Clinical risk assessment rating and all-cause mortality in secondary mental healthcare: the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) Case Register

Perinatal Mental Health during COVID-19 Pandemic: An Integrative Review and Implications for Clinical Practice

The COVID-19 pandemic and measures implemented to decelerate its spread have consequences for mental health of societies. The aim of our review was to analyze depressive and anxiety symptoms in perinatal women. The search used PubMed and Web of Science databases. Most studies showed an increase in the prevalence of depression and/or anxiety symptoms. Risk factors identified in our study were mainly related to the possibility of COVID-19 infection, changes in the organization of perinatal care, social isolation and financial problems. Protective factors included social support, the woman’s own activity and knowledge about COVID-19. The results of our study point to the importance of the mental health screening including suicide risk assessment in perinatal women. Much of the mental health needs of perinatal women can be met in primary or perinatal care services; however, women with mental health issues should be offered psychiatric consultations and psychological support, and sometimes urgent psychiatric hospitalization is necessary. Healthcare professionals should provide information addressing uncertainty about COVID-19, organization of midwifery and medical care as well as mental health problems and how to get help. Mental health interventions in pregnant women may involve planning physical activity and encouraging to engage in online social activities.

Examination of risk assessment tools developed to evaluate risks in mental health areas: A systematic review

The purpose of this research was to identify and examine risk assessment tools evaluating at least two risk dimensions to evaluate the risk assessments of patients in mental health areas in a more comprehensive and standard manner. This systematic review was prepared according to the PRISMA guidelines. The databases to be scanned and the keywords to be entered were identified before scanning the literature. The keywords risk assessment, risk management, mental health, psychiatry, risk assessment scales, and risk assessment tools were scanned. The CINAHL, EMBASE, PsycInfo, Medline, APA PsycNET, Science Direct, Pubmed, ProQuest, and Google Scholar databases were searched. All full-text articles published between December 30th, 1970, and January 1st, 2020, were examined. A total of 7385 papers were investigated using the keywords listed above, and 18 studies meeting the inclusion criteria were identified. The tools involved were SPC, FACE, Clinical Risk Management, Threshold Assessment Grid, Risk Assessment for People with Mental Health Problems, Psychogeriatric and Risk Behavior Assessment Scale, Sainsbury Risk Assessment Tool, Risk Assessment Management and Audit Systems, Generic Integrated Risk Assessment for Forensic Environments, FRAME, Brief Risk Assessment, Clinical Assessment of Risks to Self & Others, RIO, The Risk Assessment and Management, Risk Assessment and Management Self-Efficacy Study, Galatean Risk and Safety Tool, Short-Term Assessment of Risk and Treatability, and Psychiatric Risk Assessment Scale.

Individualized prediction of 2-year risk of relapse as indexed by psychiatric hospitalization following psychosis onset: Model development in two first episode samples

BACKGROUND

Although most patients with psychotic disorders experience relapse, it is not possible to predict whether or when an individual patient is going to relapse. We aimed to develop a multifactorial risk prediction algorithm for predicting risk of relapse in first episode psychosis (FEP).

METHODS

Data from two prospectively collected cohorts of FEP patients (N = 1803) were used to develop three multiple logistic prediction models to predict risk of relapse (defined as hospitalization) within the first 2 years of onset of psychosis. Model 1 (M1_S1) used data obtained from clinical notes (Sample 1) while model 2 (M2_S2) applied the same set of predictors using data obtained from research interviews (Sample 2). The final model (Sample 2: M3_S2) used the same predictors plus additional detailed information on predictors. Model performance was evaluated employing measures of overall accuracy, calibration, discrimination and internal validation.

RESULTS

In both samples, the 2-year probability of psychiatric hospitalization was 37%. Of all the models, discrimination accuracy was lowest when limited information (such as socio-demographic and clinical parameters) was included in the prediction model. Model M3_S2 using additional information (descriptors of pattern of cannabis, nicotine, alcohol and other illicit drug use) obtained from research interview had the best discrimination accuracy (Harrell's C index 0.749).

CONCLUSIONS

The measures that contributed most to predicting hospitalization are readily accessible in routine clinical practice, suggesting that a risk prediction tool based on these models would be clinically practicable following validation in independent samples and permit a personalized approach to relapse prevention in psychosis.

Mental health disorders research in Europe, 2001-2018

BACKGROUND

The burden of mental health disorders in Europe is well above the world average and has increased from 11.5% to 13.9% of the total disease burden in 2000 and 2015. That from dementia has increased rapidly, and overtaken that from depression as the leading component. There have been no analyses of the research activity in Europe to combat this burden.

METHODOLOGY

We identified research papers in the Web of Science (WoS) with a complex mental health disorders filter based on title words and journal names in the years 2001-18, and downloaded their details for analysis.

