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In the post-COVID-19 pandemic era, a ‘digital-first’ agenda is being adopted in health/social care services, while digital exclusion has not been fully addressed. People with severe mental illness face profound inequalities at many levels (i.e. social, financial and health). Digital exclusion may further exacerbate some of these inequalities.
Understanding the place of death for individuals with mental and behavioural disorders (MBDs) is essential for identifying disparities in healthcare access and outcomes, as well as addressing broader health inequities within this population.
Aims
To examine the place of death among individuals in Sweden with the underlying cause of death reported as a MBD and compare variations between diagnostic groups, as well as explore associations between place of death and individual, sociodemographic and clinical factors.
Method
This population-level analysis used death certificate data (gender, age, underlying cause of death and place of death) recorded between 2013 and 2019 and other national register data. MBD group differences were compared using chi-square tests (χ2) and multinominal logistic regressions explored variations in place of death.
Results
The final sample consisted of 2875 individuals. Our regression model revealed that individuals with MBDs other than intellectual disabilities were less likely to die in hospitals (odds ratio 0.60–0.134 [95% CI = 0.014–0.651]) or care homes (odds ratio 0.11–0.97 [95% CI = 0.003–0.355]) than at home. Substance use disorders were the most common underlying cause of death (61.3%). This group consisted predominantly of men (78.8%, χ2, P < 0.001), and tended to be younger (χ2, P < 0.001).
Conclusions
Individuals with intellectual and developmental disabilities are more likely to die in hospitals or care homes than at home. Those with MBDs, particularly substance use disorders, face a high risk of premature death, highlighting gaps in healthcare and palliative care provision for these populations.
Studies show that people with severe mental illness (SMI) have a greater risk of dying from colorectal cancer (CRC). These studies mostly predate the introduction of national bowel cancer screening programmes (NBCSPs) and it is unknown if these have reduced disparity in CRC-related mortality for people with SMI.
Methods
We compared mortality rates following CRC diagnosis at colonoscopy between a nationally representative sample of people with and without SMI who participated in Australia’s NBCSP. Participation was defined as the return of a valid immunochemical faecal occult blood test (iFOBT). We also compared mortality rates between people with SMI who did and did not participate in the NBCSP. SMI was defined as receiving two or more Pharmaceutical Benefits Scheme prescriptions for second-generation antipsychotics or lithium.
Results
Amongst NBCSP participants, the incidence of CRC in the SMI cohort was lower than in the controls (hazard ratio [HR] 0.77, 95% confidence interval [CI] 0.61–0.98). In spite of this, their all-cause mortality rate was 1.84 times higher (95% CI 1.12–3.03), although there was only weak evidence of a difference in CRC-specific mortality (HR 1.82; 95% CI 0.93–3.57). People with SMI who participated in the NBCSP had better all-cause survival than those who were invited to participate but did not return a valid iFOBT (HR 0.67, 95% CI 0.50–0.88). The benefit of participation was strongest for males with SMI and included improved all-cause and CRC-specific survival.
Conclusions
Participation in the NBCSP may be associated with improved survival following a CRC diagnosis for people with SMI, especially males, although they still experienced greater mortality than the general population. Approaches to improving CRC outcomes in people with SMI should include targeted screening, and increased awareness about the benefits or participation.
Trial registration
Australian and New Zealand Clinical Trials Registry (Trial ID: ACTRN12620000781943).
There is a lack of large-scale studies exploring labor market marginalization (LMM) among individuals diagnosed with bipolar disorder (BD). We aimed to investigate the association of BD with subsequent LMM in Sweden, and the effect of sex on LMM in BD.
Methods
Individuals aged 19–60 years living in Sweden with a first-time BD diagnosis between 2007 and 2016 (n = 25 231) were followed from the date of diagnosis for a maximum of 14 years. Risk of disability pension (DP), long-term sickness absence (SA) (>90 days), and long-term unemployment (>180 days) was compared to a matched comparison group from the general population, matched 1:5 on sex and birth year (n = 126 155), and unaffected full siblings (n = 24 098), using sex-stratified Cox regression analysis, yielding hazard ratios (HRs) with 95% confidence intervals (CIs).
