Whether there are distinct subtypes of schizophrenia is an important issue to advance understanding and treatment of schizophrenia.

To understand and treat individuals with schizophrenia, the aim was to advance understanding of differences between individuals, whether there are discrete subtypes, and how fist-episode patients (FEP) may differ from multiple episode patients (MEP).

These issues were analysed in 687 FEP and 1880 MEP with schizophrenia using the Positive and Negative Syndrome Scale for (PANSS) schizophrenia before and after antipsychotic medication for 6 weeks.

The seven Negative Symptoms were correlated with each other and with P2 (conceptual disorganisation), G13 (disturbance of volition), and G7 (motor retardation). The main difference between individuals was in the cluster of seven negative symptoms, which had a continuous unimodal distribution. Medication decreased the PANSS scores for all the symptoms, which were similar in the FEP and MEP groups.

The negative symptoms are a major source of individual differences, and there are potential implications for treatment.

Safety at work is a core issue for mental health staff working on in-patient units. At present, there is a limited theoretical base regarding which factors may affect staff perceptions of safety.

This study attempted to identify which factors affect perceived staff safety working on in-patient mental health wards.

A cross-sectional design was employed across 101 forensic and non-forensic mental health wards, over seven National Health Service trusts nationally. Measures included an online staff survey, Ward Features Checklist and recorded incident data. Data were analysed using categorical principal components analysis and ordinal regression.

Perceptions of staff safety were increased by ward brightness, higher number of patient beds, lower staff to patient ratios, less dayroom space and more urban views.

The findings from this study do not represent common-sense assumptions. Results are discussed in the context of the literature and may have implications for current initiatives aimed at managing in-patient violence and aggression.

Being a current psychiatric in-patient is one of the strongest statistical risk factors for suicide. It is usually assumed that this strong association is not causal but is a result of the combination of the selection of high-risk patients for admission and the imperfect protection from suicide afforded by psychiatric wards. Logically, a third factor, which is causal, might play a role in the association. It has recently been suggested that adverse experiences in psychiatric units such as trauma, stigma and loss of social role might precipitate some in-patient suicides.

To consider whether there is a causal association between psychiatric hospitalisation and suicide.

We used the framework of Austin Bradford Hill's criteria for assessing causality in epidemiology to consider the possibility that psychiatric hospitalisation might causally contribute to the extent and variation in in-patient suicide rates.

The association between psychiatric hospitalisation and suicide clearly meets five of the nine Hill's criteria (strength of association, consistency, plausibility, coherence and analogy) and partially meets three of the remaining four criteria (gradient of exposure, temporality and experimental evidence).

Admission to hospital itself might play a causal role in a proportion of in-patient suicides. The safety of being in hospital with respect to suicide could be examined with a large-scale randomised controlled trial (RCT). In the absence of an RCT, the possibility of a causal role provides further impetus to calls to make care in the community more available and psychiatric hospitals more acceptable to patients.

Although psychotic experiences in people without diagnosed mental health problems are associated with mental health service use, few studies have assessed this prospectively or measured service use by real-world clinical data.

To describe and investigate the association between psychotic experiences and later mental health service use, and to assess the role of symptoms of common mental health disorders in this association.

We linked a representative survey of south-east London (SELCoH-1, n=1698) with health records from the local mental healthcare provider. Cox regression estimated the association of PEs with rate of mental health service use.

After adjustments, psychotic experiences were associated with a 1.75-fold increase in the rate of subsequent mental health service use (hazard ratio (HR) 1.75, 95% CI 1.03–2.97) compared with those without PEs. Participants with PEs experienced longer care episodes compared with those without.

Psychotic experiences in the general population are important predictors of public mental health need, aside from their relevance for psychoses. We found psychotic experiences to be associated with later mental health service use, after accounting for sociodemographic confounders and concurrent psychopathology.

Computerised cognitive-behavioural therapy (CCBT) helps improve mental health outcomes in White populations. However, no studies have examined whether CCBT is acceptable and beneficial for African Americans.