RESULTS

European mental health disorders research represented less than 6% of the total biomedical research. We estimate that research expenditure in Europe on mental health disorders amounted to about €5.4 billion in 2018. The Scandinavian countries, with Croatia and Estonia, published the most relative to their wealth, but the outputs of France and Romania were less than half the amounts expected.

DISCUSSION AND CONCLUSIONS

The burden from mental health disorders is increasing rapidly in Europe, but research was only half what would have been proportional. Suicide & self-harm, and alcohol misuse, were also neglected by researchers, particularly since the latter also causes many physical burdens, such as foetal alcohol syndrome, interpersonal violence, and road traffic accidents. Other relatively neglected subjects are sexual disorders, obsessive compulsive disorder, post-traumatic stress disorder, attention-deficit hyperactivity and sleep disorders. There is an increasing volume of research on alternative (non-drug) therapies, particularly for post-traumatic stress and eating disorders, notably in Germany.

Critical Periods for Increased Mortality After Discharge From Inpatient Mental Health Units: Opportunities for Prevention

OBJECTIVE

Studies of patients in the U.S. Department of Veterans Affairs (VA) health system and elsewhere have documented elevated mortality from suicide during a critical period within 30 to 90 days after discharge from inpatient mental health units. To support program planning, VA evaluated whether the elevated mortality during this critical period was specific to suicide or whether there were similar increases in other causes of death.

METHODS

Indicators of age, gender, inpatient diagnoses, and suicide attempts and ideation from VA records were combined with indicators of vital status and cause of death from the National Death Index. Analyses compared all-cause and cause-specific mortality in the first 30 and 90 days postdischarge with mortality in days 91 to 365 after discharge for the 106,430 VA patients discharged from inpatient mental health units in 2013-2014.

RESULTS

Elevated mortality during the first 30 and first 90 days after discharge was not specific to suicide. Higher rates of all-cause mortality were noted, including elevated mortality due to external causes other than suicide among young and middle-aged patients (ages 18-64) during the first 30 days and among older patients (≥65) during the first 90 days. An increase in natural-cause mortality among older patients was attributable to greater mortality among those with dementia diagnoses.

CONCLUSIONS

Elevated rates of nonsuicide external-cause mortality in the critical period within 30 to 90 days after discharge from inpatient mental health care suggest important opportunities for prevention. Greater mortality among patients with dementia or related neurodegenerative diseases raises questions regarding current strategies for managing behavioral symptoms and transitions to end-of-life care.

Rates and Associated Factors of Secondary Mental Health Care Utilisation among Ex-Military Personnel in the United States: A Narrative Review

Little is known about ex-serving military personnel who access secondary mental health care. This narrative review focuses on studies that quantitatively measure secondary mental health care utilisation in ex-serving personnel from the United States. The review aimed to identify rates of mental health care utilisation, as well as the factors associated with it. The electronic bibliographic databases OVID Medline, PsycInfo, PsycArticles, and Embase were searched for studies published between January 2001 and September 2018. Papers were retained if they included ex-serving personnel, where the majority of the sample had deployed to the recent conflicts in Iraq or Afghanistan. Fifteen studies were included. Modest rates of secondary mental health care utilisation were found in former military members-for mean percentage prevalence rates, values ranged from 12.5% for at least one psychiatric inpatient episode, to 63.2% for at least one outpatient mental health appointment. Individuals engaged in outpatient care visits most often, most likely because these appointments are the most commonly offered source of support. Post-traumatic stress disorder, particularly re-experiencing symptoms, and comorbid mental health problems were most consistently associated with higher mental health care utilisation. Easily accessible interventions aimed at facilitating higher rates of help seeking in ex-serving personnel are recommended.

The Camden & Islington Research Database: Using electronic mental health records for research

BACKGROUND

Electronic health records (EHRs) are widely used in mental health services. Case registers using EHRs from secondary mental healthcare have the potential to deliver large-scale projects evaluating mental health outcomes in real-world clinical populations.

METHODS

We describe the Camden and Islington NHS Foundation Trust (C&I) Research Database which uses the Clinical Record Interactive Search (CRIS) tool to extract and de-identify routinely collected clinical information from a large UK provider of secondary mental healthcare, and demonstrate its capabilities to answer a clinical research question regarding time to diagnosis and treatment of bipolar disorder.

RESULTS

The C&I Research Database contains records from 108,168 mental health patients, of which 23,538 were receiving active care. The characteristics of the patient population are compared to those of the catchment area, of London, and of England as a whole. The median time to diagnosis of bipolar disorder was 76 days (interquartile range: 17-391) and median time to treatment was 37 days (interquartile range: 5-194). Compulsory admission under the UK Mental Health Act was associated with shorter intervals to diagnosis and treatment. Prior diagnoses of other psychiatric disorders were associated with longer intervals to diagnosis, though prior diagnoses of schizophrenia and related disorders were associated with decreased time to treatment.

