Search

Background: Severe mental illness (SMI) has been associated with reduced bone density and increased risk of fractures, although some studies have shown inconsistent results., Aim: To examine the association between SMI and recorded diagnosis of osteoporosis and fragility fracture in people aged ≥50 years., Design and Setting: Population-based cohort study set in UK primary care., Method: Anonymised primary care data (IQVIA Medical Research Database) were used. Patients with a diagnosis of SMI aged 50-99 years (2000-2018) were matched to individuals without SMI. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Analyses were stratified by sex and age, accounting for social deprivation, year, smoking, alcohol, and body mass index., Results: In total, 444 480 people were included (SMI n = 50 006; unexposed n = 394 474). In men, diagnosis of SMI increased the likelihood of an osteoporosis diagnosis, with differences mainly observed among the youngest (aged 50-54 years: HR 2.12, 95% CI = 1.61 to 2.79) and the oldest (aged 85-99 years: HR 2.15, 95% CI = 1.05 to 4.37), and SMI increased the risk of fragility fractures across all ages. In women, SMI increased the risk of an osteoporosis diagnosis only in those aged 50-54 years (HR 1.16, 95% CI = 1.01 to 1.34), but increased the risk of fragility fractures across all ages. There were more than twice as many men with SMI with fragility fracture records than with an osteoporosis diagnosis: fragility fracture:osteoporosis = 2.10, compared with fragility fracture:osteoporosis = 1.89 in men without SMI. The fragility fracture:osteoporosis ratio was 1.56 in women with SMI versus 1.11 in women without SMI., Conclusion: SMI is associated with an increased likelihood of fragility fractures and osteoporosis underdiagnosis. Interventions should be considered to mitigate the increased risk of fractures in people with SMI., (© The Authors.)

Background: Oral health of people with severe mental illness (SMI) remains an important public health issue, despite evidence pointing suboptimal dental health outcomes in this population. Aims: We test the hypotheses that individuals with SMI have lower contact with dental services and higher levels of fillings and extractions. We also examine effect modification by age-group. Methods: We used linked administrative data from general practitioner (GP), hospital and dental records to examine dental service use and treatments (extractions, fillings, crowns and x-rays) among the Northern Ireland hospital population between January 2015 and November 2019 (N = 798,564). Results: After adjusting for available socio-demographic characteristics, analysis indicated lower levels of dental service use (OR = 0.80, 95% CI = 0.77, 0.84), including lower likelihood of fillings (OR = 0.81, 0.77, 0.84) and x-rays (OR = 0.77, 0.74, 0.81), but higher levels of extractions (OR = 1.23, 1.18, 1.29) among patients with SMI. We also found effect modification by age-group, with older individuals with SMI less likely to have each of the four dental treatments. Conclusions: We suggest that in the general area of physical healthcare for people with SMI, oral healthcare is neglected. There is a need for improved understanding of the barriers to routine care and treatment, and development of psychoeducational interventions. [ABSTRACT FROM AUTHOR]

Background: People with severe mental illness (SMI) such as schizophrenia and bipolar disorder are at a substantially higher risk of premature death in that they die between 10 and 20 years earlier than the general population. Cardiovascular disease (CVD) and diabetes are the main potentially avoidable contributors to early death. Research that explores the experiences of people with SMI highlights their struggles in engaging with health professionals and accessing effective and timely interventions for physical health conditions. A consequence of such struggles to navigate and access physical healthcare results in many people with SMI relying heavily on support provided by informal carers (e.g., family members, close friends). Despite this, the experiences of informal carers, and the roles they undertake in relation to supporting the physical health and psychotropic medication use of people with SMI, remains under-researched. Aims: To explore the impacts of providing care for physical health in severe mental illness on informal carers. Method: Thematic analysis of semi-structured interviews with eight informal carers of people with SMI in United Kingdom (UK) national health services. Results: Informal carers played an active part in the management of the patient's conditions and shared their illness experience. Involvement of informal carers was both emotional and practical and informal carers' own lives were affected in ways that were sometimes deeply profound. Informal carers were involved in both 'looking after' the patient from the perspective of doing practical tasks such as collecting dispensed medication from a community pharmacy (caring for) and managing feelings and emotions (caring about). Conclusions: Providing care for the physical health of someone with SMI can be understood as having two dimensions - 'caring for' and 'caring about'. The findings suggest a bidirectional relationship between these two dimensions, and both have a cost for the informal carer. With appropriate support informal carers could be more actively involved at all stages of care without increasing their burden. This should be with an awareness that carers may minimise the information they share about their own needs and impacts of their role to spare the person they care and themselves any distress. [ABSTRACT FROM AUTHOR]

Background: People with severe mental illness (SMI), such as schizophrenia, have higher rates of type 2 diabetes and worse outcomes, compared to those without SMI and it is not known whether diabetes self‐management interventions are effective for people who have both conditions. Research in this area has been impeded by a lack of consensus on which outcomes to prioritise in people with co‐existing SMI and diabetes. Aims: To develop a core outcome set (COS) for use in effectiveness trials of diabetes self‐management interventions in adults with both type 2 diabetes and SMI. Methods: The COS was developed in three stages: (i) identification of outcomes from systematic literature review of intervention studies, followed by multi‐stakeholder and service user workshops; (ii) rating of outcomes in a two‐round online Delphi survey; (iii) agreement of final 'core' outcomes through a stakeholder consensus workshop. Results: Seven outcomes were selected: glucose control, blood pressure, body composition (body weight, BMI, body fat), health‐related quality of life, diabetes self‐management, diabetes‐related distress and medication adherence. Conclusions: This COS is recommended for future trials of effectiveness of diabetes self‐management interventions for people with SMI and type 2 diabetes. Its use will ensure trials capture important outcomes and reduce heterogeneity so findings can be readily synthesised to inform practice and policy. [ABSTRACT FROM AUTHOR]

In 2008, the UK entered a period of economic recession followed by sustained austerity measures. We investigate changes in inequalities by area deprivation and urbanicity in incidence of severe mental illness (SMI, including schizophrenia-related disorders and bipolar disorder) between 2000 and 2017. We analysed 4.4 million individuals from primary and secondary care routinely collected datasets (2000–2017) in Wales and estimated the incidence of SMI by deprivation and urbanicity measured by the Welsh Index of Multiple Deprivation (WIMD) and urban/rural indicator respectively. Using linear modelling and joinpoint regression approaches, we examined time trends of the incidence and incidence rate ratios (IRR) of SMI by the WIMD and urban/rural indicator adjusted for available confounders. We observed a turning point of time trends of incidence of SMI at 2008/2009 where slope changes of time trends were significantly increasing. IRRs by deprivation/urbanicity remained stable or significantly decreased over the study period except for those with bipolar disorder sourced from secondary care settings, with increasing trend of IRRs (increase in IRR by deprivation after 2010: 1.6 % per year, 95 % CI: 1.0 %–2.2 %; increase in IRR by urbanicity 1.0 % per year, 95 % CI: 0.6 %–1.3 %). There was an association between recession/austerity and an increase in the incidence of SMI over time. There were variations in the effects of deprivation/urbanicity on incidence of SMI associated with short- and long-term socioeconomic change. These findings may support targeted interventions and social protection systems to reduce incidence of SMI. [ABSTRACT FROM AUTHOR]

Introduction: Delirium is an acute neuro-psychiatric disturbance precipitated by a range of physical stressors, with high morbidity and mortality. Little is known about its relationship with severe mental illness (SMI)., Methods: We conducted a retrospective cohort study using linked data analyses of the UK Clinical Practice Research Datalink (CPRD) and Hospital Episodes Statistics (HES) databases. We ascertained yearly hospital delirium incidence from 2000 to 2017 and used logistic regression to identify associations with delirium diagnosis in a population with SMI., Results: The cohort included 249,047 people with SMI with median follow-up time in CPRD of 6.4 years. A total of 85,979 patients were eligible for linkage to HES. Delirium incidence increased from 0.04 (95% CI 0.02-0.07) delirium associated admissions per 100 person-years in 2000 to 1.05 (95% CI 0.93-1.17) per 100 person-years in 2017, increasing most notably from 2010 onwards. Delirium was associated with older age at study entry (OR 1.05 per year, 95% CI 1.05-1.06), SMI diagnosis of bipolar affective disorder (OR 1.66, 95% CI 1.44-1.93) or other psychosis (OR 1.56, 95% CI 1.35-1.80) relative to schizophrenia, and more physical comorbidities (OR 1.08 per additional comorbidity of the Charlson Comorbidity Index, 95% CI 1.02-1.14). Patients with delirium received more antipsychotic medication during follow-up (1-2 antipsychotics OR 1.65, 95% CI 1.44-1.90; >2 antipsychotics OR 2.49, 95% CI 2.12-2.92)., Conclusions: The incidence of recorded delirium diagnoses in people with SMI has increased in recent years. Older people prescribed more antipsychotics and with more comorbidities have a higher incidence. Linked electronic health records are feasible for exploring hospital diagnoses such as delirium in SMI., (© 2022 The Authors. Acta Psychiatrica Scandinavica published by John Wiley & Sons Ltd.)