Results
After adjusting for socioeconomic factors, baseline labor market status, and comorbid disorders, individuals with BD had a significantly higher risk of DP compared to the general population (HR = 16.67, 95% CI 15.33–18.13) and their unaffected siblings (HR = 5.54, 95% CI 4.96–6.18). Individuals with BD were also more likely to experience long-term SA compared to the general population (HR = 3.19, 95% CI 3.09–3.30) and their unaffected siblings (HR = 2.83, 95% CI 2.70–2.97). Moreover, individuals diagnosed with BD had an elevated risk of long-term unemployment relative to both comparison groups (HR range: 1.75–1.78). Men with BD had a higher relative risk of SA and unemployment than women. No difference was found in DP.
Conclusions
Individuals with BD face elevated risks of LMM compared to both the general population and unaffected siblings.
Severe mental illness (SMI), which includes schizophrenia, schizoaffective disorder and bipolar disorder, has profound health impacts, even in the elderly.
Aims
To evaluate relative risk of hospital admission and length of hospital stay for physical illness in elders with SMI.
Method
To construct a population-based retrospective cohort observed from April 2007 to March 2016, data from a case registry with full but de-identified electronic health records were retrieved for patients of the South London and Maudsley NHS Foundation Trust, the single secondary mental healthcare service provider in south-east London. We compared participants with SMI aged >60 years old with the general population of the same age and residing in the same areas through data linkage by age-, sex- and fiscal-year-standardised admission ratios (SARs) for primary diagnoses at hospital discharge. Furthermore, we compared the duration of hospital stay with an age-, sex- and cause-of-admission-matched random group by linear regression for major causes of admission.
Results
In total, records for 4175 older people with SMI were obtained, relating to 10 342 admission episodes, showing an overall SAR for all physical illnesses of 5.15 (95% CI: 5.05, 5.25). Among the top causes of admission, SARs ranged from 3.87 for circulatory system disorders (ICD-10 codes: I00–I99) to 6.99 for genitourinary system or urinary conditions (N00–N39). Specifically, the diagnostic group of ‘symptoms, signs and findings, not elsewhere classified’ (R00–R99) had an elevated SAR of 6.56 (95% CI: 6.22, 6.90). Elders with SMI also had significantly longer hospital stays than their counterparts in the general population, especially for digestive system illnesses (K00–K93), after adjusting for confounding.
Conclusions
Poorer overall physical health and specific patterns were identified in elders with SMI.
The physical health comorbidities and premature mortality experienced by people with mental illness has led to an increase in exercise services embedded as part of standard care in hospital-based mental health services. Despite the increase in access to exercise services for people experiencing mental illness, there is currently a lack of guidelines on the assessment and triage of patients into exercise therapy.
Aims
To develop guidelines for the pre-exercise screening and health assessment of patients engaged with exercise services in hospital-based mental healthcare and to establish an exercise therapy triage framework for use in hospital-based mental healthcare.
Method
A Delphi technique consisting of two online surveys and two rounds of focus group discussions was used to gain consensus from a multidisciplinary panel of experts.
Results
Consensus was reached on aspects of pre-exercise health screening, health domain assessment, assessment tools representing high-value clinical assessment, and the creation and proposed utilisation of an exercise therapy triage framework within exercise therapy.
Conclusions
This study is the first of its kind to provide guidance on the implementation of exercise therapy within Australian hospital-based mental healthcare. The results provide recommendations for appropriate health assessment and screening of patients in exercise therapy, and provide guidance on the implementation and triage of patients into exercise therapy via a stepped framework to determine (a) the timeliness of exercise therapy required and (b) the level of support required in the delivery of their exercise therapy.
Cancer is one of the main causes of death in persons with severe mental illness (SMI). Although their cancer incidence is similar, or sometimes even potentially lower compared to the general population, their cancer mortality remains higher. The role of healthcare provision and care equity in this mortality is increasingly being addressed in research, but available studies are limited in their scope. In this context, our aim was to compare colorectal cancer (CRC) care pathways from screening to end-of-life care in patients with and without pre-existing SMI on a national scale.