CONCLUSIONS

The CRIS tool, developed by the South London and Maudsley NHS Foundation Trust (SLaM) Biomedical Research Centre (BRC), functioned very well at C&I. It is reassuring that data from different organizations deliver similar results, and that applications developed in one Trust can then be successfully deployed in another. The information can be retrieved in a quicker and more efficient fashion than more traditional methods of health research. The findings support the secondary use of EHRs for large-scale mental health research in naturalistic samples and settings investigated across large, diverse geographical areas.

Should Clinicians Split or Lump Psychiatric Symptoms? The Structure of Psychopathology in Two Large Pediatric Clinical Samples from England and Norway

It has been suggested that the structure of psychiatric phenomena can be reduced to a few symptom dimensions. These proposals, mainly based on epidemiological samples, may not apply to clinical populations. We tested the structure of psychiatric symptoms across two pediatric clinical samples from England (N = 8434) and Norway (N = 5866). Confirmatory factor analyses of the parent-reported Strengths and Difficulties Questionnaire (SDQ) evaluated the relative fit of several models, including a first-order model, a second-order model with the widely-established broad symptom dimensions of internalizing-externalizing, and two bi-factor models capturing a general psychopathology factor. Predictive value of the SDQ subscales for psychiatric disorders was examined. A first-order five-factor solution better fit the data. The expected SDQ subscale(s) related best to the corresponding psychiatric diagnosis. In pediatric clinical samples, a granular approach to psychiatric symptoms where several dimensions are considered seems to fit the data better than models based on lumping symptoms into internalizing/externalizing dimensions.

Can risk assessment predict suicide in secondary mental healthcare? Findings from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register

PURPOSE

The predictive value of suicide risk assessment in secondary mental healthcare remains unclear. This study aimed to investigate the extent to which clinical risk assessment ratings can predict suicide among people receiving secondary mental healthcare.

METHODS

Retrospective inception cohort study (n = 13,758) from the South London and Maudsley NHS Foundation Trust (SLaM) (London, UK) linked with national mortality data (n = 81 suicides). Cox regression models assessed survival from the last suicide risk assessment and ROC curves evaluated the performance of risk assessment total scores.

RESULTS

Hopelessness (RR = 2.24, 95% CI 1.05-4.80, p = 0.037) and having a significant loss (RR = 1.91, 95% CI 1.03-3.55, p = 0.041) were significantly associated with suicide in the multivariable Cox regression models. However, screening statistics for the best cut-off point (4-5) of the risk assessment total score were: sensitivity 0.65 (95% CI 0.54-0.76), specificity 0.62 (95% CI 0.62-0.63), positive predictive value 0.01 (95% CI 0.01-0.01) and negative predictive value 0.99 (95% CI 0.99-1.00).

CONCLUSIONS

Although suicide was linked with hopelessness and having a significant loss, risk assessment performed poorly to predict such an uncommon outcome in a large case register of patients receiving secondary mental healthcare.

Transformation of excess mortality in people with schizophrenia and bipolar disorder in Taiwan

BACKGROUND

Given the concerns regarding the adverse health outcomes associated with weight gain and metabolic syndrome in relation to use of second-generation antipsychotics (SGAs), we aimed in this study to explore whether the increase in the use of SGAs would have any impacts on the trend of excess mortality in people with schizophrenia and bipolar disorder (BPD).

METHOD

Two nationwide samples of individuals with schizophrenia and BPD were identified in Taiwan's National Health Insurance Research Database in 2003 and in 2008, respectively. Age- and gender-standardized mortality ratios (SMRs) were calculated for each of the 3-year observation periods. The SMRs were compared between the calendar year cohorts, by disease group, and by causes of death.

RESULTS

The mortality gap for people with schizophrenia decreased slightly, revealing an SMR of 3.40 (95% CI 3.30-3.50) for the 2003 cohort and 3.14 (3.06-3.23) for the 2008 cohort. The mortality gap for BPD individuals remained relatively stable with only those aged 15-44 years having an SMR rising significantly from 7.04 (6.38-7.76) to 9.10 (8.44-9.79). Additionally, in this group of BPD patients aged 15-44 years, the natural-cause-SMR increased from 5.65 (4.93-6.44) to 7.16 (6.46-7.91).

CONCLUSIONS

Compared with the general population, the gap in the excess mortality for people with schizophrenia reduced slightly. However, the over 200% difference between the cohorts in the excess mortality for BPD individuals aged 15-44 years could be a warning sign. Future research to further examine the related factors underlying those changes is warranted.

