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In 2009, 98.0% of people with mental illness in Sierra Leone were not receiving treatment, partly due to the absence of public psychiatric facilities outside the capital. In response to this situation, the Ministry of Health and Sanitation rolled out nurse-led mental health units (MHUs) to every district. This study evaluates the barriers and facilitators to mental health service delivery in decentralised MHUs in Sierra Leone using key informant interviews and focus group discussions with 13 purposefully sampled clinical staff and senior management personnel. The interviews were audio-recorded, translated from Krio if necessary, transcribed, and analysed using manifest content analysis. The findings suggest that factors affecting nurse-led mental health service delivery include small workforce and high workload, culture and beliefs, risks, lack of safety measures and required resources, outdated policies, poor salaries, lack of funds for medication, distance, power, influence, and stigma. Factors that could facilitate nurse-led mental health services include: increasing motivation, increasing the workforce, knowledge sharing, mentorship, availability of medication, passion and modern psychiatry. The findings contribute towards understanding the challenges and opportunities faced by the recently established nurse-led decentralised mental health services across Sierra Leone, in order to address the large mental health treatment gap. We hope the findings will inform further policy and planning to improve the quality of decentralised mental healthcare.

The routes to optimising the authenticity of assessments in different organisational and disciplinary contexts have been ambiguous and challenging. This paper offers a case study of diversifying the assessments in a taught Master’s Programme by integrating disciplinary practices to design alternative assessments. Embedding discipline-specific principles and perspectives was found to be key to achieving authenticity of assessments. This paper reports on a descriptive mixed-method study that the authors conducted to evaluate current students’ perceptions of and experiences with the diversified assessments in the Programme. Overall, the findings demonstrate students’ acknowledgement of the importance of a diverse mix of assessments, especially in terms of fostering the development of several graduate attributes. The findings also highlight several opportunities for enhancing the constructive alignment of the curriculum. Alternative assessments can be feasibly designed to promote many of the graduate attributes necessary to create ‘global students’ in an increasingly competitive and internationalised job market.

This article was migrated. The article was not marked as recommended. Amidst the ongoing global recruitment crisis in psychiatry there are compelling reasons to rethink the approach to, and the content and structure of, educational and experiential opportunities for medical students and foundation doctors. Medical students' attitudes to mental illness and psychiatry have been a topic of interest for many decades. The literature identifies the undergraduate years as pivotal in the formation of attitudes towards psychiatry and it has been suggested that medical students' attitudes towards psychiatry worsen as they progress through undergraduate education. The aim of this study was to explore University of Glasgow medical students' attitudes towards psychiatry and possible reasons for not choosing psychiatry as a viable career option. An electronic survey was emailed to all medical students in October 2017. A response rate of 24.5% (N=324) was achieved which was representative across year groups one to five. The findings identified generally positive attitudes towards psychiatry as a specialty. However, year group analysis demonstrated a declining level of interest in pursuing psychiatry as a career choice. Negative attitudes towards psychiatry clustered in common themes, namely: stigmatised views about psychiatry and people with mental illness; perceived limited exposure to psychiatry in the curriculum and for experiential learning opportunities. This paper proposes that enhanced coverage of, and exposure to, psychiatry in undergraduate and postgraduate training may provide avenues into reducing negative attitudes towards psychiatry within medicine. This in turn may support national campaigns to 'rebrand' psychiatry and reinvigorate the psychiatry core trainee (CT) supply chain.

This chapter provides an assessment of studies on mobile health (mHealth) tools for development in addressing diseases relating to mental health, informs the current publications trends, identifies research gaps in the existing literature, and suggests a future research agenda that can help address these gaps. We, therefore, assessed empirical studies using a Systematic Mapping Study approach. We searched five academic databases as well as Google Search Engine and Google Scholar. Based on the inclusion and exclusion criteria, 54 full-text papers were included in this chapter. The findings suggest a growing trend in the use of various mHealth tools for mental health, such as mobile apps and text messaging. The findings also suggest that the responsibility of health monitoring and management can be shared between the medical practitioner and the patient in mental healthcare. Research gaps were identified and areas for future research are proposed.