Methods
This research leverages real-world data from the French national health claims database, covering the entire population, to assess cancer screening, diagnosis, treatment and post-treatment follow-up as well as quality of care (QOC) pathways among patients with incident CRC in 2015–2018, considering whether they had pre-existing SMI. We matched patients with SMI with three patients without – on age, sex, region of residence, year of cancer incidence and cancer type and location at presentation – as well as nationally established quality of CRC care indicators and regression models adjusting for relevant socio-economic, clinical and care provider-related covariates.
Results
Among patients with incident CRC, 1,532 individuals with pre-existing SMI were matched with individuals without SMI. After adjusting for covariates, both colon and rectal cancer patients with SMI were less likely to participate in the national CRC screening programme and to receive advanced diagnostic examinations (e.g., colonoscopies and several complementary diagnostic examinations). They also had lower odds of receiving combined treatments (e.g., neoadjuvant chemotherapy, radiotherapy and excision) and of having access to targeted therapy or capecitabine but higher odds for invasive care (e.g., stoma). Colon cancer patients with SMI were also more likely to have no treatment at all, and rectal cancer patients with SMI were less likely to receive post-treatment follow-up. Suboptimal QOC was observed for both groups of patients, but to a higher extent for patients with SMI, with statistically significant differences for indicators focusing on diagnosis and post-treatment follow-up.
Conclusions
Our findings reveal discrepancies across the care continuum of CRC between individuals with and without SMI and provide initial avenues on where to focus future efforts to address them, notably at the entry and exit stages of cancer care pathways, while calling for further research on the mechanisms preventing equity of physical healthcare for individuals with SMI.
Edited by
David Kingdon, University of Southampton,Paul Rowlands, Derbyshire Healthcare NHS foundation Trust,George Stein, Emeritus of the Princess Royal University Hospital
This chapter emphasises the importance of the physical health history to holistic psychiatric case assessment. It describes the general approach to this and sets this particularly in the context of patients with serious or severe mental illness. Such patients have substantially increased morbidity and mortality from physical causes compared to the general population, and this increased mortality has been clearly documented for nearly two hundred years. A practical, collaborative and optimistic multilevel approach to attempting to make a difference to these outcomes is described, concluding with fourteen broad, practical areas for achievable interventions.
Studies investigating parenthood and how it affects long-term outcomes are lacking among individuals with schizophrenia spectrum disorders. This study aimed to examine the life of participants 20 years after their first diagnosis with a special focus on parenthood, clinical illness course, and family-related outcomes.
Methods
Among 578 individuals diagnosed with first-episode schizophrenia spectrum disorder between 1998 and 2000, a sample of 174 participants was reassessed at the 20-year follow-up. We compared symptom severity, remission, clinical recovery, and global functioning between 75 parents and 99 non-parents. Also, family functioning scored on the family assessment device, and the children's mental health was reported. We collected longitudinal data on psychiatric admission, supported housing, and work status via the Danish registers.
Results
Participants with offspring had significantly lower psychotic (mean (s.d.) of 0.89 (1.46) v. 1.37 (1.44), p = 0.031) negative (mean [s.d.] of 1.13 [1.16] v. 1.91 [1.07], p < 0.001) and disorganized symptom scores (mean [s.d.] of 0.46 [0.80] v. 0.85 [0.95], p = 0.005) and more were in remission (59.5% v. 22.4%, p < 0.001) and in clinical recovery (29.7% v. 11.1%, p = 0.002) compared to non-parents. When investigating global functioning over 20 years, individuals becoming parents after their first diagnosis scored higher than individuals becoming parents before their first diagnosis and non-parents. Regarding family-related outcomes, 28.6% reported unhealthy family functioning, and 10% of the children experienced daily life difficulties.
Conclusions
Overall, parents have more favorable long-term outcomes than non-parents. Still, parents experience possible challenges regarding family functioning, and a minority of their children face difficulties in daily life.