Individual and area-level risk factors for suicidal ideation and attempt in people with severe depression

INTRODUCTION

Previous research has identified several risk factors that are strongly associated with suicidal behavior in patients with severe depression. However, the effects of area-level characteristics on suicidal ideation and attempt in this population remain unclear.

METHODS

The Clinical Record Interactive Search (CRIS) database was used to identify 2587 patients with severe depression who received secondary mental health services from the Camden & Islington NHS Foundation Trust. Stepwise multivariable logistic regression models were used to examine associations between socio-demographic characteristics, clinical variables, area-level measures, and suicidal ideation and attempt as separate outcomes.

RESULTS

Both suicidal ideation and attempts were common among this cohort of severely depressed individuals (70.5% and 37.7%, respectively). While several individual socio-demographic and clinical characteristics were associated with both outcomes, particularly past psychiatric admission (suicidal ideation: adjusted OR=2.86, 95% CI: 2.26-3.62; suicide attempt: adjusted OR=4.00, 95% CI: 3.30-4.89), neither social deprivation nor ethnic density (measured at the area-level) was associated with risk for either outcome.

LIMITATIONS

Data were not collected specifically for research purposes and hence information on some potential confounders was not available. Additionally, information was restricted to individuals who accessed secondary mental health services in a defined catchment area and period. The study therefore does not take into account individuals who did not access mental health services.

CONCLUSIONS

The variation in risk for suicidal ideation and attempt among severely depressed individuals is explained by differences in individual socio-demographic and clinical characteristics, most notably past psychiatric admission and substance misuse, and not by area-level measures.

Risk assessment and suicide by patients with schizophrenia in secondary mental healthcare: a case-control study

OBJECTIVES

To investigate the role of risk assessment in predicting suicide in patients with schizophrenia spectrum disorders (SSDs) receiving secondary mental healthcare. We postulated that risk assessment plays a limited role in predicting suicide in these patients.

DESIGN

Retrospective case-control study.

SETTING

Anonymised electronic mental health record data from the South London and Maudsley National Health Service (NHS) Foundation Trust (SLaM) (London, UK) linked with national mortality data.

PARTICIPANTS

In 242 227 SLaM service users up to 31 December 2013, 635 suicides were identified. 96 (15.1%) had a SSD diagnosis. Those who died before 1 January 2007 (n=25) were removed from the analyses. Thus, 71 participants with SSD who died from suicide over the study period (cases) were compared with 355 controls.

MAIN OUTCOME MEASURE

Risk of suicide in relation to risk assessment ratings.

RESULTS

Cases were younger at first contact with services (mean±SD 34.5±12.6 vs 39.2±15.2) and with a higher preponderance of males (OR=2.07, 95% CI 1.18 to 3.65, p=0.01) than controls. Also, suicide occurred within 10 days after last contact with services in half of cases, with the most common suicide methods being hanging (14) and jumping (13). Cases were more likely to have the following 'risk assessment' items previously recorded: suicidal history (OR=4.42, 95% CI 2.01 to 9.65, p<0.001), use of violent method (OR=3.37, 95% CI 1.47 to 7.74, p=0.01), suicidal ideation (OR=3.57, 95% CI 1.40 to 9.07, p=0.01) and recent hospital discharge (OR=2.71, 95% CI 1.17 to 6.28, p=0.04). Multiple regression models predicted only 21.5% of the suicide outcome variance.

CONCLUSIONS

Predicting suicide in schizophrenia is highly challenging due to the high prevalence of risk factors within this diagnostic group irrespective of outcome, including suicide. Nevertheless, older age at first contact with mental health services and lack of suicidal history and suicidal ideation are useful protective markers indicative of those less likely to end their own lives.

Novel psychoactive substances: An investigation of temporal trends in social media and electronic health records

BACKGROUND

Public health monitoring is commonly undertaken in social media but has never been combined with data analysis from electronic health records. This study aimed to investigate the relationship between the emergence of novel psychoactive substances (NPS) in social media and their appearance in a large mental health database.

METHODS

Insufficient numbers of mentions of other NPS in case records meant that the study focused on mephedrone. Data were extracted on the number of mephedrone (i) references in the clinical record at the South London and Maudsley NHS Trust, London, UK, (ii) mentions in Twitter, (iii) related searches in Google and (iv) visits in Wikipedia. The characteristics of current mephedrone users in the clinical record were also established.

RESULTS

Increased activity related to mephedrone searches in Google and visits in Wikipedia preceded a peak in mephedrone-related references in the clinical record followed by a spike in the other 3 data sources in early 2010, when mephedrone was assigned a 'class B' status. Features of current mephedrone users widely matched those from community studies.

CONCLUSIONS

Combined analysis of information from social media and data from mental health records may assist public health and clinical surveillance for certain substance-related events of interest. There exists potential for early warning systems for health-care practitioners.