Background: People with severe mental illness and type 2 diabetes have a reduced life expectancy compared to the general population. One factor that contributes to this is the inability to provide optimal management, as the two conditions are typically managed by separate physical and mental health systems. The role of care navigators in coordinating diabetes care in people with severe mental illness may provide a solution to better management. Aim: To explore the views of clinicians and people with severe mental illness and type 2 diabetes on an integrated health service model with a focus on the care navigator to identify potential mechanisms of action. Design: Qualitative one‐to‐one semi‐structured interviews and part of a wider pilot intervention study. Setting: Community Mental Health Unit in South London. Method: Topic guides explored the perspectives and experiences of both clinicians and people with severe mental illness and diabetes. Data analysis was conducted using Thematic Analysis. Results: From the analysis of 19 participants, five main themes emerged regarding the care navigator role: administrative service; signposting to local services; adhering to lifestyle changes and medication; engaging in social activities; further skills and training needed. The key findings from this study emphasise the benefits that the role of a care navigator has in helping people with severe mental illness to better manage their diabetes i.e. through diet, exercise medication and attending essential health check‐ups. Conclusion: This study illustrates that having a care navigator in place empowers those with severe mental illness to improve the management of their diabetes. Future research should focus on the extent to which care navigators are effective in improving specific outcomes. [ABSTRACT FROM AUTHOR]

Background: The life expectancy of people with severe mental illness (SMI) is shorter than those without SMI, with multimorbidity and poorer physical health contributing to health inequality. Screening tools could potentially assist the optimisation of medicines to protect the physical health of people with SMI. The aim of our research was to design and validate a medicines optimisation tool (OPTIMISE) to help clinicians to optimise physical health in people with SMI. Methods: A review of existing published guidelines, PubMed and Medline was carried out. Literature was examined for medicines optimisation recommendations and also for reference to the management of physical illness in people with mental illness. Potential indicators were grouped according to physiological system. A multidisciplinary team with expertise in mental health and the development of screening tools agreed that 83 indicators should be included in the first draft of OPTIMISE. The Delphi consensus technique was used to develop and validate the contents. A 17-member multidisciplinary panel of experts from the UK and Ireland completed 2 rounds of Delphi consensus, rating their level of agreement to 83 prescribing indicators using a 5-point Likert scale. Indicators were accepted for inclusion in the OPTIMISE tool after achieving a median score of 1 or 2, where 1 indicated strongly agree and 2 indicated agree, and 75th centile value of ≤ 2. Interrater reliability was assessed among 4 clinicians across 20 datasets and the chance corrected level of agreement (kappa) was calculated. The kappa statistic was interpreted as poor if 0.2 or less, fair if 0.21–0.4, moderate if 0.41–0.6, substantial if 0.61–0.8, and good if 0.81–1.0. Results: Consensus was achieved after 2 rounds of Delphi for 62 prescribing indicators where 53 indicators were accepted after round 1 and a further 9 indicators were accepted after round 2. Interrater reliability of OPTIMISE between physicians and pharmacists indicated a substantial level of agreement with a kappa statistic of 0.75. Conclusions: OPTIMISE is a 62 indicator medicines optimisation tool designed to assist decision making in those treating adults with SMI. It was developed using a Delphi consensus methodology and interrater reliability is substantial. OPTIMISE has the potential to improve medicines optimisation by ensuring preventative medicines are considered when clinically indicated. Further research involving the implementation of OPTIMISE is required to demonstrate its true benefit. Trial registration: This article does not report the results of a health care intervention on human participants. [ABSTRACT FROM AUTHOR]

Background: People with severe mental illness (SMI), such as schizophrenia, have higher rates of physical long-term conditions (LTCs), poorer health outcomes, and shorter life expectancy compared with the general population. Previous research exploring SMI and diabetes highlights that people with SMI experience barriers to self-management, a key component of care in long-term conditions; however, this has not been investigated in the context of other LTCs. The aim of this study was to explore the lived experience of co-existing SMI and LTCs for service users, carers, and healthcare professionals. Methods: A qualitative study with people with SMI and LTCs, their carers, and healthcare professionals, using semi-structured interviews, focused observations, and focus groups across the UK. Forty-one interviews and five focus groups were conducted between December 2018 and April 2019. Transcripts were coded by two authors and analysed thematically. Results: Three themes were identified, 1) the precarious nature of living with SMI, 2) the circularity of life with SMI and LTCs, and 3) the constellation of support for self-management. People with co-existing SMI and LTCs often experience substantial difficulties with self-management of their health due to the competing demands of their psychiatric symptoms and treatment, social circumstances, and access to support. Multiple long-term conditions add to the burden of self-management. Social support, alongside person-centred professional care, is a key facilitator for managing health. An integrated approach to both mental and physical healthcare was suggested to meet service user and carer needs. Conclusion: The demands of living with SMI present a substantial barrier to self-management for multiple co-existing LTCs. It is important that people with SMI can access person-centred, tailored support for their LTCs that takes into consideration individual circumstances and priorities. [ABSTRACT FROM AUTHOR]

Background: Despite increased rates of physical health problems in people with schizophrenia, bipolar disorder, and other psychotic illnesses, the temporal relationship between physical disease acquisition and diagnosis of a severe mental illness remains unclear. We aimed to determine the cumulative prevalence of 24 chronic physical conditions in people with severe mental illness from 5 years before to 5 years after their diagnosis., Methods: In this cohort study, we used the UK Clinical Practice Research Datalink (CPRD) to identify patients aged 18-100 years who were diagnosed with severe mental illness between Jan 1, 2000, and Dec 31, 2018. Each patient with severe mental illness was matched with up to four individuals in the CPRD without severe mental illness by sex, 5-year age band, primary care practice, and year of primary care practice registration. Individuals in the matched cohort were assigned an index date equal to the date of severe mental illness diagnosis in the patient with severe mental illness to whom they were matched. Our primary outcome was the cumulative prevalence of 24 physical health conditions, based on the Charlson and Elixhauser comorbidity indices, at 5 years, 3 years, and 1 year before and after severe mental illness diagnosis and at the time of diagnosis. We used logistic regression to compare people with severe mental illness with the matched cohort, adjusting for key variables such as age, sex, and ethnicity., Findings: We identified 68 789 patients diagnosed with a severe mental illness between Jan 1, 2000, and Dec 31, 2018, and we matched them to 274 827 patients without a severe mental illness diagnosis. In both cohorts taken together, the median age was 40·90 years (IQR 29·46-56·00), 175 138 (50·97%) people were male, and 168 478 (49·03%) were female. The majority of patients were of White ethnicity (59 867 [87·03%] patients with a severe mental illness and 244 566 [88·99%] people in the matched cohort). The most prevalent conditions at the time of diagnosis in people with severe mental illness were asthma (10 581 [15·38%] of 68 789 patients), hypertension (8696 [12·64%]), diabetes (4897 [7·12%]), neurological disease (3484 [5·06%]), and hypothyroidism (2871 [4·17%]). At diagnosis, people with schizophrenia had increased odds of five of 24 chronic physical conditions compared with matched controls, and nine of 24 conditions were diagnosed less frequently than in matched controls. Individuals with bipolar disorder and other psychoses had increased odds of 15 conditions at diagnosis. At 5 years after severe mental illness diagnosis, these numbers had increased to 13 conditions for schizophrenia, 19 for bipolar disorder, and 16 for other psychoses., Interpretation: Elevated odds of multiple conditions at the point of severe mental illness diagnosis suggest that early intervention on physical health parameters is necessary to reduce morbidity and premature mortality. Some physical conditions might be under-recorded in patients with schizophrenia relative to patients with other severe mental illness subtypes., Funding: UK Office For Health Improvement and Disparities., Competing Interests: Declaration of interests JFH has received consultancy fees from the Wellcome Trust and juli Health. All other authors declare no competing interests., (Copyright © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)

