Intimate partner violence perpetration and mental health service use in England: analysis of nationally representative survey data.

BACKGROUND: Intimate partner violence perpetration (IPVP) is associated with psychiatric disorders, but an association with mental health service use has not been fully established and is relevant for policy. Mental health service contact by perpetrators of intimate partner violence presents an opportunity for reducing harmful behaviours. AIMS: To examine the association between IPVP and mental health service use. METHOD: Analysis of national probability sample data from the 2014 Adult Psychiatric Morbidity Survey, testing for associations between lifetime IPVP and mental health service use. We assessed the impact of missing data with multiple imputation and examined misreporting using probabilistic bias analysis. RESULTS: The prevalence of reported lifetime IPVP was similar for men (8.0%) and women (8.6%). Before adjustments, IPVP was associated with mental health service use (odds ratio (OR) for any mental health service use in the past year for men: 2.8 (95% CI: 1.8-4.2), for women: 2.8 (95% CI: 2.1-3.8)). Adjustments for intimate partner violence victimisation and other life adversities had an attenuative influence. Associations remained on restricting comparisons with those without criminal justice involvement (OR for any mental health service use in the past year for men: 2.9 (95% CI: 1.7-4.8), for women: 2.3 (95% CI: 1.7-3.2)). CONCLUSION: The strong association of IPVP with mental health service use is partly attributable to the concurrent presence of intimate partner violence victimisation and other life adversities. Efforts to improve the identification and assessment of IPVP in mental health services could benefit population health.

Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study.

OBJECTIVE: This paper evaluates the application of a natural language processing (NLP) model for extracting clinical text referring to interpersonal violence using electronic health records (EHRs) from a large mental healthcare provider. DESIGN: A multidisciplinary team iteratively developed guidelines for annotating clinical text referring to violence. Keywords were used to generate a dataset which was annotated (ie, classified as affirmed, negated or irrelevant) for: presence of violence, patient status (ie, as perpetrator, witness and/or victim of violence) and violence type (domestic, physical and/or sexual). An NLP approach using a pretrained transformer model, BioBERT (Bidirectional Encoder Representations from Transformers for Biomedical Text Mining) was fine-tuned on the annotated dataset and evaluated using 10-fold cross-validation. SETTING: We used the Clinical Records Interactive Search (CRIS) database, comprising over 500 000 de-identified EHRs of patients within the South London and Maudsley NHS Foundation Trust, a specialist mental healthcare provider serving an urban catchment area. PARTICIPANTS: Searches of CRIS were carried out based on 17 predefined keywords. Randomly selected text fragments were taken from the results for each keyword, amounting to 3771 text fragments from the records of 2832 patients. OUTCOME MEASURES: We estimated precision, recall and F1 score for each NLP model. We examined sociodemographic and clinical variables in patients giving rise to the text data, and frequencies for each annotated violence characteristic. RESULTS: Binary classification models were developed for six labels (violence presence, perpetrator, victim, domestic, physical and sexual). Among annotations affirmed for the presence of any violence, 78% (1724) referred to physical violence, 61% (1350) referred to patients as perpetrator and 33% (731) to domestic violence. NLP models' precision ranged from 89% (perpetrator) to 98% (sexual); recall ranged from 89% (victim, perpetrator) to 97% (sexual). CONCLUSIONS: State of the art NLP models can extract and classify clinical text on violence from EHRs at acceptable levels of scale, efficiency and accuracy.

First episode of psychosis in Guam: The role of ethnicity and neighbourhood factors.

