Neurocognitive impairments robustly predict functional outcome. However, heterogeneity in neurocognition is common within diagnostic groups, and data-driven analyses reveal homogeneous neurocognitive subgroups cutting across diagnostic boundaries.

To determine whether data-driven neurocognitive subgroups of young people with emerging mental disorders are associated with 3-year functional course.

Model-based cluster analysis was applied to neurocognitive test scores across nine domains from 629 young people accessing mental health clinics. Cluster groups were compared on demographic, clinical and substance-use measures. Mixed-effects models explored associations between cluster-group membership and socio-occupational functioning (using the Social and Occupational Functioning Assessment Scale) over 3 years, adjusted for gender, premorbid IQ, level of education, depressive, positive, negative and manic symptoms, and diagnosis of a primary psychotic disorder.

Cluster analysis of neurocognitive test scores derived three subgroups described as ‘normal range’ (n = 243, 38.6%), ‘intermediate impairment’ (n = 252, 40.1%), and ‘global impairment’ (n = 134, 21.3%). The major mental disorder categories (depressive, anxiety, bipolar, psychotic and other) were represented in each neurocognitive subgroup. The global impairment subgroup had lower functioning for 3 years of follow-up; however, neither the global impairment (B = 0.26, 95% CI −0.67 to 1.20; P = 0.581) or intermediate impairment (B = 0.46, 95% CI −0.26 to 1.19; P = 0.211) subgroups differed from the normal range subgroup in their rate of change in functioning over time.

Neurocognitive impairment may follow a continuum of severity across the major syndrome-based mental disorders, with data-driven neurocognitive subgroups predictive of functional course. Of note, the global impairment subgroup had longstanding functional impairment despite continuing engagement with clinical services.

Worldwide suicide is commonest in young people and in many countries, including the UK, suicide rates in young people are rising.

To investigate the stresses young people face before they take their lives, their contact with services that could be preventative and whether these differ in girls and boys.

We identified a 3-year UK national consecutive case series of deaths by suicide in people aged 10–19, based on national mortality data. We extracted information on the antecedents of suicide from official investigations, primarily inquests.

Between 2014 and 2016, there were 595 suicides by young people, almost 200 per year; 71% were male (n = 425). Suicide rates increased from the mid-teens, most deaths occurred in those aged 17–19 (443, 74%). We obtained data about the antecedents of suicide for 544 (91%). A number of previous and recent stresses were reported including witnessing domestic violence, bullying, self-harm, bereavement (including by suicide) and academic pressures. These experiences were generally more common in girls than boys, whereas drug misuse (odds ratio (OR) = 0.54, 95% CI 0.35–0.83, P = 0.006) and workplace problems (OR 0.52, 95% CI 0.28–0.96, P = 0.04) were less common in girls. A total of 329 (60%) had been in contact with specialist children's services, and this was more common in girls (OR 1.86, 95% CI 1.19–2.94, P = 0.007).

There are several antecedents to suicide in young people, particularly girls, which are important in a multiagency approach to prevention incorporating education, social care, health services and the third sector. Some of these may also have contributed to the recent rise.

People with bipolar disorder have moderate cognitive difficulties that tend to be more pronounced during mood episodes but persist after clinical remission and affect recovery. Recent evidence suggests heterogeneity in these difficulties, but the factors underlying cognitive heterogeneity are unclear.

To examine whether distinct cognitive profiles can be identified in a sample of euthymic individuals with bipolar disorder and examine potential differences between subgroups.

Cognitive performance was assessed across four domains (i.e. processing speed, verbal learning/memory, working memory, executive functioning) in 80 participants. We conducted a hierarchical cluster analysis and a discriminant function analysis to identify cognitive profiles and considered differences in cognitive reserve, estimated cognitive decline from premorbid cognitive functioning, and clinical characteristics among subgroups.