Aims: Diabetes is two to three times more prevalent in people with severe mental illness, yet little is known about the challenges of managing both conditions from the perspectives of people living with the co‐morbidity, their family members or healthcare staff. Our aim was to understand these challenges and to explore the circumstances that influence access to and receipt of diabetes care for people with severe mental illness. Methods: Framework analysis of qualitative semi‐structured interviews with people with severe mental illness and diabetes, family members, and staff from UK primary care, mental health and diabetes services, selected using a maximum variation sampling strategy between April and December 2018. Results: In all, 39 adults with severe mental illness and diabetes (3 with type 1 diabetes and 36 with type 2 diabetes), nine family members and 30 healthcare staff participated. Five themes were identified: (a) Severe mental illness governs everyday life including diabetes management; (b) mood influences capacity and motivation for diabetes self‐management; (c) cumulative burden of managing multiple physical conditions; (d) interacting conditions and overlapping symptoms and (e) support for everyday challenges. People living with the co‐morbidity and their family members emphasised the importance of receiving support for the everyday challenges that impact diabetes management, and identified barriers to accessing this from healthcare providers. Conclusions: More intensive support for diabetes management is needed when people's severe mental illness (including symptoms of depression) or physical health deteriorates. Interventions that help people, including healthcare staff, distinguish between symptoms of diabetes and severe mental illness are also needed. [ABSTRACT FROM AUTHOR]

Background: People with severe mental illness (SMI) have higher rates of a range of physical health conditions, yet little is known regarding the clustering of physical health conditions in this population. We aimed to investigate the prevalence and clustering of chronic physical health conditions in people with SMI, compared to people without SMI., Methods and Findings: We performed a cohort-nested accumulated prevalence study, using primary care data from the Clinical Practice Research Datalink (CPRD), which holds details of 39 million patients in the United Kingdom. We identified 68,783 adults with a primary care diagnosis of SMI (schizophrenia, bipolar disorder, or other psychoses) from 2000 to 2018, matched up to 1:4 to 274,684 patients without an SMI diagnosis, on age, sex, primary care practice, and year of registration at the practice. Patients had a median of 28.85 (IQR: 19.10 to 41.37) years of primary care observations. Patients with SMI had higher prevalence of smoking (27.65% versus 46.08%), obesity (24.91% versus 38.09%), alcohol misuse (3.66% versus 13.47%), and drug misuse (2.08% versus 12.84%) than comparators. We defined 24 physical health conditions derived from the Elixhauser and Charlson comorbidity indices and used logistic regression to investigate individual conditions and multimorbidity. We controlled for age, sex, region, and ethnicity and then additionally for health risk factors: smoking status, alcohol misuse, drug misuse, and body mass index (BMI). We defined multimorbidity clusters using multiple correspondence analysis (MCA) and K-means cluster analysis and described them based on the observed/expected ratio. Patients with SMI had higher odds of 19 of 24 conditions and a higher prevalence of multimorbidity (odds ratio (OR): 1.84; 95% confidence interval [CI]: 1.80 to 1.88, p < 0.001) compared to those without SMI, particularly in younger age groups (males aged 30 to 39: OR: 2.49; 95% CI: 2.27 to 2.73; p < 0.001; females aged 18 to 30: OR: 2.69; 95% CI: 2.36 to 3.07; p < 0.001). Adjusting for health risk factors reduced the OR of all conditions. We identified 7 multimorbidity clusters in those with SMI and 7 in those without SMI. A total of 4 clusters were common to those with and without SMI; while 1, heart disease, appeared as one cluster in those with SMI and 3 distinct clusters in comparators; and 2 small clusters were unique to the SMI cohort. Limitations to this study include missing data, which may have led to residual confounding, and an inability to investigate the temporal associations between SMI and physical health conditions., Conclusions: In this study, we observed that physical health conditions cluster similarly in people with and without SMI, although patients with SMI had higher burden of multimorbidity, particularly in younger age groups. While interventions aimed at the general population may also be appropriate for those with SMI, there is a need for interventions aimed at better management of younger-age multimorbidity, and preventative measures focusing on diseases of younger age, and reduction of health risk factors., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: JFH has received consultancy fees from Wellcome Trust and juli Health. The other authors have declared that no competing interests exist.

Accessible Summary: What is already known about this topic?: Individuals with severe mental illness (SMI) have elevated risks for physical health problems and low screening rates.No previous studies have compared the physical health promotion needs of people with SMI using the same screening tool across different international settings. What this paper adds to existing knowledge?: It appears feasible to use the HIP to profile and compare physical health‐related risks in people with SMI across different international settings.The HIP tool identified significant differences in areas of risk across the four countries. What are the implications for practice?: The HIP could be used to identify unique clusters of health promotion needs in different countries.Use of HIP health checks may support implementation of individualized interventions. Introduction: To date, no studies have contrasted physical health profiles of people with severe mental illness (SMI) in different countries. Aim: To evaluate feasibility of using the Health Improvement Profile (HIP) to compare and contrast physical health and health behaviours of people with SMI from four countries. Method: An observational feasibility study using secondary analysis of pooled health state and lifestyle data. Physical health checks using modified versions of HIP were administered in four countries. Results: Findings suggest feasibility of HIP screening to profile and compare physical health and health behaviours of people with SMI across international settings. High overall numbers of risk items (red flags) were identified in all but the Thailand sample. Despite some commonalities, there were important differences in health profiles across countries. Discussion: This is the first study to demonstrate feasibility of the HIP to compare health risks in individuals with SMI across countries. Future multi‐national HIP studies should recruit a fully powered stratified random sample of people with SMI that is representative of each setting. Implications for practice: It appears feasible to utilize the HIP to identify specific areas of health risk in different countries, which may help to better focus nursing interventions and use of resources. [ABSTRACT FROM AUTHOR]

The article reports on the treatment of patients with severe mental illness, usually schizophrenia or bipolar affective disorder and substance misuse. The Great Britain Department of Health guidelines recommend that general practitioners (GPs) consider the fact that about 50% of patients with severe mental illness have a lifetime diagnosis of substance misuse disorder.

Objective: To evaluate an enhanced physical health clinic led by physician associates (PAs) for patients with severe mental illness., Methods: A guidance and data collection tool was developed to support and document the outcomes of the PA-led enhanced physical health clinic., Results: The clinic led to diagnoses of diabetes, hyperlipidemia, and hematologic abnormalities. One patient was started on metformin, two patients started a prediabetes program with their general practitioner, one patient started simvastatin, one patient switched from cigarettes to e-cigarettes, and one patient switched from olanzapine to aripiprazole because of metabolic adverse reactions. Three patients intended to contact the National Health Service for cancer screening for which they were eligible but they had not taken up., Conclusions: PAs can be integrated into a community mental health multidisciplinary team and support the physical health of people with severe mental illness. Mental health trusts should consider roles for PAs in their workforce planning., (Copyright © 2021 American Academy of Physician Assistants.)