OBJECTIVE: Ethnicity, neighbourhood ethnic density, and four additional neighbourhood factors (urbanicity, crime, voting, and poverty) were examined in relation to the incidence of first episode of psychosis (FEP) in the Pacific Island of Guam. METHODS: All first contact patients seen at the Guam Department of Mental Health and Substance Abuse (DMHSA) between January 2005 and December 2007 that met DSM-IV criteria for the diagnosis of a psychotic disorder were included. At the time of the study, DMHSA was the only psychiatric facility in Guam. RESULTS: After controlling for age and gender, Chamorros, the indigenous people of Guam, had a standardized incidence rate (IR = 151/100 000 person-years, 95%CI = 129-173) of FEP over twice that of Whites (IR = 66/100 000 person-years, 95%CI = 34-99). Individuals from Palau had the highest standardized incidence rate (IR = 832/100 000 person-years, 95%CI = 581-1083). Increased neighbourhood Chamorro density was associated with decreased incidence of FEP among Chamorro individuals (IRR = 0.11, 95%CI = 0.03-0.43). After controlling for age, gender, ethnicity, and other neighbourhood factors, urbanicity (IRR = 3.82, 95%CI = 1.86-7.81), voting (IRR = 2.06, 95%CI = 1.32-3.20), poverty (IRR = 1.94, 95%CI = 1.40-2.67), and crime (IRR = 1.18, 95%CI = 1.00-1.40) remained statistically associated with FEP incidence. CONCLUSIONS: The findings add to prior research that suggests that rates of mental health problems are higher in indigenous than in settler communities and are highest for indigenous people who live in neighbourhoods with few other indigenous individuals. Findings also suggest that even on a small island, with only ~150 000 people, urbanicity is associated with FEP. Finally, results are consistent with other research suggesting that the reduction of crime and social adversity can play a positive role in reducing the incidence of first episode psychosis.

Interpersonal violence in a deprived Scottish urban area with aggregations of physical health risks and psychiatric morbidity: an ecological study.

BACKGROUND: Glasgow, Scotland, has previously shown exceptional levels of violence among young men, shows aggregations of health conditions, with shortened life expectancy. Health conditions can be both causes and consequences of violence, of shared community-level socio-economic risk factors, and can result from large-scale social forces beyond the control of populations with high levels of violence. The aim of the study was to provide an in depth understanding of the Public Health problem of violence among young adult men in Glasgow East. METHOD: Ecological investigation of violence and its associations with health conditions in areas of contrasting socioeconomic deprivation. National survey of 1916 British men aged 18-34 years, augmented by a sub-sample of 765 men in Glasgow East (GE). Participants completed questionnaires covering current physical and sexual health, psychiatric symptoms, substance misuse, lifestyle, and crime and violence. RESULTS: The 5-year prevalence of violence was similar in both surveys but fights involving weapons (AOR 3.32, 95% CI 2.29-4.79), gang fights (AOR 2.30, 95% CI 1.77-2.98), and instrumental violence supporting criminal lifestyles were more common in GE, where 1 in 9 men had been in prison. Violent men in both samples reported poorer physical and sexual health and all types of psychiatric morbidity except depression, with multiple high-risk behaviours for both future poor health and violence. Associations between drug and alcohol dependence and violence in GE could not be entirely explained by deprivation. CONCLUSION: Violence in deprived urban areas is one among many high-risk behaviours and lifestyle factors leading to, as well as resulting from, aggregations of both psychiatric and physical health conditions. Poverty partly explained raised levels of violence in GE. Other factors such as drug and alcohol misuse and macho attitudes to violence, highly prevalent among men in this socially excluded community, also contributed. Multi-component preventive interventions may be needed in deprived areas and require future investigations into how multiple co-existing risk factors produce multimorbidity, including psychiatric disorders, substance misuse, poor physical health and violence.

Unequal effects of climate change and pre-existing inequalities on the mental health of global populations.

Climate change is already having unequal effects on the mental health of individuals and communities and will increasingly compound pre-existing mental health inequalities globally. Psychiatrists have a vital part to play in improving both awareness and scientific understanding of structural mechanisms that perpetuate these inequalities, and in responding to global calls for action to promote climate justice and resilience, which are central foundations for good mental and physical health.

The association of migration and ethnicity with use of the Improving Access to Psychological Treatment (IAPT) programme: a general population cohort study.