Identifying mortality risks in patients with opioid use disorder using brief screening assessment: Secondary mental health clinical records analysis

BACKGROUND

Risk assessments are widely used, but their ability to predict outcomes in opioid use disorder (OUD) treatment remains unclear. Therefore, the aim was to investigate if addiction-specific brief risk screening is effective in identifying high mortality risk groups and if subsequent clinical actions following risk assessment impacts on mortality levels.

METHODS

Opioid use disorder (OUD) patients were identified in the South London and Maudsley Case Register. Deaths were identified through database linkage to the national mortality dataset. Cox and competing-risk regression were used to model associations between brief risk assessment domains and all-cause and overdose mortality in 4488 OUD patients, with up-to 6-year follow-up time where 227 deaths were registered. Data were stratified by admission to general mental health services.

RESULTS

All-cause mortality was significantly associated with unsafe injecting (HR 1.53, 95% CI 1.10-2.11) and clinically appraised likelihood of accidental overdose (HR 1.48, 95% CI 1.00-2.19). Overdose-mortality was significantly associated with unsafe injecting (SHR 2.52, 95% CI 1.11-5.70) and clinically appraised suicidality (SHR 2.89, 95% CI 1.38-6.03). Suicidality was associated with a twofold increase in mortality risk among OUD patients who were not admitted to mental health services within 2 months of their risk assessment (HR 2.03, 95% CI 1.67-3.24).

CONCLUSIONS

Diagnosis-specific brief risk screening can identify OUD patient subgroups at increased risk of all-cause and overdose mortality. OUD patients, where suicidality is evident, who are not admitted into services are particularly vulnerable.

Association of cannabis use with hospital admission and antipsychotic treatment failure in first episode psychosis: an observational study

OBJECTIVE

To investigate whether cannabis use is associated with increased risk of relapse, as indexed by number of hospital admissions, and whether antipsychotic treatment failure, as indexed by number of unique antipsychotics prescribed, may mediate this effect in a large data set of patients with first episode psychosis (FEP).

DESIGN

Observational study with exploratory mediation analysis.

SETTING

Anonymised electronic mental health record data from the South London and Maudsley NHS Foundation Trust.

PARTICIPANTS

2026 people presenting to early intervention services with FEP.

EXPOSURE

Cannabis use at presentation, identified using natural language processing.

MAIN OUTCOME MEASURES

admission to psychiatric hospital and clozapine prescription up to 5 years following presentation.

MEDIATOR

Number of unique antipsychotics prescribed.

RESULTS

Cannabis use was present in 46.3% of the sample at first presentation and was particularly common in patients who were 16-25, male and single. It was associated with increased frequency of hospital admission (incidence rate ratio 1.50, 95% CI 1.25 to 1.80), increased likelihood of compulsory admission (OR 1.55, 1.16 to 2.08) and greater number of days spent in hospital (β coefficient 35.1 days, 12.1 to 58.1). The number of unique antipsychotics prescribed, mediated increased frequency of hospital admission (natural indirect effect 1.09, 95% CI 1.01 to 1.18; total effect 1.50, 1.21 to 1.87), increased likelihood of compulsory admission (natural indirect effect (NIE) 1.27, 1.03 to 1.58; total effect (TE) 1.76, 0.81 to 3.84) and greater number of days spent in hospital (NIE 17.9, 2.4 to 33.4; TE 34.8, 11.6 to 58.1).

CONCLUSIONS

Cannabis use in patients with FEP was associated with an increased likelihood of hospital admission. This was linked to the prescription of several different antipsychotic drugs, indicating clinical judgement of antipsychotic treatment failure. Together, this suggests that cannabis use might be associated with worse clinical outcomes in psychosis by contributing towards failure of antipsychotic treatment.

Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource

PURPOSE

The South London and Maudsley National Health Service (NHS) Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register and its Clinical Record Interactive Search (CRIS) application were developed in 2008, generating a research repository of real-time, anonymised, structured and open-text data derived from the electronic health record system used by SLaM, a large mental healthcare provider in southeast London. In this paper, we update this register's descriptive data, and describe the substantial expansion and extension of the data resource since its original development.

PARTICIPANTS

Descriptive data were generated from the SLaM BRC Case Register on 31 December 2014. Currently, there are over 250,000 patient records accessed through CRIS.

FINDINGS TO DATE

Since 2008, the most significant developments in the SLaM BRC Case Register have been the introduction of natural language processing to extract structured data from open-text fields, linkages to external sources of data, and the addition of a parallel relational database (Structured Query Language) output. Natural language processing applications to date have brought in new and hitherto inaccessible data on cognitive function, education, social care receipt, smoking, diagnostic statements and pharmacotherapy. In addition, through external data linkages, large volumes of supplementary information have been accessed on mortality, hospital attendances and cancer registrations.