Four discrete cognitive profiles were identified: cognitively intact (n = 25; 31.3%); selective deficits in verbal learning and memory (n = 15; 18.8%); intermediate deficits across all cognitive domains (n = 30; 37.5%); and severe deficits across all domains (n = 10; 12.5%). Cognitive decline after illness onset was greater for the intermediate and severe subgroups. Cognitive reserve scores were increasingly lower for subgroups with greater impairments. A smaller proportion of cognitively intact participants were using antipsychotic medications compared with all other subgroups.

Our findings suggest that individuals with cognitively impaired profiles demonstrate more cognitive decline after illness onset. Cognitive reserve may be one of the factors underlying cognitive variability across people with bipolar disorder. Patients in the intermediate and severe subgroups may be in greater need of interventions targeting cognitive difficulties.

Epilepsy and mental illness share similar problems in terms of stigma, as a result of centuries of superstition, ignorance and misbeliefs. Stigma leads not only to discrimination and civil and human rights violations but also to poor access to healthcare and non-adherence or decreased adherence to treatment, ultimately increasing morbidity and mortality. Despite continuous efforts in fighting stigma in these conditions, there is very limited knowledge on the phenomenon of double stigma, meaning the impact of having two stigmatised conditions at the same time.

To discuss double stigma in mental health with special reference to epilepsy.

Articles were identified through searches in PubMed up to 31 October 2019 using the search terms ‘epilepsy’, ‘psychiatric disorders’, ‘stigma’ and additional material was identified from the authors’ own files and from chosen bibliographies.

Double stigma is gaining attention for other stigmatised medical conditions, such as HIV, however, the literature on epilepsy is almost non-existent and this is quite astonishing given that one in three people with epilepsy have a lifetime diagnosis of a psychiatric condition. Felt (perceived) stigma and psychiatric disorders, particularly depression, create a vicious circle in epilepsy maintaining both, as depression correlates with stigma and vice versa as well as epilepsy and depression serving as bidirectional risk factors. This phenomenon has no geographical and economic boundaries as similar data have been reported for low-income and high-income countries.

Governments and policymakers as well as health services, patients’ organisations, families and the general public need to be aware of the phenomenon of double stigma in order to develop campaigns and interventions tailored for these patients.

Research in schizophrenia and pregnancy has traditionally been conducted in small samples. More recently, secondary analysis of routine healthcare data has facilitated access to data on large numbers of women with schizophrenia.

To discuss four scientific advances using data from Canada, Denmark and the UK from population-level health registers and clinical data sources.

Narrative review of research from these three countries to illustrate key advances in the area of schizophrenia and pregnancy.

Health administrative and clinical data from electronic medical records have been used to identify population-level and clinical cohorts of women with schizophrenia, and follow them longitudinally along with their children. These data have demonstrated that fertility rates in women with schizophrenia have increased over time and have enabled documentation of the course of illness in relation with pregnancy, showing the early postpartum as the time of highest risk. As a result of large sample sizes, we have been able to understand the prevalence of and risk factors for rare outcomes that would be difficult to study in clinical research. Advanced pharmaco-epidemiological methods have been used to address confounding in studies of antipsychotic medications in pregnancy, to provide data about the benefits and risks of treatment for women and their care providers.

Use of these data has advanced the field of research in schizophrenia and pregnancy. Future developments in use of electronic health records include access to richer data sources and use of modern technical advances such as machine learning and supporting team science.

There are few very brief measures that accurately identify multiple common mental disorders.

The aim of this study was to develop and assess the psychometric properties of a new composite measure to screen for five common mental disorders.

Two cross-sectional psychometric surveys were used to develop (n = 3175) and validate (n = 3620) the new measure, the Rapid Measurement Toolkit-20 (RMT20) against diagnostic criteria. The RMT20 was tested against a DSM-5 clinical checklist for major depression, generalised anxiety disorder, panic disorder, social anxiety disorder and post-traumatic stress disorder, with comparison with two measures of general psychological distress: the Kessler-10 and Distress Questionnaire-5.