Three groups of severe mental illness have disproportionately high rates of suicide – Schizophrenia, bipolar disorder, and anorexia nervosa – but effective treatment can save lives. Despite more positive conversations about mental health, we often avoid the very mention of schizophrenia and psychotic disorders. It is impossible and unsafe to support a seriously mentally ill person unaided. Clinicians and lay carers need to be part of a mutually supportive network. Integrating care involves a series of permissions - preferably arranged in advance – to communicate with confidentiality, privacy and dignity. Effective treatment of acute psychoses involves thoughtful prescribing and monitoring of medication. It is understandable to feel angry and sad about having an illness that interrupts life and education. There are effective treatments even for the most severe mental illnesses that affect young students. However, it takes far longer to see recovery than with most physical conditions. Policies on admissions, fitness to study and time taken out of studies need to take account of this. Students usually need care to be transferred to the location of the family home and later back again. NHS teams may be able to use telemedicine to communicate with a distant University.
Medicines optimisation ensures that people get the best possible outcomes from their medicines. As those with severe mental illness (SMI) are frequently prescribed psychotropic medicines with potentially significant side-effects, poor adherence to treatment and physical morbidity are common. This results in suboptimal symptom control, physical health problems and negative health outcomes. The specialist mental health pharmacist (SMHP) is best placed to provide leadership for medicines optimisation in the inpatient mental health setting. By adopting a patient-centred approach to providing information, improving adherence, screening, initiating and maintaining medicines, and supporting self-advocacy, the SMHP can ensure the patients’ experience of taking medicines is optimised. As there is currently limited understanding of what a baseline clinical pharmacy service in a mental health setting looks like, we aim to outline a framework for pharmacist-led medicines optimisation for those with SMI. This framework is suitable to be scaled and adapted to other settings.
Obesity is one of the major contributors to the excess mortality seen in people with severe mental illness (SMI) and in low- and middle-income countries people with SMI may be at an even greater risk. In this study, we aimed to determine the prevalence of obesity and overweight in people with SMI and investigate the association of obesity and overweight with sociodemographic variables, other physical comorbidities, and health-risk behaviours. This was a multi-country cross-sectional survey study where data were collected from 3989 adults with SMI from three specialist mental health institutions in Bangladesh, India, and Pakistan. The prevalence of overweight and obesity was estimated using Asian BMI thresholds. Multinomial regression models were then used to explore associations between overweight and obesity with various potential determinants. There was a high prevalence of overweight (17·3 %) and obesity (46·2 %). The relative risk of having obesity (compared to normal weight) was double in women (RRR = 2·04) compared with men. Participants who met the WHO recommendations for fruit and vegetable intake had 2·53 (95 % CI: 1·65–3·88) times greater risk of having obesity compared to those not meeting them. Also, the relative risk of having obesity in people with hypertension is 69 % higher than in people without hypertension (RRR = 1·69). In conclusion, obesity is highly prevalent in SMI and associated with chronic disease. The complex relationship between diet and risk of obesity was also highlighted. People with SMI and obesity could benefit from screening for non-communicable diseases, better nutritional education, and context-appropriate lifestyle interventions.
Mental health related stigma and discrimination is a universal phenomenon and a contributor to the adversity experienced by people with schizophrenia. Research has produced inconsistent findings on how discrimination differs across settings and the contextual factors that underpin these differences. This study investigates the association between country-level Human Development Index (HDI) and experienced and anticipated discrimination reported by people with schizophrenia.
Methods
This study is a secondary data analysis of a global cross-sectional survey completed by people living with schizophrenia across 29 countries, between 2005 and 2008. Experienced and anticipated discrimination were assessed using the Discrimination and Stigma Scale (DISC-10). Countries were classified according to their 2006 HDI. Negative binomial and Poisson regression analyses with a robust standard errors approach were conducted to investigate associations between country-level HDI and discrimination.
Results
In the regression analyses, no evidence was found for a linear association between HDI and experienced or anticipated discrimination. Further exploratory analyses showed a significant non-linear association between HDI ratings and experienced discrimination. Participants in “high” and “very high” HDI countries reported more experienced discrimination compared to those in “medium” HDI countries.