Aim/goal/purpose: Population surveys underrepresent people with severe mental ill health. This paper aims to use multiple regression analyses to explore perceived social support, loneliness and factor associations from self-report survey data collected during the Covid-19 pandemic in a sample of individuals with severe mental ill health., Design/methodology/approach: We sampled an already existing cohort of people with severe mental ill health. Researchers contacted participants by phone or by post to invite them to take part in a survey about how the pandemic restrictions had impacted health, Covid-19 experiences, perceived social support, employment and loneliness. Loneliness was measured by the three item UCLA loneliness scale., Findings: In the pandemic sub-cohort, 367 adults with a severe mental ill health diagnosis completed a remote survey. 29-34% of participants reported being lonely. Loneliness was associated with being younger in age (adjusted OR = -.98, p = .02), living alone (adjusted OR = 2.04, p = .01), high levels of social and economic deprivation (adjusted OR = 2.49, p = .04), and lower perceived social support (B = -5.86, p < .001). Living alone was associated with lower perceived social support. Being lonely was associated with a self-reported deterioration in mental health during the pandemic (adjusted OR = 3.46, 95%CI 2.03-5.91)., Practical Implications: Intervention strategies to tackle loneliness in the severe mental ill health population are needed. Further research is needed to follow-up the severe mental ill health population after pandemic restrictions are lifted to understand perceived social support and loneliness trends., Originality: Loneliness was a substantial problem for the severe mental ill health population before the Covid-19 pandemic but there is limited evidence to understand perceived social support and loneliness trends during the pandemic., Competing Interests: The authors have declared that no competing interests exist.

Background: Informal carers play an important role in the care of patients with mental illness. Little is known of the relationship experience of the patient and their informal carer (caring dyad) as the context for the intersection between physical and mental health. Aim: This study aimed to explore the impact of comorbid cardiometabolic risk (CMR), metabolic syndrome (MetS) and related diseases and severe mental illness (SMI) on the caring dyad. Design: Between October 2018 and March 2020, we conducted 11 in‐depth semi‐structured interviews across 6 adult caring dyads, interviewing each individual separately. Setting: Dyads were recruited within the United Kingdom; informal carers were nominated by the patient as a person who provided a significant amount of support. Variable Being Studied: Participants were asked about the impacts of illness and caring on daily life. Data Analysis: Data were analysed at the dyad level using thematic analysis, comparing and contrasting responses from each individual. Results: Themes were identified: enhanced closeness, dissonance and balance within the caring dyad. Discussion and Conclusions: This study uses a particular population of patients with comorbid CMR factors, MetS and related diseases and SMI and their informal carers to explore the relevance and utility of caring dyads as an analytical framework to inform practice and policy. Future interventions should consider factors impacting on dyadic relationships to formulate effective and sustainable dyadic care and treatment to improve health outcomes for both patients with SMI and their informal carers. Patient/Public Involvement: In this study, patients and informal carers were participants. Topic guides were piloted with a patient and informal carer. [ABSTRACT FROM AUTHOR]

The majority of research into the mental health benefits of blue space (outdoor places where water is a central feature) has focussed on the associations between neighbourhood exposure to these spaces and population‐level incidence of unipolar depression or anxiety disorder. There has been little exploration of the therapeutic use of blue space by those navigating bipolar, schizophrenia or other psychotic conditions. Knowledge arising from such an exploration could assist in the design and optimisation of nature‐based care for people with these conditions, as well as with self‐management.We conducted semi‐structured online and telephone interviews with 19 adults who self‐reported experience of these conditions. Interviews were conducted in the United Kingdom from August to December 2021.We describe four of the key interpretive themes identified via an in‐depth inductive thematic analysis of the interview transcripts to highlight how participants sought out moments of affective sanctuary through their blue encounters. Blue spaces were described as having the potential to reset the mind, emotions and body. This was in part due to their socially undemanding nature, and ability to provide respite from a socially stressful world.Participants described developing a blue identity, whereby a sense of attachment to and shared history with these places was articulated as well as incorporating blue spaces into self‐ and emotion‐regulation practices. Finally, participants described experiences of and recommendations for a therapeutic blue intervention. The role of biodiversity in contributing to the benefits of blue spaces was implied primarily in terms of perceived soundscapes, but also through visual observations.Synthesis and applications. Blue care for people with bipolar, schizophrenia or other psychotic conditions should consider the need that some individuals have for solitude and proximity to their home when they visit blue spaces, as well as individual differences in the features of blue space interactions that provide the greatest benefit. Read the free Plain Language Summary for this article on the Journal blog. Read the free Plain Language Summary for this article on the Journal blog. [ABSTRACT FROM AUTHOR]

Background: Proxy recruitment of patient participants through community pharmacies may be a valuable strategy to maximise participation. This paper focuses on the feasibility of such a recruitment strategy for research involving people who experience severe mental illness., Methods: Fifty-three community pharmacies, including 50 'Research Ready' pharmacies, were asked to recruit people with severe mental illness for participation in research. Pharmacists were asked to provide participant information to anyone presenting a prescription meeting specific criteria., Results: Thirteen recruitment sites (25%) (from 4 distinct organisations) were approved to recruit patient participants. Eighty-five percent (n = 11) failed to recruit any potential participants., Conclusions: Proxy recruitment of people with severe mental illness through community pharmacies was challenging with challenges in both pharmacy- and participant-recruitment. Further investigation into supporting community pharmacists' engagement with recruiting patients with SMI as research participants is required.

Background: Peer support is an established intervention involving a person recovering from mental illness supporting others with mental illness. Peer support is an under-used resource in global mental health. Building upon comprehensive formative research, this study will rigorously evaluate the impact of peer support at multiple levels, including service user outcomes (psychosocial and clinical), peer support worker outcomes (work role and empowerment), service outcomes (cost-effectiveness and return on investment), and implementation outcomes (adoption, sustainability and organisational change)., Methods: UPSIDES-RCT is a pragmatic, parallel-group, multicentre, randomised controlled trial assessing the effectiveness of using peer support in developing empowering mental health services (UPSIDES) at four measurement points over 1 year (baseline, 4-, 8- and 12-month follow-up), with embedded process evaluation and cost-effectiveness analysis. Research will take place in a range of high-, middle- and low-income countries (Germany, UK, Israel, India, Uganda and Tanzania). The primary outcome is social inclusion of service users with severe mental illness (N = 558; N = 93 per site) at 8-month follow-up, measured with the Social Inclusion Scale. Secondary outcomes include empowerment (using the Empowerment Scale), hope (using the HOPE scale), recovery (using Stages of Recovery) and health and social functioning (using the Health of the Nations Outcome Scales). Mixed-methods process evaluation will investigate mediators and moderators of effect and the implementation experiences of four UPSIDES stakeholder groups (service users, peer support workers, mental health workers and policy makers). A cost-effectiveness analysis examining cost-utility and health budget impact will estimate the value for money of UPSIDES peer support., Discussion: The UPSIDES-RCT will explore the essential components necessary to create a peer support model in mental health care, while providing the evidence required to sustain and eventually scale-up the intervention in different cultural, organisational and resource settings. By actively involving and empowering service users, UPSIDES will move mental health systems toward a recovery orientation, emphasising user-centredness, community participation and the realisation of mental health as a human right., Trial Registration: ISRCTN, ISRCTN26008944. Registered on 30 October 2019.

Smoking contributes to health inequalities for people with severe mental illness (SMI). Although smoking cessation interventions are effective in the short term, there are few long-term trial-based estimates of abstinence. The SCIMITAR trials programme includes the largest trial to date of a smoking cessation intervention for people with SMI, but this was underpowered to detect anticipated long-term quit rates. By pooling pilot and full-trial data we found that quit rates were maintained at 12 months (OR = 1.67, 95% CI 1.02-2.73, P = 0.04). Policymakers can now be confident that bespoke smoking cessation interventions produce successful short- and long-term quitting.