Obsessive compulsive disorder (OCD) is a neuropsychiatric disorder with a global prevalence of 2-3%. OCD can have an enormous impact on the lives of those with the disorder, with some studies suggesting suicidal ideation is present in over 50% of individuals with OCD, and other data showing a significant number of individuals attempt suicide. It is therefore important that individuals with OCD receive the best possible treatment. A greater understanding of the underlying pathophysiology of neuropsychiatric disorders among professionals and future clinicians can lead to improved treatment. However, data suggests that many students and clinicians experience "neurophobia", a lack of knowledge or confidence in cases involving the nervous system. In addition, research suggests that the relationship many students have with neurological conditions deteriorates over time, and can persist into practice.If individuals living with conditions such as OCD are to receive the best possible treatment, it is crucial that those administering care are equipped with a thorough understanding of such disorders. While research has shown that the use of interactive 3D models can improve anatomy education and more specifically neurology education, the efficacy of using of such models to engage with neuropsychiatric conditions, specifically OCD, has not been assessed. This study seeks to address this gap.In this study an interactive application for Android devices was designed using standardised software engineering methods in order to improve neuropsychiatry literacy by empowering self-pace learning through interactive 3D visualisations and animations of the neural circuitry involved in OCD. A pilot test and a usability assessment were conducted among five postgraduate life science students. Findings relating to user experience were promising, and pre-test vs. post-test evaluation suggested encouraging outcomes regarding the effectiveness of the application in improving the knowledge and understanding of OCD. In short, this study suggests that interactive 3D visualisations can improve neuropsychiatry education. For this reason, more efforts should be made to construct similar applications in order to ensure patients always receive the best possible care. Fig. 2.1 A diagrammatic representation of the CSTC circuit, based on a similar diagram by Robertson et al. (2017).

Obsessive compulsive disorder (OCD) is a neuropsychiatric disorder with a global prevalence of 2-3%. OCD can have an enormous impact on the lives of those with the disorder, with some studies suggesting suicidal ideation is present in over 50% of individuals with OCD, and other data showing a significant number of individuals attempt suicide. It is therefore important that individuals with OCD receive the best possible treatment. A greater understanding of the underlying pathophysiology of neuropsychiatric disorders among professionals and future clinicians can lead to improved treatment. However, data suggests that many students and clinicians experience "neurophobia", a lack of knowledge or confidence in cases involving the nervous system. In addition, research suggests that the relationship many students have with neurological conditions deteriorates over time, and can persist into practice.If individuals living with conditions such as OCD are to receive the best possible treatment, it is crucial that those administering care are equipped with a thorough understanding of such disorders. While research has shown that the use of interactive 3D models can improve anatomy education and more specifically neurology education, the efficacy of using of such models to engage with neuropsychiatric conditions, specifically OCD, has not been assessed. This study seeks to address this gap.In this study an interactive application for Android devices was designed using standardised software engineering methods in order to improve neuropsychiatry literacy by empowering self-pace learning through interactive 3D visualisations and animations of the neural circuitry involved in OCD. A pilot test and a usability assessment were conducted among five postgraduate life science students. Findings relating to user experience were promising, and pre-test vs. post-test evaluation suggested encouraging outcomes regarding the effectiveness of the application in improving the knowledge and understanding of OCD. In short, this study suggests that interactive 3D visualisations can improve neuropsychiatry education. For this reason, more efforts should be made to construct similar applications in order to ensure patients always receive the best possible care. Fig. 2.1 A diagrammatic representation of the CSTC circuit, based on a similar diagram by Robertson et al. (2017).

Recent genome-wide association studies have demonstrated that the genetic burden associated with depression correlates with depression severity. Therefore, conducting genetic studies of patients at the most severe end of the depressive disorder spectrum, those with treatment resistant depression and who are prescribed electroconvulsive therapy (ECT), could lead to a better understanding of the genetic underpinnings of depression. Despite ECT being one of the most effective forms of treatment for severe depressive disorders, it is usually placed at the end of treatment algorithms of current guidelines. This is perhaps because ECT has controlled risk and logistical demands including use of general anaesthesia and muscle relaxants and side effects such as short-term memory impairment. Better understanding of the genetics and biology of ECT response and of cognitive side effects could lead to more personalized treatment decisions. To enhance the understanding of the genomics of severe depression and ECT response, researchers and ECT providers from around the world and from various depression or ECT networks, but not limited to, such as the Psychiatric Genomics Consortium, the Clinical Alliance and Research in ECT (CARE), and the National Network of Depression Centers (NNDC) have formed the Genetics of ECT International Consortium (Gen-ECT-ic). Gen-ECT-ic will organize the largest clinical and genetic collection to date to study the genomics of severe depressive disorders and response to ECT, aiming for 30,000 patients worldwide using a GWAS approach. At this stage it will be the largest genomic study on treatment response in depression. Retrospective data abstraction and prospective data collection will be facilitated by a uniform data collection approach that is flexible and will incorporate data from many clinical practices. Gen-ECT-ic invites all ECT providers and researchers to join its efforts.