We studied differences in CCBT use and self-reported change in depression and anxiety symptoms among 91 African Americans and 499 White primary care patients aged 18–75, enrolled in a randomised clinical trial of collaborative care embedded with an online treatment for depression and anxiety.

Patients with moderate levels of mood and/or anxiety symptoms (PHQ-9 or GAD-7≥10) were randomised to receive either care-manager-guided access to the proven-effective Beating the Blues® CCBT programme or usual care from their primary care doctor.

Compared with White participants, African Americans were less likely to start the CCBT programme (P=0.01), and those who did completed fewer sessions and were less likely to complete the full programme (P=0.03). Despite lower engagement, however, African Americans who started the CCBT programme experienced a greater decrease in self-reported depressive symptoms (estimated 8-session change: −6.6 v. −5.5; P=0.06) and similar decrease in anxiety symptoms (−5.3 v. −5.6; P=0.80) compared with White participants.

CCBT may be an efficient and scalable first-step to improving minority mental health and reducing disparities in access to evidence-based healthcare.

Cognitive improvement has been reported in patients receiving centrally acting angiotensin-converting enzyme inhibitors (C-ACEIs).

To compare cognitive decline and survival after diagnosis of Alzheimer's disease between people receiving C-ACEIs, non-centrally acting angiotensin-converting enzyme inhibitors (NC-ACEIs), and neither.

Routine Mini-Mental State Examination (MMSE) scores were extracted in 5260 patients receiving acetylcholinesterase inhibitors and analysed against C-/NC-ACEI exposure at the time of Alzheimer's disease diagnosis.

In the 9 months after Alzheimer's disease diagnosis, MMSE scores significantly increased by 0.72 and 0.19 points per year in patients on C-ACEIs and neither respectively, but deteriorated by 0.61 points per year in those on NC-ACEIs. There were no significant group differences in score trajectories from 9 to 36 months and no differences in survival.

In people with Alzheimer's disease receiving acetylcholinesterase inhibitors, those also taking C-ACEIs had stronger initial improvement in cognitive function, but there was no evidence of longer-lasting influence on dementia progression.

National Mental Health Survey found that in India, the point prevalence of major depressive disorder (MDD) was 2.7% and the treatment gap was 85.2%, whereas in Madhya Pradesh the point prevalence of MDD was 1.4% and the treatment gap was 80%.

To describe the baseline prevalence of depression among adults, association of various demographic and socioeconomic variables with depression and estimation of contact coverage for the same.

Population-based cross-sectional survey of 3220 adults in Sehore district of Madhya Pradesh, India. The outcome of interest was a probable diagnosis of depression that was measured using the Patient Health Questionnaire (PHQ-9) and the proportion of individuals with depression (PHQ-9>9) who sought care for the same. The data were analysed using simple and multiple log-linear regression.

Low educational attainment, unemployment and indebtedness were associated with both moderate/severe depression (PHQ-9 score >9) and severe depression only (PHQ-9 score >14), whereas age, caste and marital status were associated with only moderate or severe depression. Religion, type of house, land ownership and amount of loan taken were not associated with either moderate/severe or only severe depression. The contact coverage for moderate/severe depression was 13.08% (95% CI 10.2–16.63).

There is an urgent need to bridge the treatment gap by targeting individuals with social vulnerabilities and integrating evidence-based interventions in primary care.

Formal thought disorder is a cardinal feature of psychosis. However, the extent to which formal thought disorder is evident in ultra-high-risk individuals and whether it is linked to the progression to psychosis remains unclear.

Examine the severity of formal thought disorder in ultra-high-risk participants and its association with future psychosis.

The Thought and Language Index (TLI) was used to assess 24 ultra-high-risk participants, 16 people with first-episode psychosis and 13 healthy controls. Ultra-high-risk individuals were followed up for a mean duration of 7 years (s.d.=1.5) to determine the relationship between formal thought disorder at baseline and transition to psychosis.