BACKGROUND: Common mental disorders (CMD), such as depression and anxiety, are an important cause of morbidity, economic burden and public mental health need. The UK Improving Access to Psychological Therapies (IAPT) programme is a national effort to reduce the burden and impact of CMD, available since 2008. AIMS: To examine ethnic and migration-related differences in use of IAPT-based psychological treatment using a novel epidemiological dataset with linkage to de-identified IAPT records. METHOD: Data from a psychiatric morbidity survey of two South East London boroughs (2008-2010) were individually-linked to data on IAPT services serving those boroughs. We used Poisson regression to estimate association between ethnicity and migration status (including years of UK residence), with rate of subsequent use of psychological treatment. RESULTS: The rate of psychological treatment use was 14.4 cases per thousand person years [cases/1000 pyrs, 95% confidence intervals (95% CI) 12.4, 16.7]. There was strong statistical evidence that compared to non-migrants, migrants residing in the UK for less than 10 years were less likely to use psychological treatment after adjustment for probable sociodemographic predictors of need, life adversity, and physical/psychiatric morbidity at baseline [rate ratio (RR) 0.4 (95% CI 0.20, 0.75]. This difference was not explained by migration for asylum/political reasons, or English language proficiency, and was evident for both self- and GP referrals. CONCLUSIONS: Lower use of IAPT among recent migrants is unexplained by sociodemographics, adversity, and baseline morbidity. Further research should focus on other individual-level and societal barriers to psychological treatment use among recent migrants to the UK, including in categories of intersecting migration and ethnicity.

Psychotic experiences, psychiatric comorbidity and mental health need in the general population: a cross-sectional and cohort study in Southeast London.

BACKGROUND: Co-occurrence of common mental disorders (CMD) with psychotic experiences is well-known. There is little research on the public mental health relevance of concurrent psychotic experiences for service use, suicidality, and poor physical health. We aim to: (1) describe the distribution of psychotic experiences co-occurring with a range of non-psychotic psychiatric disorders [CMD, depressive episode, anxiety disorder, probable post-traumatic stress disorder (PTSD), and personality dysfunction], and (2) examine associations of concurrent psychotic experiences with secondary mental healthcare use, psychological treatment use for CMD, lifetime suicide attempts, and poor self-rated health. METHODS: We linked a prospective cross-sectional community health survey with a mental healthcare provider database. For each non-psychotic psychiatric disorder, patients with concurrent psychotic experiences were compared to those without psychotic experiences on use of secondary mental healthcare, psychological treatment for CMD, suicide attempt, physical functioning, and a composite multimorbidity score, using logistic regression and Cox regressions. RESULTS: In all disorders except for anxiety disorder, concurrent psychotic experiences were accompanied by a greater odds of all outcomes (odds ratios) for a unit change in composite multimorbidity score ranged between 2.21 [95% confidence interval (CI) 1.49-3.27] and 3.46 (95% CI 1.52-7.85). Hazard ratios for secondary mental health service use for non-psychotic disorders with concurrent psychotic experiences, ranged from 0.53 (95% CI 0.15-1.86) for anxiety disorders with psychotic experiences to 4.99 (95% CI 1.22-20.44) among those with PTSD with psychotic experiences. CONCLUSIONS: Co-occurring psychotic experiences indicate greater public mental health burden, suggesting psychotic experiences could be a marker for future preventive strategies improving public mental health.

CAPE Vulnerability Index.