The area under the curve for the RMT20 was significantly greater than for the distress measures, ranging from 0.86 to 0.92 across the five disorders. Sensitivity and specificity at prescribed cut-points were excellent, with sensitivity ranging from 0.85 to 0.93 and specificity ranging from 0.73 to 0.83 across the five disorders.

The RMT20 outperformed two established scales assessing general psychological distress, is free to use and has low respondent burden. The measure is well-suited to clinical screening, internet-based screening and large-scale epidemiological surveys.

Occupational groups operating in dangerous environments may witness the development of acute stress reaction (ASR) in team members. Witnessing ASR in team members may increase the risk of developing subsequent post-traumatic stress disorder (PTSD) symptoms.

To describe ASR symptoms that individuals witness, assess the relationship between witnessing a team member exhibiting ASR symptoms and an individual's own PTSD symptoms, and describe common intervention responses by peers.

Cross-sectional, anonymous surveys were conducted with US soldiers who were previously deployed (sample 1; n = 176) and currently deployed sample 2; n = 497). Surveys assessed combat experiences, PTSD (PTSD Checklist-5), ASR exposure and intervention responses. Analyses included frequencies and binary logistic regression.

Witnessing at least one ASR symptom during a combat-related event was reported by 51.7% in sample 1 and 42.4% in sample 2; the most commonly observed symptoms were being unable to function or being detached. Controlling for combat experiences, high levels of witnessing a team member exhibit ASR symptoms was associated with increased risk of subthreshold PTSD or PTSD in sample 1 (odds ratio (OR) = 8.69, 95% CI 2.29–42.60) and approached significance in sample 2 (OR = 1.67, 95% CI 0.98–2.81). Common intervention responses included providing a directive or yelling; many also reported being unsure how to respond.

Witnessing team members who exhibit ASR symptoms appears to be associated with screening positive for subthreshold PTSD or PTSD. Results suggest the need for further research into how to prepare individuals to manage ASR in team members and to examine ASR in other high-risk occupations.

Patients with co-occurring anorexia nervosa and autism respond differently to eating disorder treatments. Previous interviews with patients with both conditions and clinicians working in eating disorder services has highlighted service and treatment adaptations might be beneficial and could improve outcomes for these individuals.

The aim of this study was to explore carers’ experiences of current treatment approaches for people with autism who have anorexia nervosa, and their views on how these can be improved.

Ten carers of a loved one diagnosed with autism and anorexia nervosa were interviewed using a semi-structured interview schedule and the transcripts were analysed with thematic analysis.

Four key themes emerged from the interviews: the role of autism in anorexia nervosa, carers’ problems with clinical services, the impact on carers and suggestions for future improvements.

Carers agreed that autism played a significant role in the development and maintenance of their daughters’ anorexia nervosa. However, this comorbidity does not appear to be appropriately addressed in current treatment provisions. They described several difficulties, including problems getting an autism diagnosis and the perception that eating disorder services did not accept or adapt around the condition. This resulted in feelings of frustration and isolation for families, a scenario exacerbated by a perceived lack of support or specific resources for carers of individuals on the autism spectrum. Clinical recommendations on the basis of the current and previous studies are outlined.

How neighbourhood characteristics affect the physical safety of people with mental illness is unclear.

To examine neighbourhood effects on physical victimisation towards people using mental health services.

We developed and evaluated a machine-learning-derived free-text-based natural language processing (NLP) algorithm to ascertain clinical text referring to physical victimisation. This was applied to records on all patients attending National Health Service mental health services in Southeast London. Sociodemographic and clinical data, and diagnostic information on use of acute hospital care (from Hospital Episode Statistics, linked to Clinical Record Interactive Search), were collected in this group, defined as ‘cases’ and concurrently sampled controls. Multilevel logistic regression models estimated associations (odds ratios, ORs) between neighbourhood-level fragmentation, crime, income deprivation, and population density and physical victimisation.