In this article we use the example of race/ethnic inequalities in severe mental illness to demonstrate the utility of a novel integrative approach to theorising the role of racism in generating inequality. Ethnic minority people in the UK are at much greater risk than White British people of being diagnosed with a severe – psychosis related – mental illness, and this is particularly the case for those with Black Caribbean or Black African origins. There is entrenched dispute about how we might understand the drivers of this inequality. To address this dispute we build on, and to a certain extent refine, established approaches to theorising structural and institutional racism, and integrate this within a theoretical framework that also incorporates racist/discriminatory interactions (interpersonal racism). We argue that this provides a conceptually robust and thorough analysis of the role of inter‐related dimensions of racism in shaping risks of severe mental illness, access to care, and policy and practice responses. This analysis carries implications for a broader, but integrated, understanding of the fundamental drives of race/ethnic inequalities in health and for an anti‐racism public health agenda. [ABSTRACT FROM AUTHOR]

Background: The higher mortality rates in people with severe mental illness (SMI) may be partly due to inadequate integration of physical and mental healthcare. Accurate recording of SMI during hospital admissions has the potential to facilitate integrated care including tailoring of treatment to account for comorbidities. We therefore aimed to investigate the sensitivity of SMI recording within general hospitals, changes in diagnostic accuracy over time, and factors associated with accurate recording., Methods and Findings: We undertook a cohort study of 13,786 adults with SMI diagnosed during 2006-2017, using data from a large secondary mental healthcare database as reference standard, linked to English national records for 45,706 emergency hospital admissions. We examined general hospital record sensitivity across patients' subsequent hospital records, for each subsequent emergency admission, and at different levels of diagnostic precision. We analyzed time trends during the study period and used logistic regression to examine sociodemographic and clinical factors associated with psychiatric recording accuracy, with multiple imputation for missing data. Sensitivity for recording of SMI as any mental health diagnosis was 76.7% (95% CI 76.0-77.4). Category-level sensitivity (e.g., proportion of individuals with schizophrenia spectrum disorders (F20-29) who received any F20-29 diagnosis in hospital records) was 56.4% (95% CI 55.4-57.4) for schizophrenia spectrum disorder and 49.7% (95% CI 48.1-51.3) for bipolar affective disorder. Sensitivity for SMI recording in emergency admissions increased from 47.8% (95% CI 43.1-52.5) in 2006 to 75.4% (95% CI 68.3-81.4) in 2017 (ptrend < 0.001). Minority ethnicity, being married, and having better mental and physical health were associated with less accurate diagnostic recording. The main limitation of our study is the potential for misclassification of diagnosis in the reference-standard mental healthcare data., Conclusions: Our findings suggest that there have been improvements in recording of SMI diagnoses, but concerning under-recording, especially in minority ethnic groups, persists. Training in culturally sensitive diagnosis, expansion of liaison psychiatry input in general hospitals, and improved data sharing between physical and mental health services may be required to reduce inequalities in diagnostic practice., Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: The data resource is funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. HM, AB, DO, and AS are supported by the UCLH NIHR Biomedical Research Centre. KD is funded by the NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. DO is in part supported by the NIHR Applied Health Research Collaboration (ARC) North Thames at Bart’s Health NHS Trust. RS declares receipt of research support within the last 5 years from Roche, Janssen, GSK, and Takeda. AS was funded by a fellowship from the Wellcome trust during the submitted work.

Background: People with serious mental illness have sexual health needs, but there is limited evidence regarding effective interventions to promote their sexual health., Objectives: To develop a sexual health promotion intervention for people with serious mental illness, and to conduct a feasibility trial in order to establish the acceptability and parameters for a fully powered trial., Design: A two-armed randomised controlled, open feasibility study comparing usual care alone with usual care plus the adjunctive intervention., Setting: Five community mental health providers in Leeds, Barnsley, Brighton and London., Participants: Adults aged ≥ 18 years with serious mental illness and receiving care from community mental health teams., Interventions: A remote, web-based computer randomisation system allocated participants to usual care plus the RESPECT (Randomised Evaluation of Sexual health Promotion Effectiveness informing Care and Treatment) intervention (three sessions of 1 hour) (intervention arm) or usual care only (control arm). The intervention was an interactive manualised package of exercises, quizzes and discussion topics focusing on knowledge, motivation and behavioural intentions to adopt safer sexual behaviours., Main Outcome Measures: Feasibility parameters including establishing the percentage of people who were eligible, consented and were retained in each arm of the trial, retention for the intervention, as well as the completeness of the data collection. Data were collected on knowledge, motivation to adopt safer sexual behaviour, sexual behaviour, sexual stigma, sexual health service use and quality of life. Data were collected at baseline and then at 3 months and 6 months post randomisation., Results: Of a target of 100 participants, 72 people participated in the trial over 12 months. Of the 36 participants randomised to the intervention arm, 27 received some of the intervention (75.0%). At 3 months, 59 of the 72 participants completed follow-up questionnaires (81.9%) (30 participants from the intervention arm and 29 participants from the control arm). Only the first 38 participants were followed up at 6 months. However, data were collected on 29 out of 38 participants (76.3% retention): 13 in the intervention arm and 16 in the control arm. No adverse events were reported. Participant feedback confirmed that both the design and the intervention were acceptable. The economic analysis indicated high completion rates and completeness of data among participants who continued the trial., Conclusions: Despite the limitations, the findings suggest that it is both acceptable and feasible to undertake a sexual health promotion study for people with serious mental illness., Future Work: A fully powered randomised controlled trial would be required to establish the clinical effectiveness of the intervention., Trial Registration: Current Controlled Trials ISRCTN15747739., Funding: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment ; Vol. 23, No. 65. See the NIHR Journals Library website for further project information., Competing Interests: Catherine Hewitt reports being a member of the National Institute for Health Research Health Technology Assessment Commissioning Board.

Aims To investigate whether the association of severe mental illness with Type 2 diabetes varies by ethnicity and age. Methods We conducted a cross-sectional analysis of data from an ethnically diverse sample of 588 408 individuals aged ≥18 years, registered to 98% of general practices (primary care) in London, UK. The outcome of interest was prevalent Type 2 diabetes. Results Relative to people without severe mental illness, the relative risk of Type 2 diabetes in people with severe mental illness was greatest in the youngest age groups. In the white British group the relative risks were 9.99 (95% CI 5.34, 18.69) in those aged 18-34 years, 2.89 (95% CI 2.43, 3.45) in those aged 35-54 years and 1.16 (95% CI 1.04, 1.30) in those aged ≥55 years, with similar trends across all ethnic minority groups. Additional adjustment for anti-psychotic prescriptions only marginally attenuated the associations. Assessment of estimated prevalence of Type 2 diabetes in severe mental illness by ethnicity (absolute measures of effect) indicated that the association between severe mental illness and Type 2 diabetes was more marked in ethnic minorities than in the white British group with severe mental illness, especially for Indian, Pakistani and Bangladeshi individuals with severe mental illness. Conclusions The relative risk of Type 2 diabetes is elevated in younger populations. Most associations persisted despite adjustment for anti-psychotic prescriptions. Ethnic minority groups had a higher prevalence of Type 2 diabetes in the presence of severe mental illness. Future research and policy, particularly with respect to screening and clinical care for Type 2 diabetes in populations with severe mental illness, should take these findings into account. [ABSTRACT FROM AUTHOR]

Background: Existing research exploring associations between atopic eczema (AE) or psoriasis, and severe mental illness (SMI – ie, schizophrenia, bipolar disorder, other psychoses) is limited, with longitudinal evidence particularly scarce. Therefore, temporal directions of associations are unclear. We aimed to investigate associations between AE or psoriasis and incident SMI among adults. Methods: We conducted matched cohort studies using primary care electronic health records (January 1997 to January 2020) from the UK Clinical Practice Research Datalink GOLD. We identified two cohorts: 1) adults (≥ 18 years) with and without AE and 2) adults with and without psoriasis. We matched (on age, sex, general practice) adults with AE or psoriasis with up to five adults without. We used Cox regression, stratified by matched set, to estimate hazard ratios (HRs) comparing incident SMI among adults with and without AE or psoriasis. Results: We identified 1,023,232 adults with AE and 4,908,059 without, and 363,210 with psoriasis and 1,801,875 without. After adjusting for matching variables (age, sex, general practice) and potential confounders (deprivation, calendar period) both AE and psoriasis were associated with at least a 17% increased hazard of SMI (AE: HR=1.17,95% CI=1.12– 1.22; psoriasis: HR=1.26,95% CI=1.18– 1.35). After additionally adjusting for potential mediators (comorbidity burden, harmful alcohol use, smoking status, body mass index, and, in AE only, sleep problems and high-dose glucocorticoids), associations with SMI did not persist for AE (HR=0.98,95% CI=0.93– 1.04), and were attenuated for psoriasis (HR=1.14,95% CI=1.05– 1.23). Conclusion: Our findings suggest adults with AE or psoriasis are at increased risk of SMI compared to matched comparators. After adjusting for potential mediators, associations with SMI did not persist for AE, and were attenuated for psoriasis, suggesting that the increased risk may be explained by mediating factors (eg, sleep problems). Our research highlights the importance of monitoring mental health in adults with AE or psoriasis. [ABSTRACT FROM AUTHOR]