Background: Diabetes, obesity and metabolic syndrome are highly prevalent in patients with severe mental illness and can impose a major physical health burden. Objective: To determine how anthropometric and metabolic features changed over time in a retrospective cohort of people with Severe Mental Illness living in Cheshire, UK. Methods: In all, 1307 individuals on the severe mental illness Register were followed up between 2002 and 2012 in UK general practice. Subjects were identified through a pseudanonymised search of general practice registers. Results: Baseline body mass index was 28.6 kg/m2 increasing to 31.0 at 10-year follow-up ( r2 = 0.84; p = 0.0002). There was a significant increase in fasting blood glucose from 5.72 to 6.79 mmol/L ( r2 = 0.48; p = 0.026). Correspondingly, there was a strong positive univariate relation between increase in body mass index and fasting blood glucose ( r2 = 0.54; p 2 = 0.88; p = 0.0001), as did low-density lipoprotein cholesterol from 3.43 to 2.35 mmol/L ( r2 = 0.94; p = 0.0001). In multivariate models, adjusting for age, gender, smoking and blood pressure, each unit increase in body mass index (odds ratio = 1.07 [1.01, 1.13]; p = 0.031) and triglycerides (odds ratio = 1.28 (1.06, 1.55); p = 0.009) was independently associated with an increased risk of having type 2 diabetes. Conclusion: Increasing body mass index relates to increasing rates of dysglycaemia over time. Measures to encourage weight reduction should be key strategies to reduce dysglycaemia rates in severe mental illness. Prescribing statins may have been effective in improving the lipid profile in this group.

Background Suicide is a major issue for global public health. Suicidality describes a broad spectrum of thoughts and behaviours, some of which are common in the general population. Although suicide results from a complex interaction of multiple social and psychological factors, predisposition to suicidality is at least partly genetic. Methods Ordinal genome-wide association study of suicidality in the UK Biobank cohort comparing: ‘no suicidality’ controls (N = 83,557); ‘thoughts that life was not worth living’ (N = 21,063); ‘ever contemplated self-harm’ (N = 13,038); ‘act of deliberate self-harm in the past’ (N = 2498); and ‘previous suicide attempt’ (N = 2666). Outcomes We identified three novel genome-wide significant loci for suicidality (on chromosomes nine, 11 and 13) and moderate-to-strong genetic correlations between suicidality and a range of psychiatric disorders, most notably depression (rg 0·81). Interpretation These findings provide new information about genetic variants relating to increased risk of suicidal thoughts and behaviours. Future work should assess the extent to which polygenic risk scores for suicidality, in combination with non-genetic risk factors, may be useful for stratified approaches to suicide prevention at a population level. Fund UKRI Innovation-HDR-UK Fellowship (MR/S003061/1). MRC Mental Health Data Pathfinder Award (MC_PC_17217). MRC Doctoral Training Programme Studentship at the University of Glasgow (MR/K501335/1). MRC Doctoral Training Programme Studentship at the Universities of Glasgow and Edinburgh. UKRI Innovation Fellowship (MR/R024774/1).

Background: Suicide is a major issue for global public health. ‘Suicidality’ describes a broad clinical spectrum of thoughts and behaviours, some of which are common in the general population.Methods: UK Biobank recruited ∼0·5 million middle age individuals from the UK, of whom 157,000 completed an assessment of suicidality. Mutually exclusive groups were assessed in an ordinal genome-wide association study of suicidality: ‘no suicidality’ controls (N=83,557); ‘thoughts that life was not worth living’ (N=21,063); ‘ever contemplated self-harm’ (N=13,038); ‘an act of deliberate self-harm in the past’ (N=2,498); and ‘a previous suicide attempt’ (N=2,666). Linkage of UK Biobank to death certification records identified a small sub-group of ‘completed suicide’ (N=137).Outcomes: We identified three novel genome-wide significant loci for suicidality (on Chromosomes 9, 11 and 13) and moderate-to-strong genetic correlations between suicidality and a range of psychiatric disorders, most notably depression (rg 0·81). Higher polygenic risk scores for suicidality were associated with increased risk of completed suicide relative to controls in an independent sub-group (N=137 vs N=5,330, OR 1·23, 95%CI 1·06 to 1·41, p=0.03). Rs598046-G (chromosome 11) demonstrated a similar effect size and direction (p=0·05) within a Danish suicidality study.Interpretation: These findings have significant implications for our understanding of genetic vulnerability to suicidal thoughts and behaviours. Future work should assess the extent to which polygenic risk scores for suicidality, in combination with non-genetic risk factors, may be useful for stratified approaches to suicide prevention at a population level.Funding: UKRI Innovation-HDR-UK Fellowship (MR/S003061/1). MRC Mental Health Data Pathfinder Award (MC_PC_17217).

