patients (eg, relating to symptoms or functions). In this systematic review, we reviewed the outcome measures used in 450 RCTs of adult unipolar and bipolar depression registered between 2018 and 2022 and identified 388 different measures. 40% of the RCTs used the same measure (Hamilton Depression Rating Scale [HAMD]). Patients and clinicians matched each item within the 25 most frequently used measures with 80 previously identified domains of depression that matter to patients...

BACKGROUND: Little information is available on the clinical trajectories of children and adolescents who attend general practice (GP) with psychiatric symptoms. We aimed to examine 5-year service use in English primary care for children and adolescents with neurodevelopmental or mental health symptoms or diagnoses. METHODS: In this retrospective cohort study, we used anonymised primary care health records from the Clinical Practice Research Datalink Aurum database (CPRD-Aurum)...

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ADHD is less likely to be diagnosed in females than males, especially in childhood. Females also typically receive the diagnosis later than males and are less likely to be prescribed ADHD medication. Understanding why these sex differences in clinical care and treatment for ADHD occur is key to improving timely diagnosis in people affected by ADHD. This Personal View is a conceptual review synthesising literature on this topic. This publication considers potential biological explanations (eg, genetic factors), influence of diagnostic practices (eg, criteria suitability, diagnostic overshadowing, and sex-specific diagnostic thresholds), and sociocultural explanations (eg, sex differences in presentation and compensatory behaviours), for the observed sex differences in ADHD clinical practice...

Attempts to understand psychosis-the experience of profoundly altered perceptions and beliefs-raise questions about how the brain models the world. Standard predictive coding approaches suggest that it does so by minimising mismatches between incoming sensory evidence and predictions. By adjusting predictions, we converge iteratively on a best guess of the nature of the reality. Recent arguments have shown that a modified version of this framework-hybrid predictive coding-provides a better model of how healthy agents make inferences about external reality...