Based on a human-rated gold standard, the NLP algorithm had a positive predictive value of 0.92 and sensitivity of 0.98 for (clinically recorded) physical victimisation. A 1 s.d. increase in neighbourhood crime was accompanied by a 7% increase in odds of physical victimisation in women and an 13% increase in men (adjusted OR (aOR) for women: 1.07, 95% CI 1.01–1.14, aOR for men: 1.13, 95% CI 1.06–1.21, P for gender interaction, 0.218). Although small, adjusted associations for neighbourhood fragmentation appeared greater in magnitude for women (aOR = 1.05, 95% CI 1.01–1.11) than men, where this association was not statistically significant (aOR = 1.00, 95% CI 0.95–1.04, P for gender interaction, 0.096). Neighbourhood income deprivation was associated with victimisation in men and women with similar magnitudes of association.

Neighbourhood factors influencing safety, as well as individual characteristics including gender, may be relevant to understanding pathways to physical victimisation towards people with mental illness.

The role of sociodemographic and economic characteristics in mental distress has been rarely investigated in Indonesia.

To investigate the prevalence of common mental disorders (CMD) and identify any associations between mental distress and sociodemographic and economic characteristics among communities living in urban and rural (peri-urban) areas.

A community-based household survey was conducted in the province of Aceh, Indonesia, in 2018. The 20-item Self Reporting Questionnaire (SRQ-20) screening tool was used to measure symptoms of CMD. Information on sociodemographic characteristics, family functioning, labour market outcomes and healthcare costs was collected. Multivariate regressions were conducted to analyse the relationships between the measures of mental distress and sociodemographic and economic characteristics.

We found that 14% of the respondents had CMD symptoms. SRQ-20 scores were higher for female, older and lower-educated individuals. CMD prevalence was higher among non-married participants and clustered within families. Participants with CMD perceive their families as performing significantly better in the dimensions of affective involvement and behaviour control compared with their counterparts. Their work was more often affected by negative feelings; they were also twice as likely to report a recent physical or mental health complaint and faced twice the treatment costs compared with their non-affected counterparts.

The prevalence of mental disorders is especially high in disadvantaged population groups. Moreover, mental distress is associated with a lower perceived productivity and a higher physical health burden.

New York City's first case of SARS-associated coronavirus (SARS-CoV-2) disease 2019 (COVID-19) was identified on 1 March 2020, prompting rapid restructuring of hospital-based services to accommodate the increasing numbers of medical admissions. Non-essential services were eliminated but in-patient treatment of psychiatric illnesses was necessarily maintained.

To detail the response of the NYU Langone Health in-patient psychiatric services to the COVID-19 outbreak from 1 March to 1 May 2020.

Process improvement/quality improvement study.

Over this time period, our two in-patient psychiatric units (57 total beds) treated 238 patients, including COVID-19-positive and -negative individuals. Testing for COVID-19 was initially limited to symptomatic patients but expanded over the 62-day time frame. In total, 122 SARS-CoV-2 polymerase chain reaction (PCR) tests were performed in 98 patients. We observed an overall rate of COVID-19 infection of 15.6% in the patients who were tested, with an asymptomatic positive rate of 13.7%. Although phased roll-out of testing impaired the ability to fully track on-unit transmission of COVID-19, 3% of cases were clearly identified as results of on-unit transmission.

Our experience indicates that, with appropriate precautions, patients in need of in-patient psychiatric admission who have COVID-19 can be safely managed. We provide suggested guidelines for COVID-19 management on in-patient psychiatric units which incorporate our own experiences as well as published recommendations.

Many patients with post-traumatic stress disorder (PTSD) experience dissociative symptoms. The question of whether these dissociative symptoms negatively influence the effectiveness of psychotherapy for PTSD is unresolved.

To determine the influence of dissociative symptoms on psychotherapy outcome in PTSD.

We conducted a systematic search in Cochrane, Embase, PILOTS, PsycINFO, PubMed and Web of Science for relevant clinical trials. A random-effects meta-analysis examined the impact of dissociation on psychotherapy outcome in PTSD (pre-registered at Prospero CRD42018086575).