ObjectiveTo identify factors associated with: admission to a specialist mother and baby unit (MBU) and the impact of perinatal mental illness on early childhood development using a data linkage approach in the 2 years prechildbirth and postchildbirth.MethodsScottish maternity records (SMR02) were linked to psychiatric hospital admissions (SMR04). 3290 pregnancy-related psychiatric admissions for 1730 women were assessed. To investigate factors associated with MBU admission, the group of mothers admitted to an MBU were compared with those admitted to general psychiatric wards. To assess the impact of perinatal mental illness on early child development, a pragmatic indicator for ‘at potential risk of adversity’, defined as a child who was recorded as requiring intensive treatment at any time under the health plan indicators (HPI) and/or who had no record of completing three doses of the 5-in-1 vaccine by 12 months was generated. Logistic regression models were used to describe the association between each variable and the risk of admission between those with a history of prior psychiatric admission and those without.ResultsWomen admitted to an MBU were significantly more likely to be admitted with non-affective psychosis (OR=1.97, 95% CI 1.22 to 3.18), affective psychosis (OR=2.44, 95% CI 1.37 to 4.33) and non-psychotic depressive episodes (OR=1.93, 95% CI 1.42 to 2.63). They were less likely to come from deprived areas (OR=0.68 95% CI 0.49 to 0.93). Women with a previous history of psychiatric admission were significantly more likely to be located in the two most deprived quintiles. Almost one-third (29%) of children born to mothers with a pregnancy-related psychiatric admission were assessed as ‘at potential risk of adversity.’ConclusionsA health informatics approach has potential for improving understanding of social and clinical factors, which contribute to the outcomes of perinatal mental illness, as well as potential adverse developmental outcomes for offspring.

Objective: To describe weekly admission rates for affective and non-affective psychosis, major depression and other psychiatric disorders in the early and late postpartum periods. To assess the impact of socioeconomic status, age and parity on admission rates.\ud \ud Methods: Scottish maternity records were linked to psychiatric hospital admissions. 3290 pregnancy-related psychiatric admissions were assessed. Weekly admission rates were calculated for the pregnancy period, early postpartum period (6 weeks after birth) and late postpartum period (up to 2 years after birth), and compared with pre-pregnancy rates (up to 2 years before pregnancy). Admission rates were generated by calculating the total number of admissions for each time period divided by the number of weeks in the period. Incidence rate ratios (IRRs) were generated for each time period, using deprivation, age, parity and record of previous psychiatric hospital care-adjusted Poisson regression models.\ud \ud Results: Women from more deprived social quintiles accounted for the largest proportion of admissions across all time periods. Compared with pre-pregnancy period, admission rates fell during pregnancy, increased markedly during the early postpartum period, and remained elevated for 2 years after childbirth. Within the most affluent quintile, admission IRRs were higher in the early postpartum period (IRR=1.29, 95% CI 1.02 to 1.59) than in the late postpartum period (IRR=0.87, 95% CI 0.74 to 0.98). For the late postpartum period, there was a positive association between higher maternal age and admission IRRs (ages 20–35 years, IRR=1.35, 95% CI 1.16 to 1.54 and age>40 years IRR=1.72, 95% CI 1.41 to 2.09).\ud \ud Conclusions: Rates of psychiatric admission fell during pregnancy and increased in the early postpartum period (particularly during the first 2 weeks after birth), and remained elevated above baseline during the 2-year late postpartum period. An understanding of how social deprivation, age and parity might influence risk of psychiatric admission at different time points could help to target perinatal mental health services more effectively.