The Compassion, Assertive action, Pragmatism and Evidence (CAPE) Vulnerability Index is a global foreign policy index which has been used to identify countries which require foreign aid and how that can be prioritized. The Index offers an evidenced, structured, and reasoned approach to using aid in bi-lateral agreements with mental health as a foundation. This study used 26 internationally available and validated indicators to explore and perform the analysis leading to the development of the Index. As with many summary statistics used to describe matters across the globe there has to be a fundamental reliance on national reporting or gathering of the underlying information used in their derivation, although their reliability may be in question and, in addition, such an exercise can be refined and repeated every year. It is concluded that the countries which score worse on the Index are likely to be failed states or fragile states: countries where the governments do not have complete control or authority. Such governments can often be repressive and corrupt, may participate in serious human rights abuses, and are characterized by conflict of various forms. These governments are also likely to suffer disadvantage as a result of extremes of climate changes, extreme poverty, inequality, social and ethnic divisions, the inability to provide basic services, and suffer from pockets of insurgency in the form of terrorism, which are often violent and brutal.

The association between neighbourhood characteristics and physical victimisation in men and women with mental disorders.

BACKGROUND: How neighbourhood characteristics affect the physical safety of people with mental illness is unclear. AIMS: To examine neighbourhood effects on physical victimisation towards people using mental health services. METHOD: 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. RESULTS: 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. CONCLUSIONS: 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.

Association of prior depressive symptoms and suicide attempts with subsequent victimization: analysis of population-based data from the Adult Psychiatric Morbidity Survey.

BACKGROUND: Symptoms of mental disorder, particularly schizophrenia, predispose to victimization. Much less is known about the relationship between depressive symptoms and later victimization in the general population, the influence of these symptoms on types of subsequent victimization, or the role of symptom severity. We investigated this in nationally representative data from the United Kingdom. METHODS: Data were from the Adult Psychiatric Morbidity Survey 2007. Multivariable logistic regressions estimated association between (a) prior depressive symptoms, (b) prior depressive symptoms with suicide attempt, and types of more recent victimization. Gender-specific associations were estimated using multiplicative interactions. RESULTS: Prior depressive symptoms were associated with greater odds of any recent intimate partner violence (IPV), emotional IPV, sexual victimization, workplace victimization, any victimization, and cumulative victimization (adjusted odds ratio [aOR] for increasing types of recent victimization: 1.47, 95% confidence interval [CI]: 1.14, 1.89). Prior depressive symptoms with suicide attempt were associated with any recent IPV, emotional IPV, any victimization, and cumulative victimization (aOR for increasing types of recent victimization: 2.33, 95% CI: 1.22, 4.44). Self reported recalled data on previous depressive symptoms may have limited accuracy. Small numbers of outcomes for some comparisons results in imprecision of these estimates. CONCLUSIONS: Aside from severe mental illness such as schizophrenia, previous depressive symptoms in the general population are associated with greater subsequent victimization. Men and women with prior depressive symptoms may be vulnerable to a range of types of victimization, and may benefit from interventions to reduce this vulnerability.

Clozapine Treatment and Offending: A Within-Subject Study of Patients With Psychotic Disorders in Sweden.

Clozapine treatment may have beneficial effects on behavioral outcomes in psychotic disorders, including violent offending. Although clozapine and other antipsychotics have been linked to lower levels of violent behavior, these have been primarily in small selected samples, and population-based estimates have been limited and imprecise. We aimed to assess the effect of clozapine treatment on the rate of violent and nonviolent offending. We carried out a within-person mirror-image study of the Swedish population with linked prescription, hospitalization, and sociodemographic registers. Outcomes were violent, nonviolent, and overall offences occurring before and after clozapine, or olanzapine, initiation. Comparison of effects of clozapine and olanzapine on key variables was modeled with interaction terms. We found periods of mirror-image observation time with clozapine treatment were associated with a much lower rate of violent offending compared to periods before treatment (rate ratio [RR]: 0.13 (95% CI: 0.05, 0.34). Reductions in nonviolent offences were smaller in magnitude (RR: 0.37, 95% CI: 0.17, 0.80). There was a statistically greater rate reduction effect on violent offences for clozapine than olanzapine (RR for interaction: 4.84, 95% CI: 1.56, 14.86, P = .002). In patients with psychotic disorders, clozapine treatment is associated with a lower rate of violent offending compared to olanzapine.