FUTURE PLANS

Coupled with robust data security and governance structures, electronic health records provide potentially transformative information on mental disorders and outcomes in routine clinical care. The SLaM BRC Case Register continues to grow as a database, with approximately 20,000 new cases added each year, in addition to extension of follow-up for existing cases. Data linkages and natural language processing present important opportunities to enhance this type of research resource further, achieving both volume and depth of data. However, research projects still need to be carefully tailored, so that they take into account the nature and quality of the source information.

Do antidepressants increase the risk of mania and bipolar disorder in people with depression? A retrospective electronic case register cohort study

OBJECTIVES

To investigate the association between antidepressant therapy and the later onset of mania/bipolar disorder.

DESIGN

Retrospective cohort study using an anonymised electronic health record case register.

SETTING

South London and Maudsley National Health Service (NHS) Trust (SLaM), a large provider of inpatient and community mental healthcare in the UK.

PARTICIPANTS

21,012 adults presenting to SLaM between 1 April 2006 and 31 March 2013 with unipolar depression.

EXPOSURE

Prior antidepressant therapy recorded in electronic health records.

MAIN OUTCOME MEASURE

Time to subsequent diagnosis of mania or bipolar disorder from date of diagnosis of unipolar depression, censored at 31 March 2014.

METHODS

Multivariable Cox regression analysis with age and gender as covariates.

RESULTS

The overall incidence rate of mania/bipolar disorder was 10.9 per 1000 person-years. The peak incidence of mania/bipolar disorder incidence was seen in patients aged between 26 and 35 years (12.3 per 1000 person-years). Prior antidepressant treatment was associated with an increased incidence of mania/bipolar disorder ranging from 13.1 to 19.1 per 1000 person-years. Multivariable analysis indicated a significant association with selective serotonin reuptake inhibitors (HR 1.34, 95% CI 1.18 to 1.52) and venlafaxine (1.35, 1.07 to 1.70).

CONCLUSIONS

In people with unipolar depression, antidepressant treatment is associated with an increased risk of subsequent mania/bipolar disorder. These findings highlight the importance of considering risk factors for mania when treating people with depression.

Ethnic inequalities in the use of secondary and tertiary mental health services among patients with obsessive-compulsive disorder

BACKGROUND

Obsessive-compulsive disorder (OCD) has similar prevalence rates across ethnic groups. However, ethnic minorities are underrepresented in clinical trials of OCD. It is unclear whether this is also the case in clinical services.

AIMS

To explore whether ethnic minorities with OCD are underrepresented in secondary and tertiary mental health services in the South London and Maudsley (SLaM) NHS Foundation Trust.

METHOD

The ethnic distribution of patients with OCD seen between 1999 and 2013 in SLaM (n = 1528) was compared with that of the general population in the catchment area using census data. A cohort of patients with depression (n = 22 716) was used for comparative purposes.

RESULTS

Ethnic minorities with OCD were severely underrepresented across services (-57%, 95% CI -62% to -52%). The magnitude of the observed inequalities was significantly more pronounced than in depression (-29%, 95% CI -31% to -27%).

CONCLUSIONS

There is a clear need to understand the reasons behind such ethnic inequalities and implement measures to reduce them.

Mood instability is a common feature of mental health disorders and is associated with poor clinical outcomes

OBJECTIVES

Mood instability is a clinically important phenomenon but has received relatively little research attention. The objective of this study was to assess the impact of mood instability on clinical outcomes in a large sample of people receiving secondary mental healthcare.

DESIGN

Observational study using an anonymised electronic health record case register.

SETTING

South London and Maudsley NHS Trust (SLaM), a large provider of inpatient and community mental healthcare in the UK.

PARTICIPANTS

27,704 adults presenting to SLaM between April 2006 and March 2013 with a psychotic, affective or personality disorder.

EXPOSURE

The presence of mood instability within 1 month of presentation, identified using natural language processing (NLP).

MAIN OUTCOME MEASURES

The number of days spent in hospital, frequency of hospital admission, compulsory hospital admission and prescription of antipsychotics or non-antipsychotic mood stabilisers over a 5-year follow-up period.

RESULTS

Mood instability was documented in 12.1% of people presenting to mental healthcare services. It was most frequently documented in people with bipolar disorder (22.6%), but was common in people with personality disorder (17.8%) and schizophrenia (15.5%). It was associated with a greater number of days spent in hospital (β coefficient 18.5, 95% CI 12.1 to 24.8), greater frequency of hospitalisation (incidence rate ratio 1.95, 1.75 to 2.17), greater likelihood of compulsory admission (OR 2.73, 2.34 to 3.19) and an increased likelihood of prescription of antipsychotics (2.03, 1.75 to 2.35) or non-antipsychotic mood stabilisers (2.07, 1.77 to 2.41).