TLI scores were significantly greater in the ultra-high-risk group compared with the healthy control group (effect size (ES)=1.2), but lower than in people with first-episode psychosis (ES=0.8). Total and negative TLI scores were higher in ultra-high-risk individuals who developed psychosis, but this was not significant. Combining negative TLI scores with attenuated psychotic symptoms and basic symptoms predicted transition to psychosis (P=0.04; ES=1.04).

TLI is beneficial in evaluating formal thought disorder in ultra-high-risk participants, and complements existing instruments for the evaluation of psychopathology in this group.

Examining neurometabolic abnormalities in critical brain areas in schizophrenia and major depressive disorder (MDD) may help guide future pharmacological interventions including glutamate-modulating treatments.

To measure metabolite concentrations within the anterior cingulate cortex (ACC) and thalamus of people with schizophrenia and people with MDD.

Spectra were acquired from 16 volunteers with schizophrenia, 17 with MDD and 18 healthy controls using magnetic resonance spectroscopy on a 7 Tesla scanner.

In the thalamus, there were lower glycine concentrations in the schizophrenia group relative to control (P=0.017) and MDD groups (P=0.012), and higher glutamine concentrations relative to healthy controls (P=0.009). In the thalamus and the ACC, the MDD group had lower myo-inositol concentrations than the control (P=0.014, P=0.009, respectively) and schizophrenia (P=0.004, P=0.002, respectively) groups.

These results support the glutamatergic theory of schizophrenia and indicate a potential glycine deficiency in the thalamus. In addition, reduced myo-inositol concentrations in MDD suggest its involvement in the disorder.

Studies of the association between pre-deployment cognitive ability and post-deployment post-traumatic stress disorder (PTSD) have shown mixed results.

To study the inflence of pre-deployment cognitive ability on PTSD symptoms 6–8 months post-deployment in a large population while controlling for pre-deployment education and deployment-related variables.

Study linking prospective pre-deployment conscription board data with post-deployment self-reported data in 9695 Danish Army personnel deployed to different war zones in 1997–2013. The association between pre-deployment cognitive ability and post-deployment PTSD was investigated using repeated-measure logistic regression models. Two models with cognitive ability score as the main exposure variable were created (model 1 and model 2). Model 1 was only adjusted for pre-deployment variables, while model 2 was adjusted for both pre-deployment and deployment-related variables.

When including only variables recorded pre-deployment (cognitive ability score and educational level) and gender (model 1), all variables predicted post-deployment PTSD. When deployment-related variables were added (model 2), this was no longer the case for cognitive ability score. However, when educational level was removed from the model adjusted for deployment-related variables, the association between cognitive ability and post-deployment PTSD became significant.

Pre-deployment lower cognitive ability did not predict post-deployment PTSD independently of educational level after adjustment for deployment-related variables.

Hypomanic symptoms may be a useful predictor of mood disorder among young people at high risk for bipolar disorder.

To determine whether hypomanic symptoms differentiate offspring of parents with bipolar disorder (high risk) and offspring of well parents (control) and predict the development of mood episodes.

High-risk and control offspring were prospectively assessed using semi-structured clinical interviews annually and completed the Hypomania Checklist-32 Revised (HCL-32). Clinically significant sub-threshold hypomanic symptoms (CSHS) were coded.

HCL-32 total and active or elated scores were higher in control compared with high-risk offspring, whereas 14% of high-risk and 0% of control offspring had CSHS. High-risk offspring with CSHS had a fivefold increased risk of developing recurrent major depression (P=0.0002). The median onset of CSHS in high-risk offspring was 16.4 (6–31) years and was before the onset of major mood episodes.

CSHS are precursors to major mood episodes in high-risk offspring and could identify individuals at ultra-high risk for developing bipolar disorder.

Although the importance and advantages of measurement-based care in mental healthcare are well established, implementation in daily practice is complex and far from optimal.

To accelerate the implementation of outcome measurement in routine clinical practice, a government-sponsored National Quality Improvement Collaborative was initiated in Dutch-specialised mental healthcare.