Neuroleptic malignant syndrome (NMS) is a potentially fatal idiosyncratic reaction to any medication which affects the central dopaminergic system, most commonly antipsychotics. While it is generally recognized that all antipsychotics may cause NMS, it is more commonly associated with first-generation antipsychotics such as haloperidol and fluphenazine as well as chlorpromazine, trifluoperazine, and prochlorperazine. However the newer atypical antipsychotic agents, such as amisulpride, clozapine, risperidone, quetiapine, and olanzapine have all been reported to cause NMS. There is evidence for a possible underlying genetic predisposition to NMS, with CYP2D6 gene variants coding for lower metabolism also being associated with a higher risk. There are many aspects of its epidemiology, etiology, and pathophysiology which remain poorly understood and its management can pose significant challenges for clinicians confronted with the life-threatening potential of this condition.

People with severe mental illness have a higher risk of developing cardiovascular disease and die sooner than the general population. This study of a national sample of primary care patients in the United Kingdom compared screening for cardiometabolic risk factors among patients with severe mental illness and diabetes.Screening for cardiovascular disease among 2,488,948 patients with diabetes (2010-2011) and 422,966 patients with severe mental illness (2011-2012) at 8,123 primary care practices was compared.The percentage of patients who received screening across four parameters (body mass index, blood pressure, blood glucose, and cholesterol) in the previous 15 months was higher among patients with diabetes than among those with severe mental illness (97.3% versus 74.7%, p.001).The proportion of patients in primary care who were given screening for cardiometabolic risk was much lower among those with severe mental illness than among those with diabetes.

Background The Quality and Outcomes Framework (QOF) has specific targets for body mass index (BMI) and blood pressure recording in major mental illness (MMI), diabetes, and chronic kidney disease (CKD). Although aspects of MMI (schizophrenia, bipolar disorder, and related psychoses) are incentivised, barriers to care may occur. Aim To compare payment, population achievement, and exception rates for blood pressure and BMI recording in MMI relative to diabetes and CKD across the UK. Design and setting Analysis of 2012/2013 QOF data from 9731 UK general practices 2 years after the introduction of the mental health, BMI, and blood pressure QOF indicators. Method Payment, exception, and population achievement rates for the MMI and CKD blood pressure indicators and the MMI and diabetes BMI indicators were calculated and compared. Results UK payment and population achievement rates for BMI recording for MMI were significantly lower than for diabetes (payment: 92.7% versus 95.5% and population achievement: 84.0% versus 92.5%, P

BACKGROUND: Depression is common in many chronic physical health disorders, but the nature and extent of physical health comorbidities in depression, particularly within large population-based samples of patients, and how these comorbidities relate to factors such as age, sex, and social deprivation, are unknown. We aimed to assess the nature and extent of multiple physical health comorbidities in primary care patients with depression within a large and representative Scottish dataset. METHOD: This study was a cross-sectional secondary data analysis of 314 primary care practices in Scotland (from the Primary Care Clinical Informatics Unit at the University of Aberdeen, Scotland, March 31, 2007), including 143,943 people with depression and 1,280,435 controls. The outcomes assessed were 32 common chronic physical health conditions, adjusted for age, sex, and social deprivation. Depression was defined as a Read code for depression recorded within last year and/or 4 or more antidepressant prescriptions (excluding low-dose tricyclic antidepressants) within the last year. RESULTS: Individuals in primary care with depression were more likely than individuals without depression to have every one of the 32 comorbid physical conditions we assessed, even after adjusting for age, sex, and deprivation. The depression group was also significantly more likely to have multiple levels of comorbidity, including 2 physical health conditions (OR = 1.55; 95% CI, 1.53-1.58), 3 physical health conditions (OR = 1.84; 95% CI, 1.81-1.87), 4 physical health conditions (OR = 2.06; 95% CI, 2.01-2.11; P < .001), and 5 or more physical health conditions (OR = 2.65; 95% CI, 2.59-2.71; P < .001). CONCLUSION: Depression in primary care is associated with a very wide range of physical health comorbidities and considerable medical burden. The nature and extent of this multimorbidity and the important association with social deprivation have not been previously described within a large and representative dataset of routine primary care data. Our findings have important implications for the integrated management of depression and physical health problems in the United Kingdom and throughout the world.