Abstract Implementation of evidence-based cognitive behavioural therapy for psychosis (CBTp) remains low in routine services. The United Kingdom Improving Access to Psychological Therapies for people with Severe Mental Illness (IAPT-SMI) initiative aimed to address this issue. The project evaluated whether existing services could improve access to CBTp and demonstrate effectiveness using a systematic approach to therapy provision and outcome monitoring (in a similar way to the Improving Access to Psychological Therapies (IAPT) model for people with anxiety and depression). We report the clinical outcomes and key learning points from the South London and Maudsley NHS Foundation Trust IAPT-SMI demonstration site for psychosis. Additional funding enabled increased therapist capacity within existing secondary care community mental health services. Self-reported wellbeing and psychotic symptom outcomes were assessed, alongside service use and social/occupational functioning. Accepted referrals/year increased by 89% (2011/12: n = 106/year; 2012–2015: n = 200/year); 90% engaged (attended ≥5 sessions) irrespective of ethnicity, age and gender. The assessment protocol proved feasible, and pre-post outcomes (n = 280) showed clinical improvements and reduced service use, with medium effects. We conclude that, with appropriate service structure, investment allocated specifically for competent therapy provision leads to increased and effective delivery of CBTp. Our framework is replicable in other settings and can inform the wider implementation of psychological therapies for psychosis. Highlights • Individual CBTp delivered in routine services achieves good clinical outcomes. • Only a small investment in therapy provision is needed for increased delivery. • Strong clinical leadership is a key facilitator for implementation of CBTp at scale. • Routine and sessional outcome measurement is acceptable to clients with psychosis. • No demographic inequity in therapy engagement or primary outcome. [ABSTRACT FROM AUTHOR]

Abstract Background In Europe, at discharge from a psychiatric hospital, patients with severe mental illness may be exposed to one of two main care approaches: personal continuity, where one clinician is responsible for in- and outpatient care, and specialisation, where various clinicians are. Such exposure is decided through patient-clinician agreement or at the organisational level, depending on the country's health system. Since personal continuity would be more suitable for patients with complex psychosocial needs, the aim of this study was to identify predictors of patients' exposure to care approaches in different European countries. Methods Data were collected on 7302 psychiatric hospitalised patients in 2015 in Germany, Poland, and Belgium (patient-level exposure); and in the UK and Italy (organisational-level exposure). At discharge, patients were exposed to one of the care approaches according to usual practice. Putative predictors of exposure at patients' discharge were assessed in both groups of countries. Results Socially disadvantaged patients were significantly more exposed to personal continuity. In all countries, the main predictor of exposure was the admission hospital, except in Germany, where having a diagnosis of psychosis and a higher education status were predictors of exposure to personal continuity. In the UK, hospitals practising personal continuity had a more socially disadvantaged patient population. Conclusion Even in countries where exposure is decided through patient-clinician agreement, it was the admission hospital, not patient characteristics, that predicted exposure to care approaches. Nevertheless, organisational decisions in hospitals tend to expose socially disadvantaged patients to personal continuity. [ABSTRACT FROM AUTHOR]

Objective: To evaluate an enhanced physical health clinic led by physician associates (PAs) for patients with severe mental illness. Methods: A guidance and data collection tool was developed to support and document the outcomes of the PA-led enhanced physical health clinic. Results: The clinic led to diagnoses of diabetes, hyperlipidemia, and hematologic abnormalities. One patient was started on metformin, two patients started a prediabetes program with their general practitioner, one patient started simvastatin, one patient switched from cigarettes to e-cigarettes, and one patient switched from olanzapine to aripiprazole because of metabolic adverse reactions. Three patients intended to contact the National Health Service for cancer screening for which they were eligible but they had not taken up. Conclusions: PAs can be integrated into a community mental health multidisciplinary team and support the physical health of people with severe mental illness. Mental health trusts should consider roles for PAs in their workforce planning. [ABSTRACT FROM AUTHOR]

Competing Interests: Competing interests: None declared.

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., (Copyright © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)

Background: People with severe mental illnesses such as schizophrenia are three times more likely to smoke than the wider population, contributing to widening health inequalities. Smoking remains the largest modifiable risk factor for this health inequality, but people with severe mental illness have not historically engaged with smoking cessation services. We aimed to test the effectiveness of a combined behavioural and pharmacological smoking cessation intervention targeted specifically at people with severe mental illness., Methods: In the smoking cessation intervention for severe mental illness (SCIMITAR+) trial, a pragmatic, randomised controlled study, we recruited heavy smokers with bipolar disorder or schizophrenia from 16 primary care and 21 community-based mental health sites in the UK. Participants were eligible if they were aged 18 years or older, and smoked at least five cigarettes per day. Exclusion criteria included substantial comorbid drug or alcohol problems and people who lacked capacity to consent at the time of recruitment. Using computer-generated random numbers, participants were randomly assigned (1:1) to a bespoke smoking cessation intervention or to usual care. Participants, mental health specialists, and primary care physicians were unmasked to assignment. The bespoke smoking cessation intervention consisted of behavioural support from a mental health smoking cessation practitioner and pharmacological aids for smoking cessation, with adaptations for people with severe mental illness-such as, extended pre-quit sessions, cut down to quit, and home visits. Access to pharmacotherapy was via primary care after discussion with the smoking cessation specialist. Under usual care participants were offered access to local smoking cessation services not specifically designed for people with severe mental illnesses. The primary endpoint was smoking cessation at 12 months ascertained via carbon monoxide measurements below 10 parts per million and self-reported cessation for the past 7 days. Secondary endpoints were biologically verified smoking cessation at 6 months; number of cigarettes smoked per day, Fagerström Test for Nicotine Dependence (FTND) and Motivation to Quit (MTQ) questionnaire; general and mental health functioning determined via the Patient Health Questionnaire-9 (PHQ-9), the Generalised Anxiety Disorder-7 (GAD-7) questionnaire, and 12-Item Short Form Health Survey (SF-12); and body-mass index (BMI). This trial was registerd with the ISRCTN registry, number ISRCTN72955454, and is complete., Findings: Between Oct 7, 2015, and Dec 16, 2016, 526 eligible patients were randomly assigned to the bespoke smoking cessation intervention (n=265) or usual care (n=261). 309 (59%) participants were male, median age was 47·2 years (IQR 36·3-54·5), with high nicotine dependence (mean 24 cigarettes per day [SD 13·2]), and the most common severe mental disorders were schizophrenia or other psychotic illness (n=343 [65%]), bipolar disorder (n=115 [22%]), and schizoaffective disorder (n=66 [13%]). 234 (88%) of intervention participants engaged with the treatment programme and attended 6·4 (SD 3·5) quit smoking sessions, with an average duration of 39 min (SD 17; median 35 min, range 5-120). Verified quit data at 12 months were available for 219 (84%) of 261 usual care and 223 (84%) of 265 intervention participants. The proportion of participants who had quit at 12 months was higher in the intervention group than in the usual care group, but non-significantly (34 [15%] of 223 [13% of those assigned to group] vs 22 [10%] of 219 [8% of those assigned to group], risk difference 5·2%, 95% CI -1·0 to 11·4; odds ratio [OR] 1·6, 95% CI 0·9 to 2·9; p=0·10). The proportion of participants who quit at 6 months was significantly higher in the intervention group than in the usual care group (32 [14%] of 226 vs 14 [6%] of 217; risk difference 7·7%, 95% CI 2·1 to 13·3; OR 2·4, 95% CI 1·2 to 4·6; p=0·010). The incidence rate ratio for number of cigarettes smoked per day at 6 months was 0·90 (95% CI 0·80 to 1·01; p=0·079), and at 12 months was 1·00 (0·89 to 1·13; p=0·95). At both 6 months and 12 months, the intervention group was non-significantly favoured in the FTND (adjusted mean difference 6 months -0·18, 95% CI -0·53 to 0·17, p=0·32; and 12 months -0·01, -0·39 to 0·38, p=0·97) and MTQ questionnaire (adjusted mean difference 0·58, -0·01 to 1·17, p=0·056; and 12 months 0·64, 0·04 to 1·24, p=0·038). The PHQ-9 showed no difference between the groups (adjusted mean difference at 6 months 0·20, 95% CI -0·85 to 1·24 vs 12 months -0·12, -1·18 to 0·94). For the SF-12 survey, we saw evidence of improvement in physical health in the intervention group at 6 months (adjusted mean difference 1·75, 95% CI 0·21 to 3·28), but this difference was not evident at 12 months (0·59, -1·07 to 2·26); and we saw no difference in mental health between the groups at 6 or 12 months (adjusted mean difference at 6 months -0·73, 95% CI -2·82 to 1·36, and 12 months -0·41, -2·35 to 1·53). The GAD-7 questionnaire showed no difference between the groups (adjusted mean difference at 6 months -0·32 95% CI -1·26 to 0·62 vs 12 months -0·10, -1·05 to 0·86). No difference in BMI was seen between the groups (adjusted mean difference 6 months 0·16, 95% CI -0·54 to 0·85; 12 months 0·25, -0·62 to 1·13)., Interpretation: This bespoke intervention is a candidate model of smoking cessation for clinicians and policy makers to address high prevalence of smoking. The incidence of quitting at 6 months shows that smoking cessation can be achieved, but the waning of this effect by 12 months means more effort is needed for sustained quitting., Funding: National Institute for Health Research Health Technology Assessment Programme., (Copyright © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.)