Conclusions
HDI does, to some extent, appear to be associated with how far discrimination is experienced across different contexts. More high-quality cross-national research, including research focused on “medium” and “low” countries, is needed to substantiate these findings and identify underlying factors that may explain the pattern observed for experienced discrimination, including generating new datasets that would enable for these analyses to be repeated and contrasted with more recent data. An in-depth understanding of these factors will further aid the adaptation of cross-cultural and context specific anti-stigma interventions in future.
The association of COVID-19 with death in people with severe mental illness (SMI), and associations with multimorbidity and ethnicity, are unclear.
Aims
To determine all-cause mortality in people with SMI following COVID-19 infection, and assess whether excess mortality is affected by multimorbidity or ethnicity.
Method
This was a retrospective cohort study using primary care data from the Clinical Practice Research Database, from February 2020 to April 2021. Cox proportional hazards regression was used to estimate the effect of SMI on all-cause mortality during the first two waves of the COVID-19 pandemic.
Results
Among 7146 people with SMI (56% female), there was a higher prevalence of multimorbidity compared with the non-SMI control group (n = 653 024, 55% female). Following COVID-19 infection, the SMI group experienced a greater risk of death compared with controls (adjusted hazard ratio (aHR) 1.53, 95% CI 1.39–1.68). Black Caribbean/Black African people were more likely to die from COVID-19 compared with White people (aHR = 1.22, 95% CI 1.12–1.34), with similar associations in the SMI group and non-SMI group (P for interaction = 0.73). Following infection with COVID-19, for every additional multimorbidity condition, the aHR for death was 1.06 (95% CI 1.01–1.10) in the SMI stratum and 1.16 (95% CI 1.15–1.17) in the non-SMI stratum (P for interaction = 0.001).
Conclusions
Following COVID-19 infection, patients with SMI were at an elevated risk of death, further magnified by multimorbidity. Black Caribbean/Black African people had a higher risk of death from COVID-19 than White people, and this inequity was similar for the SMI group and the control group.
Severe mental illness (SMI) is associated with significant morbidity. Frailty combines biological ageing, comorbidity and psychosocial factors and can predict adverse health outcomes. Emerging evidence indicates that frailty is higher in individuals with SMI than in the general population, although studies have been limited by sample size.
Aims
To describe the prevalence of frailty in people with SMI in a large cohort using three different frailty measures and examine the impact of demographic and sociodemographic variables.
Method
The UK Biobank survey data, which included individuals aged 37–73 years from England, Scotland and Wales from 2006 to 2010, with linked in-patient hospital episodes, were utilised. The prevalence of frailty in individuals with and without SMI was assessed through three frailty measures: frailty index, physical frailty phenotype (PFP) and Hospital Frailty Risk Score (HFRS). Stratified analysis and dichotomous logistic regression were conducted.
Results
A frailty index could be calculated for 99.5% of the 502 412 UK Biobank participants and demonstrated greater prevalence of frailty in women and an increase with age. The prevalence of frailty for those with SMI was 3.19% (95% CI 3.0–3.4), 4.2% (95% CI 3.8–4.7) and 18% (95% CI 15–23) using the frailty index, PFP and HFRS respectively. The prevalence ratio was between 3 and 18 times higher than in those without SMI.
Conclusions
As a measure, frailty captures the known increase in morbidity associated with SMI and may potentially allow for earlier identification of those who will benefit from targeted interventions.
Research regarding quitting cannabis use often excludes patients with severe mental illness (SMI). We investigated facilitating and impeding factors in SMI patients and their advice to others, using semi-structured interviews with 12 SMI-patients, who were daily cannabis users for ≥12 months and had fully stopped using for ≥6 months.
Results
Seeking distraction, social contacts in personal environment, avoiding temptation and support from professionals were facilitating factors in stopping. Impeding factors were withdrawal symptoms, user environment, experiencing stress and user's routine. Advice to other patients included to just do it, seek support from others, quit ‘cold turkey’ and acknowledge that cannabis use is a problem. Advice to mental health professionals is to discuss cannabis use from the start of treatment.
Clinical implications
It is important to inform patients that cannabis use has negative consequences and limits the effects of treatment. Do not judge cannabis use or force the patient to stop.