CONCLUSIONS

Mood instability occurs in a wide range of mental disorders and is not limited to affective disorders. It is generally associated with relatively poor clinical outcomes. These findings suggest that clinicians should screen for mood instability across all common mental health disorders. The data also suggest that targeted interventions for mood instability may be useful in patients who do not have a formal affective disorder.

Does asking about suicide and related behaviours induce suicidal ideation? What is the evidence?

There is a commonly held perception in psychology that enquiring about suicidality, either in research or clinical settings, can increase suicidal tendencies. While the potential vulnerability of participants involved in psychological research must be addressed, apprehensions about conducting studies of suicidality create a Catch-22 situation for researchers. Ethics committees require evidence that proposed studies will not cause distress or suicidal ideation, yet a lack of published research can mean allaying these fears is difficult. Concerns also exist in psychiatric settings where risk assessments are important for ensuring patient safety. But are these concerns based on evidence? We conducted a review of the published literature examining whether enquiring about suicide induces suicidal ideation in adults and adolescents, and general and at-risk populations. None found a statistically significant increase in suicidal ideation among participants asked about suicidal thoughts. Our findings suggest acknowledging and talking about suicide may in fact reduce, rather than increase suicidal ideation, and may lead to improvements in mental health in treatment-seeking populations. Recurring ethical concerns about asking about suicidality could be relaxed to encourage and improve research into suicidal ideation and related behaviours without negatively affecting the well-being of participants.

Mini-mental state examination as a predictor of mortality among older people referred to secondary mental healthcare

Background

Lower levels of cognitive function have been found to be associated with higher mortality in older people, particularly in dementia, but the association in people with other mental disorders is still inconclusive.

Methods and Findings

Data were analysed from a large mental health case register serving a geographic catchment of 1.23 million residents, and associations were investigated between cognitive function measured by the Mini-Mental State Examination (MMSE) and survival in patients aged 65 years old and over. Cox regressions were carried out, adjusting for age, gender, psychiatric diagnosis, ethnicity, marital status, and area-level socioeconomic index. A total of 6,704 subjects were involved, including 3,368 of them having a dementia diagnosis and 3,336 of them with depression or other diagnoses. Descriptive outcomes by Kaplan-Meier curves showed significant differences between those with normal and impaired cognitive function (MMSE score<25), regardless of a dementia diagnosis. As a whole, the group with lower cognitive function had an adjusted hazard ratio (HR) of 1.42 (95% CI: 1.28, 1.58) regardless of diagnosis. An HR of 1.23 (95% CI: 1.18, 1.28) per quintile increment of MMSE was also estimated after confounding control. A linear trend of MMSE in quintiles was observed for the subgroups of dementia and other non-dementia diagnoses (both p-values<0.001). However, a threshold effect of MMSE score under 20 was found for the specific diagnosis subgroups of depression.

Conclusion

Current study identified an association between cognitive impairment and increased mortality in older people using secondary mental health services regardless of a dementia diagnosis. Causal pathways between this exposure and outcome (for example, suboptimal healthcare) need further investigation.

Suicide completion in secondary mental healthcare: a comparison study between schizophrenia spectrum disorders and all other diagnoses

BACKGROUND

Suicide completion is a tragic outcome in secondary mental healthcare. However, the extent to which demographic and clinical characteristics, suicide method and service use-related factors vary across psychiatric diagnoses remains poorly understood, particularly regarding differences between 'schizophrenia spectrum disorders (SSD)' and 'all other diagnoses', which may have implications for suicide prevention in high risk groups.

METHODS

308 patients who died by suicide over 2007-2011 were identified from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre Case Register. Demographic, clinical, services use-related factors, 'full risk assessment' ratings and the Health of the Nation Outcome Scale (HONOS) scores were compared across psychiatric diagnoses. Specifically, differences between patients with and without SSD were investigated.

RESULTS

Patients with SSD ended their lives at a younger age, were more frequently of Black ethnicity and had higher levels of social deprivation than other diagnoses. Also, these patients were more likely to have HONOS and 'risk assessment' completed. However, patients who had no SSD scored significantly higher on 'self-injury' and 'depression' HONOS items and they were more likely to have the following 'risk assessment' items: 'suicidal ideation', 'hopelessness', 'feeling no control of life', 'impulsivity' and 'significant loss'. Of note, 'disengagement' was more common in patients with SSD, although they had been seen by the staff closer to the time of suicide than in all-other diagnoses. Whilst 'hanging' was the most common suicide method amongst patients with non-SSD, most service users with a SSD diagnosis used 'jumping' (from heights or in front of a vehicle).