To investigate the effects of this initiative, we combined a matched-pair parallel group design (21 teams) with a cluster randomised controlled trial (RCT) (6 teams). At the beginning and end, the primary outcome ‘actual use and perceived clinical utility of outcome measurement’ was assessed.

In both designs, intervention teams demonstrated a significant higher level of implementation of outcome measurement than control teams. Overall effects were large (parallel group d=0.99; RCT d=1.25).

The National Collaborative successfully improved the use of outcome measurement in routine clinical practice.

An original cohort study found that over half of the individuals detained under Section 136 (S136) of the Mental Health Act 1983 were discharged home after assessment, and nearly half were intoxicated.

To investigate whether the cohort was followed up by psychiatric services, characterise those repeatedly detained and assess whether substance use was related to these outcomes.

Data were retrospectively collected from the notes of 242 individuals, who presented after S136 detention to a place of safety over a 6-month period, and were followed up for 1 year.

After 1 year, 48% were in secondary care. Those with psychosis were the most likely to be admitted. Diagnoses of personality disorder or substance use were associated with multiple detentions; however, few were in contact with secondary services.

Crisis and long-term care pathways for these groups need to be developed to reduce repeated and unnecessary police detention.

The psychiatric health burden of prisoners is substantial. However, there is a lack of high-quality studies of psychiatric disorders among young adults with a high risk of reoffending.

To investigate the lifetime prevalence of psychiatric disorders and use of mental health services among young male violent offenders and the impact of childhood-onset conduct disorder (COCD).

A nationally representative cohort (n = 270, age 18–25) of male offenders was followed back in medical records and clinically assessed by gold standard methods. Lifetime prevalences are presented together with odds ratios (ORs) as risk estimates in relation to COCD.

Previous use of psychiatric services among the participants was high but their lifetime psychiatric morbidity was even higher, with 93% meeting criteria for at least one Axis I disorder. The COCD group was overrepresented in most clinical categories and carried five times higher odds (OR = 5.1, 95% CI 2.0–12.8) of a psychotic disorder, three times higher odds (OR = 3.2, 95% CI 1.2–8.5) of a substance use disorder and two times higher odds of a mood disorder (OR = 2.3, 95% CI 1.3–4.0) or anxiety disorder (OR = 2.0, 95% CI 1.1–3.5).

The mental health burden is substantial among young violent offenders, and COCD is an important indicator of future mental health problems which must be a priority for public health efforts.

There is limited data on the recovery of factors associated with decisional capacity in patients with psychosis.

To study the relationship between changes in mental capacity, symptoms and global functioning using structured measures during treatment for psychosis.

Fifty-six patients with psychosis were assessed for capacity to consent to treatment on admission and at 6 and 12 weeks following treatment. The MacArthur Competence Assessment Tool – Treatment, the Positive and Negative Symptom Scale and the Global Assessment of Functioning Scale were used to measure mental capacities, symptom severity and global functioning respectively. Treating consultants rated capacity to consent, masked to these measures.

Greater impairments on all measures were found in patients assessed as lacking capacity. These improved with treatment over 12 weeks with significant effect sizes (0.5 to 0.6). Stronger correlations between mental capacities, positive symptoms (-0.47) and global functioning (0.56) were noted in the first 6 weeks.

Impairments in capacity in acute stages of psychosis are related to symptom severity and functional impairment. They improve during treatment, particularly in the first 6 weeks.

Transition from at-risk state to full syndromal mental disorders is underexplored for unipolar and bipolar disorders compared with psychosis.

Prospective, trans-diagnostic study of rates and predictors of early transition from sub-threshold to full syndromal mental disorder.

One-year outcome of 243 consenting youth aged 15–25 years with a sub-syndromal presentation of a potentially severe mental disorder. Survival analysis and odds ratio (OR) for predictors of transition identified from baseline clinical and demographic ratings.