There is a growing amount of research showing that a shared social identity and the sense of belonging to a family have a potential effect on health. However, little is known about the effects of severe mental illness on family identity. The authors carried out this thematic synthesis based on a systematic review of literature on family narratives of severe mental illness and family identity. The main findings indicate that in many families (i) their identity-as a shared social identity-undergoes a transformation process by which the identity aspects of being a family are reinforced; (ii) family members often take on a caring role as their main family role; and finally, (iii) a cultural component shapes this transformation process. The authors describe implications for research and application in the mental health field. All in all, family identity is transformed by the experience of severe mental illness. [ABSTRACT FROM AUTHOR]

In this paper, we explore ethnic inequalities in severe mental illness and care experiences. We consider the barriers to progressive and cohesive action and propose ways of overcoming these. Clinical and policy leadership must bring together hidden patient voices, divergent professional narratives and quality research.Declaration of interestK.B. is Editor of the British Journal of Psychiatry, but has not played any role in the decision-making for this paper. K.B. leads and J.N. is a partner and K.H. a researcher in the Synergi Collaborative Centre.

Studies assessing premature mortality in people with severe mental illness (SMI) are usually based in one setting, hospital (secondary care inpatients and/or outpatients) or community (primary care). This may lead to ascertainment bias. This study aimed to estimate standardised mortality ratios (SMRs) for all-cause and cause-specific mortality in people with SMI drawn from linked primary and secondary care populations compared to the general population. SMRs were calculated using the indirect method for a United Kingdom population of almost four million between 2004 and 2013. The all-cause SMR was higher in the cohort identified from secondary care hospital admissions (SMR: 2.9; 95% CI: 2.8-3.0) than from primary care (SMR: 2.2; 95% CI: 2.1-2.3) when compared to the general population. The SMR for the combined cohort was 2.6 (95% CI: 2.5-2.6). Cause specific SMRs in the combined cohort were particularly elevated in those with SMI relative to the general population for ill-defined and unknown causes, suicide, substance abuse, Parkinson's disease, accidents, dementia, infections and respiratory disorders (particularly pneumonia), and Alzheimer's disease. Solely hospital admission based studies, which have dominated the literature hitherto, somewhat over-estimate premature mortality in those with SMI. People with SMI are more likely to die by ill-defined and unknown causes, suicide and other less common and often under-reported causes. Comprehensive characterisation of mortality is important to inform policy and practice and to discriminate settings to allow for proportionate interventions to address this health injustice., (Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.)

Background People with diabetes and severe mental illness ( SMI) experience poorer outcomes than those with diabetes alone. To improve outcomes, it is necessary to understand the difficulties that people with SMI experience in managing their diabetes. Aims To identify barriers and enablers to effective diabetes self-management experienced by people with SMI and type 2 diabetes. Method Qualitative methodology using semi-structured interviews was employed. Development of the interview topic guide and analysis of the transcripts were informed by the Theoretical Domains Framework for behaviour change, which consists of fourteen theoretical domains that have been found to influence behaviour. Results Fourteen people with SMI and type 2 diabetes took part in the study. Participants considered diabetes self-management to be important, were aware of the risks of poor diabetes control but struggled to follow recommended advice, particularly if their mental health was poor. Support from family and health professionals was considered an important enabler of diabetes self-management. Conclusions New approaches are required to support diabetes self-management in people with SMI. This study identified some of the important domains that may be targeted in new interventions. [ABSTRACT FROM AUTHOR]

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 < 0.0001) taking into account all measurements. Fasting blood glucose also increased slightly with age (p = 0.028). With increasing use of statins, total cholesterol fell from 4.5 to 3.9 mmol/L (r² = 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. [ABSTRACT FROM AUTHOR]

Background: Excess mortality among people with severe mental illness (SMI) is largely attributed to co-morbid physical illness. Improving the physical health of this population is critically important; however, physical health monitoring among people with SMI is often inadequate. Aims: This study aimed to facilitate an enhanced understanding of barriers to successfully attend to clients’ physical health in mental health settings, through exploring care coordinators’ views and experiences regarding their ability to monitor physical health in clients with SMI (specifically, psychosis). Methods: Semi-structured interviews were conducted with seven care coordinators from a South East London (UK) community mental health team. Data were analysed using thematic analysis principles. Results: Three themes were identified in these data, capturing (1) how care coordinators viewed the professional roles of other clinical staff and themselves, (2) views on barriers to the provision of physical healthcare and (3) factors that motivated care coordinators to attend to clients’ physical health. Conclusion: Our findings can inform efforts to implement physical healthcare interventions within mental health settings. Such insights are timely, as academic literature and guidelines regarding clinical practice increasingly promote the value of integrated provision of mental and physical healthcare. [ABSTRACT FROM AUTHOR]

Aims The physical health of people with severe mental illness (SMI) is poor. Smoking-related illnesses are a major contributor to excess mortality and morbidity. An up-to-date review of the evidence for smoking cessation interventions in SMI is needed to inform clinical guidelines. Methods We searched bibliographic databases for relevant studies and independently extracted data. Included studies were randomized controlled trials (RCTs) of smoking cessation or reduction conducted in adult smokers with SMI. Interventions were compared to usual care or placebo. The primary outcome was smoking cessation and secondary outcomes were smoking reduction, change in weight, change in psychiatric symptoms and adverse events. Results We included eight RCTs of pharmacological and/or psychological interventions. Most cessation interventions showed moderate positive results, some reaching statistical significance. One study compared behavioural support and nicotine replacement therapy (NRT) to usual care and showed a risk ratio (RR) of 2.74 (95% CI 1.10–6.81) for short-term smoking cessation, which was not significant at longer follow-up. We pooled five trials that effectively compared bupropion to placebo giving an RR of 2.77 (95% CI 1.48–5.16), which was comparable to Hughes et al.'s 2009 figures for general population data; RR = 1.69 (95% CI 1.53–1.85). Smoking reduction data were too heterogeneous for meta-analysis, but results were generally positive. Trials suggest few adverse events. All trials recorded psychiatric symptoms and the most significant changes favoured the intervention groups over the control groups. Conclusions Treating tobacco dependence is effective in patients with SMI. Treatments that work in the general population work for those with severe mental illness and appear approximately equally effective. Treating tobacco dependence in patients with stable psychiatric conditions does not worsen mental state. [ABSTRACT FROM AUTHOR]