Schizophrenia is associated with increased cardiovascular mortality. Although cardiovascular disease (CVD) risk prediction algorithms are widely in the general population, their utility for patients with schizophrenia is unknown.A primary care dataset was used to compare CVD risk scores (Joint British Societies (JBS) score), cardiovascular risk factors, rates of pre-existing CVD and age of first diagnosis of CVD for schizophrenia (n=1997) relative to population controls (n=215,165).Pre-existing rates of CVD and the recording of risk factors for those without CVD were higher in the schizophrenia cohort in the younger age groups, for both genders. Those with schizophrenia were more likely to have a first diagnosis of CVD at a younger age, with nearly half of men with schizophrenia plus CVD diagnosed under the age of 55 (schizophrenia men 46.1% vs. control men 34.8%, p0.001; schizophrenia women 28.9% vs. control women 23.8%, p0.001). However, despite high rates of CVD risk factors within the schizophrenia group, only a very small percentage (3.2% of men and 7.5% of women) of those with schizophrenia under age 55 were correctly identified as high risk for CVD according to the JBS risk algorithm.The JBS2 risk score identified only a small proportion of individuals with schizophrenia under the age of 55 as being at high risk of CVD, despite high rates of risk factors and high rates of first diagnosis of CVD within this age group. The validity of CVD risk prediction algorithms for schizophrenia needs further research.

In the UK, the Quality and Outcome Framework (QOF) has specific targets for general practictioners to record body-mass index (BMI) and blood pressure (BP) in major mental illness, diabetes, and chronic kidney disease. Although incentives are given for aspects of major mental illness (schizophrenia, bipolar disorder, and related psychoses), barriers to care can occur. Our aim was to compare recording of specific targets for BP and BMI in individuals with major mental illness relative to diabetes and chronic kidney disease across the UK.Using 2012 and 2013 QOF data from 9731 general practices across all four countries in the UK, we calculated median payment, population achievement, and exception rates for BP indicators in major mental illness and chronic kidney disease and BMI indicators in major mental illness and diabetes. Differences in unweighted rates between practices in the same UK country were tested with a sign test. Differences in population achievement rate between practices in different countries were compared with those in England by use of a quantile regression analysis.UK payment and population achievement rates for BMI recording in major mental illness were significantly lower than were those in diabetes (payment 92·7% vs 95·5% and population achievement 84·0% vs 92·5%, p0·0001) and exception rates were higher (8·1% vs 2·0%, p0·0001). For BP recording, UK payment and population achievement rates were significantly lower for major mental illness than for chronic kidney disease (94·1% vs 97·8% and 87·0% vs 97·1%, p0·0001), whereas exception rate was higher (6·5% vs 0·0%, p0·0001). This difference was observed for all UK countries. Median population achievement rates for BMI and BP recording in major mental illness were significantly lower in Scotland than in England (for BMI -1·5%, 99% CI -2·7 to -0·3, and for BP -1·8%, -2·7 to -0·9; p0·0001 for both). There were no cross-jurisdiction differences for chronic kidney disease and diabetes.We found lower payment rates, higher exception rates, and lower population achievement rates for BMI and BP recording in major mental illness than in diabetes and chronic kidney disease throughout the UK. We also found variation in these rates between countries. This finding is probably multifactorial, reflecting a combination of patient, clinician, and wider organisational factors; however, it might also suggest inequality in access to certain aspects of health care for people with major mental illness.None.

Background:\ud Socioeconomic status has important associations with disease-specific mortality in the general population. Although individuals with Severe Mental Illnesses (SMI) experience significant premature mortality, the relationship between socioeconomic status and mortality in this group remains under investigated.\ud \ud Aims:\ud To assess the impact of socioeconomic status on rate and cause of death in individuals with SMI (schizophrenia and bipolar disorder) relative to the local (Glasgow) and wider (Scottish) populations.\ud \ud Methods:\ud Cause and age of death during 2006-2010 inclusive for individuals with schizophrenia or bipolar disorder registered on the Glasgow Psychosis Clinical Information System (PsyCIS) were obtained by linkage to the Scottish General Register Office (GRO). Rate and cause of death by socioeconomic status, measured by Scottish Index of Multiple Deprivation (SIMD), were compared to the Glasgow and Scottish populations.\ud \ud Results:\ud Death rates were higher in people with SMI across all socioeconomic quintiles compared to the Glasgow and Scottish populations, and persisted when suicide was excluded. Differences were largest in the most deprived quintile (794.6 per 10,000 population vs. 274.7 and 252.4 for Glasgow and Scotland respectively). Cause of death varied by socioeconomic status. For those living in the most deprived quintile, higher drug-related deaths occurred in those with SMI compared to local Glasgow and wider Scottish population rates (12.3% vs. 5.9%, p =