Ethnic density and other neighbourhood associations for mortality in severe mental illness: a retrospective cohort study with multi-level analysis from an urbanised and ethnically diverse location in the UK.

BACKGROUND: Neighbourhood social context might play a role in modifying mortality outcomes in severe mental illness, but has received little attention to date. Therefore, we aimed to assess in an ethnically diverse and urban location the association of neighbourhood-level characteristics and individual-level factors for all-cause, natural-cause, and unnatural-cause mortality in those with severe mental illness. METHODS: We did a retrospective cohort study using a case-registry from a large secondary mental health-care Trust in an ethnically diverse and urban location in south London, UK. Linked data for deaths and areas of residence were identified from the case-registry. We included all individuals aged 15 years or more at the time of diagnosis for a severe mental illness from Jan 1, 2007, to Dec 31, 2014. We used individual-level information in our analyses, such as gender, marital status, and the presence of current or previous substance use disorders. We assessed neighbourhood or area-level indicators at the Lower Super Output Area level. Association of neighbourhood-level characteristics, which included the interaction between ethnicity and own ethnic density, deprivation, urbanicity, and social fragmentation, alongside individual-level factors for all-cause, natural-cause, and unnatural-cause mortality in those with severe mental illness was assessed. FINDINGS: A total of 18 201 individuals were included in this cohort for analyses, with a median follow-up of 6·36 years. There were 1767 (9·7%) deaths from all causes, 1417 (7·8%) from natural causes, and 192 (1·1%) from unnatural causes. In the least ethnically dense areas, the adjusted rate ratio (aRR) for all-cause mortality in ethnic minority groups with severe mental illness compared with white British people with severe mental illness were similar (aRR 0·96, 95% CI 0·71-1·29); however in the highest ethnic density areas, ethnic minority groups with severe mental illness had a lower risk of death (aRR 0·52, 95% CI 0·38-0·71; p<0·0001), with similar trends for natural-cause mortality (p=0·071 for statistical interaction). In the cohort with severe mental illness, residency in deprived, urban, and socially fragmented neighbourhoods was not associated with higher mortality rates. Compared with the general population, age-standardised and gender-standardised mortality ratios were elevated in the cohort with severe mental illness across all neighbourhood-level characteristics assessed. INTERPRETATION: For ethnic minority groups with severe mental illness, residency in areas of higher own-group ethnic density is associated with lower mortality compared to white British groups with severe mental illness. FUNDING: Health Foundation, National Institute for Health Research, EU Seventh Framework, and National Institute of Mental Health.

Regional differences in mental health stigma-Analysis of nationally representative data from the Health Survey for England, 2014.

BACKGROUND: Mental health stigma persists despite coordinated and widely-evaluated interventions. Socioeconomic, structural, and regional context may be important in shaping attitudes to mental illness, and response to stigma interventions. Regional differences in attitudes towards mental illness could be relevant for intervention, but have not been systematically explored. We evaluated regional variation in mental health stigma using nationally representative data from England, the Health Survey for England (HSE), from 2014. METHODS: A previously derived scale for mental health-related attitudes with 2 factors (i. tolerance and support, ii. prejudice and exclusion), and overall attitudes, were outcomes. Weighted linear regressions estimated contribution of individual characteristics and region of residence to inter-individual variability in mental health-related attitudes. RESULTS: London and southern regions tended to have more negative mental health-related attitudes. These differences were not fully or consistently explained by individual sociodemographic characteristics, or personal familiarity with mental illness. CONCLUSIONS: Stigma policies could require refinements based on geographic setting. Regions may be in particular need of stigma interventions, or be more resistant to them. Regional differences might be related to media coverage of mental illness, funding differences, service availability, or accessibility of educational opportunities. Greater geographic detail is necessary to examine reasons for regional variation in stigmatizing attitudes towards people with mental illness, for example through multilevel analysis.