Twenty-one trials (of which nine were randomised controlled trials) with 1714 patients were included. Pre-treatment dissociation was not related to treatment effectiveness in patients with PTSD (Pearson's correlation coefficient 0.04, 95% CI −0.04 to 0.13). Between-study heterogeneity was high but was not explained by moderators such as trauma focus of the psychotherapy or risk of bias score. There was no indication for publication bias.

We found no evidence that dissociation moderates the effectiveness of psychotherapy for PTSD. The quality of some of the included studies was relatively low, emphasising the need for high-quality clinical trials in patients with PTSD. The results suggest that pre-treatment dissociation does not determine psychotherapy outcome in PTSD.

Symptoms of serious mental illness are multidimensional and often interact in complex ways. Generative models offer value in elucidating the underlying relationships that characterise these networks of symptoms.

In this paper we use generative models to find unique interactions of schizophrenia symptoms as experienced on a moment-by-moment basis.

Self-reported mood, anxiety and psychosis symptoms, self-reported measurements of sleep quality and social function, cognitive assessment, and smartphone touch screen data from two assessments modelled after the Trail Making A and B tests were collected with a digital phenotyping app for 47 patients in active treatment for schizophrenia over a 90-day period. Patients were retrospectively divided up into various non-exclusive subgroups based on measurements of depression, anxiety, sleep duration, cognition and psychosis symptoms taken in the clinic. Associated transition probabilities for the patient cohort and for the clinical subgroups were calculated using state transitions between adjacent 3-day timesteps of pairwise survey domains.

The three highest probabilities for associated transitions across all patients were anxiety-inducing mood (0.357, P < 0.001), psychosis-inducing mood (0.276, P < 0.001), and anxiety-inducing poor sleep (0.268, P < 0.001). These transition probabilities were compared against a validation set of 17 patients from a pilot study, and no significant differences were found. Unique symptom networks were found for clinical subgroups.

Using a generative model using digital phenotyping data, we show that certain symptoms of schizophrenia may play a role in elevating other schizophrenia symptoms in future timesteps. Symptom networks show that it is feasible to create clinically interpretable models that reflect the unique symptom interactions of psychosis-spectrum illness. These results offer a framework for researchers capturing temporal dynamics, for clinicians seeking to move towards preventative care, and for patients to better understand their lived experience.

Placements within high secure forensic hospitals consist of wards providing various different levels of relational security. They should form a coherent pathway through secure care, based on individual patient risks and needs. Moves to less secure wards within high secure forensic hospitals and moves on to lower secure hospital settings have rarely been systematically studied.

The aim of this study was to ascertain if placements within Broadmoor High Secure Hospital and moves from Broadmoor to medium secure hospitals corresponded to measures of violence risk, programme completion and recovery.

A 13-month prospective cohort study was completed. Patients (n = 142) were rated at baseline for violence risk (Historical, Clinical and Risk – 20), therapeutic programme completion and recovery (DUNDRUM tool) and overall functioning (Global Assessment of Functioning). Placements on the care pathway and moves on to medium secure hospitals were observed.

Placements on the care pathway within the high secure hospital were associated with dynamic violence risk (F = 16.324, P<0.001), therapeutic programme completion (F = 4.167, P = 0.003), recovery (F = 2.440, P = 0.050) with better scores on these measures being found in the rehabilitation wards and the poorest scores on the highest levels of dependency. Moves to medium secure hospitals were associated with better scores on dynamic risk of violence (F = 33.199, P<0.001), therapeutic programme completion (F = 9.237 P<0.001), recovery (F = 6.863, P = 0.001).

Placements within Broadmoor Hospital formed a coherent pathway through high secure care. Moves to less secure places were influenced by more than reduction in violence risk. Therapeutic programme completion and recovery in a broad sense were also important.