About 17% (n=36) experienced transition to a major mental disorder. Independent of syndromal diagnosis, transition was significantly more likely in individuals who were NEET (not in education, employment or training), in females and in those with more negative psychological symptoms (e.g. social withdrawal).

NEET status and negative symptoms are modifiable predictors of illness trajectory across diagnostic categories and are not specific to transition to psychosis.

Agitation is reportedly the most common neuropsychiatric symptom in care home residents with dementia.

To report, in a large care home survey, prevalence and determinants of agitation in residents with dementia.

We interviewed staff from 86 care homes between 13 January 2014 and 12 November 2015 about residents with dementia with respect to agitation (Cohen-Mansfield Agitation Inventory (CMAI)), quality of life (DEMQOL-proxy) and dementia severity (Clinical Dementia Rating). We also interviewed residents and their relatives. We used random effects models adjusted for resident age, gender, dementia severity and care home type with CMAI as a continuous score.

Out of 3053 (86.2%) residents who had dementia, 1489 (52.7%) eligible residents participated. Fifteen per cent of residents with very mild dementia had clinically significant agitation compared with 33% with mild (odds ratios (ORs)=4.49 95% confidence interval (CI)=2.30) and 45% with moderate or severe dementia (OR=6.95 95% CI=3.63, 13.31 and OR=6.23 95% CI=3.25, 11.94, respectively). More agitation was associated with lower quality of life (regression coefficient (rc)=-0.53; 95% CI=-0.61, -0.46) but not with staffing or resident ratio (rc=0.03; 95% CI=-0.04, 0.11), level of residents' engagement in home activities (rc=3.21; 95% CI=-0.82, 7.21) or family visit numbers (rc=-0.03; 95% CI=-0.15, 0.08). It was correlated with antipsychotic use (rc=6.45; 95% CI=3.98, 8.91).

Care home residents with dementia and agitation have lower quality of life. More staffing time and activities as currently provided are not associated with lower agitation levels. New approaches to develop staff skills in understanding and responding to the underlying reasons for individual resident's agitation require development and testing.

Capgras delusion is scientifically important but most commonly reported as single case studies. Studies analysing large clinical records databases focus on common disorders but none have investigated rare syndromes.

Identify cases of Capgras delusion and associated psychopathology, demographics, cognitive function and neuropathology in light of existing models.

Combined computational data extraction and qualitative classification using 250 000 case records from South London and Maudsley Clinical Record Interactive Search (CRIS) database.

We identified 84 individuals and extracted diagnosis-matched comparison groups. Capgras was not ‘monothematic’ in the majority of cases. Most cases involved misidentified family members or close partners but others were misidentified in 25% of cases, contrary to dual-route face recognition models. Neuroimaging provided no evidence for predominantly right hemisphere damage. Individuals were ethnically diverse with a range of psychosis spectrum diagnoses.

Capgras is more diverse than current models assume. Identification of rare syndromes complements existing ‘big data’ approaches in psychiatry.

Suicidal behaviour is the end result of the complex relation between many factors which are biological, psychological and environmental in nature. Network analysis is a novel method that may help us better understand the complex association between different factors.

To examine the relationship between suicidal symptoms as assessed by the Beck Scale for Suicide Ideation and future suicidal behaviour in patients admitted to hospital following a suicide attempt, using network analysis.

Secondary analysis was conducted on previously collected data from a sample of 366 patients who were admitted to a Scottish hospital following a suicide attempt. Network models were estimated to visualise and test the association between baseline symptom network structure and suicidal behaviour at 15-month follow-up.

Network analysis showed that the desire for an active attempt was found to be the most central, strongly related suicide symptom. Of the 19 suicide symptoms that were assessed at baseline, 10 symptoms were directly related to repeat suicidal behaviour. When comparing baseline network structure of repeaters (n=94) with the network of non-repeaters (n=272), no significant differences were found.

Network analysis can help us better understand suicidal behaviour by visualising the complex relation between relevant symptoms and by indicating which symptoms are most central within the network. These insights have theoretical implications as well as informing the assessment and treatment of suicidal behaviour.