Inpatient equivalent home treatment (IEHT), implemented in Germany since 2018, is a specific form of home treatment. Between 2021 and 2022, IEHT was compared to inpatient psychiatric treatment in a 12-months follow-up quasi-experimental study with two propensity score matched cohorts in 10 psychiatric centers in Germany. This article reports results on the treatment during the acute episode and focuses on involvement in decision-making, patient satisfaction, and drop-out rates.
Methods
A total of 200 service users receiving IEHT were compared with 200 matched statistical “twins” in standard inpatient treatment. Premature termination of treatment as well as reasons for this was assessed using routine data and a questionnaire. In addition, we measured patient satisfaction with care with a specific scale. For the evaluation of patient involvement in treatment decisions, we used the 9-item Shared Decision Making Questionnaire (SDM-Q-9).
Results
Patients were comparable in both groups with regard to sociodemographic and clinical characteristics. Mean length-of-stay was 37 days for IEHT and 28 days for inpatient treatment. In both groups, a similar proportion of participants stopped treatment prematurely. At the end of the acute episode, patient involvement in decision-making (SDM-Q-9) as well as treatment satisfaction scores were significantly higher for IEHT patients compared to inpatients.
Conclusions
Compared to inpatient care, IEHT treatment for acute psychiatric episodes was associated with higher treatment satisfaction and more involvement in clinical decisions.
People with severe mental illness (SMI) die prematurely, mostly due to preventable causes.
Objective
To examine multimorbidity and mortality in people living with SMI using linked administrative datasets.
Method
Analysis of linked electronically captured routine hospital administrative data from Northern Ireland (2010–2021). We derived sex-specific age-standardised rates for seven chronic life-limiting physical conditions (chronic kidney disease, malignant neoplasms, diabetes mellitus, chronic obstructive pulmonary disease, chronic heart failure, myocardial infarction, and stroke) and used logistic regression to examine the relationship between SMI, socio-demographic indicators, and comorbid conditions; survival models quantified the relationship between all-cause mortality and SMI.
Results
Analysis was based on 929,412 hospital patients aged 20 years and above, of whom 10,965 (1.3%) recorded a diagnosis of SMI. Higher likelihoods of an SMI diagnosis were associated with living in socially deprived circumstances, urbanicity. SMI patients were more likely to have more comorbid physical conditions than non-SMI patients, and younger at referral to hospital for each condition, than non-SMI patients. Finally, in fully adjusted models, SMI patients had a twofold excess all-cause mortality.
Conclusion
Multiple morbidities associated with SMI can drive excess mortality. While SMI patients are younger at referral to treatment for these life-limiting conditions, their relatively premature death suggests that these conditions are also quite advanced. There is a need for a more aggressive approach to improving the physical health of this population.
People with severe mental illness (SMI), including schizophrenia and related psychoses and bipolar disorder, are at greater risk for obesity compared with people without mental illness. An altered resting metabolic rate (RMR) may be a key driving factor; however, published studies have not been systematically reviewed. This systematic review and meta-analysis aimed to determine whether the RMR of people with SMI assessed by indirect calorimetry differs from (i) controls, (ii) predictive equations and (iii) after administration of antipsychotic medications. Five databases were searched from database inception to March 2022. Thirteen studies providing nineteen relevant datasets were included. Study quality was mixed (62 % considered low quality). In the primary analysis, RMR in people with SMI did not differ from matched controls (n 2, standardised mean difference (SMD) = 0·58, 95 % CI −1·01, 2·16, P = 0·48, I2 = 92 %). Most predictive equations overestimated RMR. The Mifflin–St. Jeor equation appeared to be most accurate (n 5, SMD = −0·29, 95 % CI −0·73, 0·14, P = 0·19, I2 = 85 %). There were no significant changes in RMR after antipsychotic administration (n 4, SMD = 0·17, 95 % CI −0·21, 0·55, P = 0·38, I2 = 0 %). There is little evidence to suggest there is a difference in RMR between people with SMI and people without when matched for age, sex, BMI and body mass, or that commencement of antipsychotic medication alters RMR.