Psychotic experiences may emerge in more severe cases of common mental disorders (CMD). Previous work identified that 30% of patients treated by mental health services in primary healthcare, specifically the Improving Access to Psychological Therapies (IAPT) programme in England, reported psychotic experiences, began treatment with more severe CMD and were less likely to reach recovery.

To replicate our previous assessment of psychotic experiences in the IAPT programme using a more sensitive threshold and determine its impact on the prevalence of psychotic experience and likelihood of recovery. Additionally, to compare recovery rates between patients with and without psychotic experiences at the end of therapy.

The Community Assessment of Psychic Experiences (CAPE-P15) with a cut-off of 1.30 was used to determine the prevalence of psychotic experiences. Recovery rates were determined using measures collected in the IAPT programme for depression (PHQ-9) and anxiety (GAD-7). Multi-group growth models estimated improvement trajectories.

In total, 2042 patients with CMD completed the CAPE-P15. The mean age was 39.8. The prevalence of psychotic experiences was 18% higher when using a lower threshold. The recovery rate for patients with psychotic experiences was lower (36%) than for those without (64%). Despite sharing similar improvement trajectories, the higher initial severity of CMD among patients with psychotic experiences impeded likelihood of recovery.

As psychotic experiences may be a marker of severity in CMD, the benefits of identifying these in IAPT populations may also apply to patients with milder experiences. Further investigation of the consequential demands on service provision and how this would affect clinical practice is recommended.

It is clinically imperative to better understand the relationship between trauma, auditory hallucinations and dissociation. The personal narrative of trauma has enormous significance for each individual and is also important for the clinician, who must use this information to decide on a diagnosis and treatment approach.

To better understand whether dissociation contributes in a significant way to hallucinations in individuals with and without trauma histories.

Three groups of participants with auditory hallucinations were recruited, with diagnoses of: schizophrenia (without trauma) (n = 18), post-traumatic stress disorder (PTSD, n = 27) and comorbid schizophrenia and PTSD (SCZ+PTSD), n = 26). Clinician-administered measures included the PTSD Symptoms Scale Interview (PSSI-5), the Clinician-Administered Dissociative States Scale (CADSS) and the Psychotic Symptom Rating Scales (PSYRATS).

Dissociative symptoms were significantly higher in participants with trauma histories (PTSD and SCZ+PTSD groups) and significantly correlated with hallucinations in trauma-exposed participants, but not in participants with schizophrenia (without trauma history). Hallucination severity was correlated with the CADSS amnesia subscale score, but depersonalisation and derealisation were not.

Dissociation may be a mechanism in trauma-exposed individuals who hear voices, but it does not explain all hallucinatory experiences. The SCZ+PTSD group were in an intermediary position between schizophrenia and PTSD on dissociative and hallucination measures. The PTSD and SCZ+PTSD groups experienced dissociative phenomena much more frequently than the schizophrenia group, with a significant trend towards the amnesia subtype of dissociation.

Investigations may be undertaken into mental healthcare related homicides to ascertain if lessons can be learned to prevent the chance of recurrence. Families of victims are variably involved in serious incident reviews. Their perspectives on the inquiry process have rarely been studied.

To explore the experiences of investigative processes from the perspectives of family members of homicide victims killed by a mental health patient to better inform the process of conducting inquiries.

The study design was informed by interpretive description methodology. Semi-structured interviews were conducted with five families whose loved one had been killed by a mental health patient and where there had been a subsequent inquiry process in New Zealand. Data were analysed using an inductive approach.

Families in this study felt excluded, marginalised and disempowered by mental health inquires. The data highlight these families’ perspectives, particularly on the importance of a clear process of inquiry, and of actions by healthcare providers that indicate restorative intent.

Families in this study were united in reporting that they felt excluded from mental health inquiries. We suggest that the inclusion of families’ perspectives should be a key consideration in the conduct of mental health inquiries. There may be benefit from inquiries that communicate a clear process of investigation that reflects restorative intent, acknowledges victims, provides appropriate apologies and gives families opportunities to contribute.