Objectives: Severe mental illness (SMI) is associated with premature cardiovascular disease, prompting the UK primary care payment-for-performance system (Quality and Outcomes Framework, QOF) to incentivise annual physical health reviews. This study aimed to assess the QOF's impact on detection and treatment of cardiovascular risk factors in people with SMI., Methods: A retrospective open cohort study of UK general practice was conducted between 1996 and 2014, using segmented logistic regression with 2004 and 2011 as break points, reflecting the introduction of relevant QOF incentives in these years. 67239 SMI cases and 359951 randomly-selected unmatched controls were extracted from the Clinical Practice Research Datalink (CPRD)., Results: There was strong evidence (p≤0.015) the 2004 QOF indicator (general health) resulted in an immediate increase in recording of elevated cholesterol (odds ratio 1.37 (95% confidence interval 1.24 to 1.51)); obesity (OR 1.21 (1.06 to 1.38)); and hypertension (OR 1.19 (1.04 to 1.38)) in the SMI group compared with the control group, which was sustained in subsequent years. Similar findings were found for diabetes, although the evidence was weaker (p = 0.059; OR 1.21 (0.99 to 1.49)). There was evidence (p<0.001) of a further, but unsustained, increase in recording of elevated cholesterol and obesity in the SMI group following the 2011 QOF indicator (cardiovascular specific). There was no clear evidence that the QOF indicators affected the prescribing of lipid modifying medications or anti-diabetic medications., Conclusion: Incentivising general physical health review for SMI improves identification of cardiovascular risk factors, although the additional value of specifically incentivising cardiovascular risk factor assessment is unclear. However, incentives do not affect pharmacological management of these risks.

Background: Excess mortality in severe mental illness (defined here as schizophrenia, schizoaffective disorders, and bipolar affective disorders) is well described, but little is known about this inequality in ethnic minorities. We aimed to estimate excess mortality for people with severe mental illness for five ethnic groups (white British, black Caribbean, black African, south Asian, and Irish) and to assess the association of ethnicity with mortality risk., Methods: We conducted a longitudinal cohort study of individuals with a valid diagnosis of severe mental illness between Jan 1, 2007, and Dec 31, 2014, from the case registry of the South London and Maudsley Trust (London, UK). We linked mortality data from the UK Office for National Statistics for the general population in England and Wales to our cohort, and determined all-cause and cause-specific mortality by ethnicity, standardised by age and sex to this population in 2011. We used Cox proportional hazards regression to estimate hazard ratios and a modified Cox regression, taking into account competing risks to derive sub-hazard ratios, for the association of ethnicity with all-cause and cause-specific mortality., Findings: We identified 18 201 individuals with a valid diagnosis of severe mental illness (median follow-up 6·36 years, IQR 3·26-9·92), of whom 1767 died. Compared with the general population, age-and-sex-standardised mortality ratios (SMRs) in people with severe mental illness were increased for a range of causes, including suicides (7·65, 95% CI 6·43-9·04), non-suicide unnatural causes (4·01, 3·34-4·78), respiratory disease (3·38, 3·04-3·74), cardiovascular disease (2·65, 2·45-2·86), and cancers (1·45, 1·32-1·60). SMRs were broadly similar in different ethnic groups with severe mental illness, although the south Asian group had a reduced SMR for cancer mortality (0·49, 0·21-0·96). Within the cohort with severe mental illness, hazard ratios for all-cause mortality and sub-hazard ratios for natural-cause and unnatural-cause mortality were lower in most ethnic minority groups relative to the white British group., Interpretation: People with severe mental illness have excess mortality relative to the general population irrespective of ethnicity. Among those with severe mental illness, some ethnic minorities have lower mortality than the white British group, for which the reasons deserve further investigation., Funding: UK Health Foundation and UK Academy of Medical Sciences., (Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license. Published by Elsevier Ltd.. All rights reserved.)

New mothers with severe mental illness (SMI) frequently experience significant difficulties in caring for their babies. There are no structured, evidence-based interventions that guide health professionals to help these women improve early parenting. The extensively researched and effective Triple P Positive Parenting Programme has recently been expanded to families with children less than 1 year old, which provides an opportunity to develop the intervention for women with severe postnatal mental illness. This study explored the views of mothers with SMI about the acceptability and feasibility of Baby Triple P (Baby TP) in the setting of a psychiatric Mother and Baby Unit (MBU). An 88-item Q-sort was conducted with a purposive sample of 15 mothers using Q-methodology. Three main factors were identified: ' what we need', ' what we want' and ' we can do it'. A consensus was noted with general agreement about the benefits of Baby TP, and suitability of the MBU environment to accommodate Baby TP. Baby TP was viewed as an acceptable and feasible parenting intervention and deemed positive and non-stigmatising. Mothers requested more staff awareness and knowledge about the programme so that they were supported in learning and generalising skills. [ABSTRACT FROM AUTHOR]

In many countries jails and prisons have replaced psychiatric hospitals as institutions of care for persons with severe mental illness (SMI). The lack of post-release treatment options to address the multiple and complex needs and problems faced by newly released inmates in this group increases the likelihood of re-offense, parole violation, and re-incarceration. This article reviews and evaluates innovative programs in the United States and the United Kingdom designed to properly assess inmates with SMI and link them to community services post release. The discussion includes ways to address the tension between public safety and better practices with inmates with SMI. [ABSTRACT FROM AUTHOR]

Accessible summary Literature suggests that ethnic minority groups are disadvantaged within current health care services in the UK. This study attempts to identify the rates and nature of unmet health and social needs across three ethnic groups., Inpatients of African ethnicity reported significantly less unmet needs than their White British counterparts., Unmet needs in the domains of psychotic symptoms, alcohol use and safety to self differed significantly across the three ethnic groups., Inpatients of White British heritage appeared to have more unmet needs and/or were more willing to disclose these compared to other ethnic groups., The ability to meet health and social needs is complicated by the presence of antisocial personality disorder and alcohol dependence., Abstract Health services are failing to meet the needs of ethnic minority groups with severe mental illness in the UK. Understanding these unmet social and health needs will assist service providers in developing culturally sensitive and responsive care pathways. Using a cross-sectional design, 165 service users were recruited from 10 acute inpatient wards across four South London boroughs. Needs were assessed using the Camberwell Assessment of Need Short Assessment Schedule and substance dependence and antisocial personality disorder were measured using the Alcohol Use Disorders Identification Test, Drug Use Disorders Identification Test and the Structured Clinical Interview for the Diagnostic and Statistical Manual for Mental Disorders. African, but not African-Caribbean, heritage continued to predict lower rates of reported unmet needs compared to White British ( P < 0.001) following multivariate analysis. Different patterns of unmet needs were observed across ethnic heritage groups. Antisocial personality disorder and alcohol dependence were also independently associated with unmet needs. Consideration of a patient's ethnic identity and comorbidities is essential for effective needs assessment within psychiatric and mental health nursing. [ABSTRACT FROM AUTHOR]

Objective: Obesity is common among people with severe mental illness (SMI). We report our experience from the first 4 years of The Cromwell House weight management clinic. Method: Ninety-three patients with SMI aged 43.7 ± 1.2 years referred themselves to this clinic. The patients were seen in weekly group sessions that involved weight measurement, discussion and education. Results: Mean baseline weight was 89.5 ± 1.8 kg [body mass index (BMI) 32.3 ± 0.5 kg/m2]. Twenty-three per cent dropped out within the first 8 weeks. There was progressive statistically significant reduction in mean weight and BMI throughout the duration of monitoring with no suggestion of a plateau. The mean final weight loss was 6.2 ± 0.6 kg. Weight loss was correlated only with the number of sessions attended ( r = 0.53, P < 0.0001). Conclusion: Long-term weight management of obese and overweight patients with severe forms of mental illness was possible through the provision of simple lifestyle advice within the group setting. [ABSTRACT FROM AUTHOR]