CONCLUSIONS

Suicide completion characteristics varied between SSD and other diagnoses in patients receiving secondary mental healthcare. In particular, although clinicians tend to more frequently recognize suicide risk as a focus of concern in patients who have SSD, who are therefore more likely to have a detailed risk assessment documented; 'known' suicide risk factors appear to be more relevant in patients with non-SSD. Hence, the classic suicide prevention model might be of little use for SSD.

Predictors of natural and unnatural mortality among patients with personality disorder: evidence from a large UK case register

BACKGROUND

People with personality disorder have reduced life expectancy, yet, within this population, little is known about the clinical predictors of natural and unnatural deaths. We set out to investigate this, using a large cohort of secondary mental health patients with personality disorder.

METHODS

We identified patients with an ICD-10 diagnosis of personality disorder, aged ≥15 years in a large secondary mental healthcare case register. The case register was linked to national mortality tracing. Using Cox regression, we modelled the effect of a number of pre-specified clinical variables on all-cause, natural cause and unnatural cause mortality.

FINDINGS

2,440 patients were identified. Eighty-five deaths (3.5% of cohort) occurred over a 5-year observation period, of which over 50% were from natural causes. All-cause mortality was associated with alcohol or drug use (adjusted Hazard Ratio [aHR] 2.3; 95% CI 1.3-4.1), physical illness (aHR 1.9; 95% CI 1.0-3.6), and functional impairment (aHR 1.9; 95% CI 1.0-3.6). Natural cause mortality was associated with mild problems of alcohol or drug use (aHR 3.4; 95% CI 1.5-7.4), and physical illness (aHR 2.4; 95% CI 1.0-5.6). Unnatural cause mortality was associated only with severe alcohol or drug use (aHR 3.1; 95% CI 1.3-7.3).

INTERPRETATION

Alcohol and drug use, physical illness, and functional impairment are predictors of mortality in individuals with personality disorder. Clinicians should be aware of the existence of problems in these domains, even at mild levels, when assessing the needs of patients with personality disorder.

Evaluation of smoking status identification using electronic health records and open-text information in a large mental health case register

BACKGROUND

High smoking prevalence is a major public health concern for people with mental disorders. Improved monitoring could be facilitated through electronic health record (EHR) databases. We evaluated whether EHR information held in structured fields might be usefully supplemented by open-text information. The prevalence and correlates of EHR-derived current smoking in people with severe mental illness were also investigated.

METHODS

All cases had been referred to a secondary mental health service between 2008-2011 and received a diagnosis of schizophreniform or bipolar disorder. The study focused on those aged over 15 years who had received active care from the mental health service for at least a year (N=1,555). The 'CRIS-IE-Smoking' application used General Architecture for Text Engineering (GATE) natural language processing software to extract smoking status information from open-text fields. A combination of CRIS-IE-Smoking with data from structured fields was evaluated for coverage and the prevalence and demographic correlates of current smoking were analysed.

RESULTS

Proportions of patients with recorded smoking status increased from 11.6% to 64.0% through supplementing structured fields with CRIS-IE-Smoking data. The prevalence of current smoking was 59.6% in these 995 cases for whom this information was available. After adjustment, younger age (below 65 years), male sex, and non-cohabiting status were associated with current smoking status.

CONCLUSIONS

A natural language processing application substantially improved routine EHR data on smoking status above structured fields alone and could thus be helpful in improving monitoring of this lifestyle behaviour. However, limited information on smoking status remained a challenge.

Functional status and all-cause mortality in serious mental illness

Background

Serious mental illness can affect many aspects of an individual’s ability to function in daily life. The aim of this investigation was to determine if the environmental and functional status of people with serious mental illness contribute to the high mortality risk observed in this patient group.

Methods

We identified cases of schizophrenia, schizoaffective and bipolar disorder aged ≥15 years in a large secondary mental healthcare case register linked to national mortality tracing. We modelled the effect of activities of daily living (ADLs), living conditions, occupational and recreational activities and relationship factors (Health of the Nation Outcome Scale [HoNOS] subscales) on all-cause mortality over a 4-year observation period (2007–10) using Cox regression.

Results

We identified 6,880 SMI cases (242 deaths) in the observation period. ADL impairment was associated with an increased risk of all-cause mortality (adjusted HR 1.9; 95% CI 1.3–2.8; p = 0.001, p for trend across ADL categories = 0.001) after controlling for a broad range of covariates (including demographic factors, physical health, mental health symptoms and behaviours, socio-economic status and mental health service contact). No associations were found for the other three exposures. Stratification by age indicated that ADLs were most strongly associated with mortality in the youngest (15 to <35 years) and oldest (≥55 years) groups.

Conclusions

Functional impairment in people with serious mental illness diagnoses is a marker of increased mortality risk, possibly in younger age groups as a marker of negative symptomatology.