Daniela Fonseca de Freitas

Purpose: Studies have found that the Mental Health Act is used disproportionally among minoritised ethnicities. Yet, little research has been conducted to understand how the intersectionality of ethnicity with sociodemographic factors relates to involuntary admission. This study aimed to investigate whether an association between ethnicity and involuntary hospitalisation is altered by variations in service-users’ sociodemographic positions. Methods: A retrospective cohort study using records from the South London and Maudsley identified 18,569 service-users with a first episode of hospitalisation in a 13-year period. Logistic regression was used to calculate odds ratios for involuntary hospitalisation across ethnicities while adjusting for sociodemographic (age, gender, area-level deprivation, homelessness, and migration) and clinical factors (psychiatric diagnosis and HoNOS scores). Interaction analysis was conducted to identify intersectional effects between ethnicity and sociodemographic variables, potentially modifying the odds ratios of involuntary admission across ethnic groups. Results: Increased odds of involuntary hospitalisation compared to White British service-users were observed among 10 of the 14 ethnicities, with around, or just under twice the odds observed for Asian Chinese, Black African, and Black Caribbean. Women were found to have increased odds of involuntary admission. Significant interactions were present between ethnicity and age, area-level deprivation, homelessness, and migration in the unadjusted models. These effect modifications were not significant after adjustment for confounders. Conclusions: Ethnic inequalities were observed in involuntary hospitalisation among service-users on first admission. No evidence of intersectional effects was present when adjusting for sociodemographic and clinical factors. Further research needs to identify the mechanisms causing the inequalities.

The Covid-19 pandemic showed higher infection, severity and death rates among those living in poorer socioeconomic conditions. We use syndemic theory to guide the analyses to investigate the impact of social adversity and multiple long-term conditions (MLTC) on Covid-19 mortality. The study sample comprised 154 725 UK Biobank participants. Structural equation modeling was used to investigate pathways between traumatic events, economic deprivation, unhealthy behaviors, MLTC, for Covid-19 mortality. Cox regression analysis was used to investigate MLTC and Covid-19 mortality. We also tested effect modification by traumatic events, economic deprivation and unhealthy behaviors. Covid-19 mortality (n = 186) was directly explained by overall level of MLTC. Economic deprivation and unhealthy behaviors contributed to Covid-19 death indirectly via their negative impact on MLTC. The risk for Covid-19 mortality grew exponentially for every quintile of predicted scores of MLTC. The presence of traumatic events, economic deprivation or unhealthy behaviors did not modify the impact of MLTC on Covid-19 mortality. Results suggest a serially causal pathway between economic deprivation and unhealthy behaviors leading to MLTC, which increased the risk of Covid-19 mortality. Policies to tackle the social determinants of health and to mitigate the negative impact of multimorbidity are needed.

Syndemic theory is described as population-level clustering or co-occurrence of health conditions in the context of shared aetiologies that interact and can act synergistically. These influences appear to act within specific places of high disadvantage. We suggest ethnic inequality in experiences and outcomes of multimorbidity, including psychosis, may be explained through a syndemic framework. We discuss the evidence for each component of syndemic theory in relation to psychosis, using psychosis and diabetes as an exemplar. Following this, we discuss the practical and theoretical adaptations to syndemic theory in order to apply it to psychosis, ethnic inequality and multimorbidity, with implications for research, policy, and practice.

Happiness is related to longevity and better health; nevertheless, there is a lack of knowledge about the construct, understood as subjective well-being (SWB), of older adults undergoing hemodialysis. This cross-sectional study investigated the extent to which hemodialysis treatment affects the SWB of older adults, compared to non-dialysis older adults. Regarding this, a total of 126 participants have interviewed: all the older adults in the hemodialysis service, 42 patients, from a city in Brazil, and 84 older adults from the Community, age- and gender-matched, predominantly men (64.3%), aged between 60 and 81 years. Participants respond to pattern questionnaires about SWB (life satisfaction, positive affect, negative affect), depressive symptoms, sociodemographic characteristics, and physical health status. Analysis of variance presented in hemodialysis had no effect on SWB and depressive symptoms. Furthermore, participants in the hemodialysis had fewer years of schooling, and those in the community presented more diseases. The high number of illnesses and low educational level demonstrate effects on SWB, as well the length of hemodialysis is negatively associated with SWB. Therefore, hemodialysis by itself does not make older adults unhappier and depressive, but some variables depending on the socioeconomical status and length of treatment are associated with depression and worst SWB.

Background: Studies show ethnic inequalities in rates of involuntary admission and types of clinical care (such as psychological therapies). However, few studies have investigated if there is a relationship between clinical care practices and ethnic inequalities in involuntary admission.Aims: This study investigated the impact of ethnicity and clinical care on involuntary admission and the potential mediation effects of prior clinical care.Method: In this retrospective cohort study, we used data from the electronic records of the South London and Maudsley NHS Foundation Trust and identified patients with a first hospital admission between January 2008 and May 2021. Logistic regression and mediation analyses were used to investigate the association between ethnicity and involuntary admission, and whether clinical care, in the 12 months preceding admission, mediates the association.Results: Compared with White British people, higher odds of involuntary admission were observed among 10 of 14 minority ethnic groups; with more than twice the odds observed among people of Asian Chinese, of Asian Bangladeshi and of any Black background. There were some ethnic differences in clinical care prior to admission, but these had a minimal impact on the inequalities in involuntary admission. More out-patient appointments and home treatment were associated with higher odds of involuntary admission, whereas psychological therapies and having a care plan were associated with reduced odds of involuntary admission.Conclusions: Ethnic inequalities in involuntary admission persist after accounting for potential mediating effects of several types and frequencies of clinical care. Promoting access to psychological therapies and ensuring that care plans are in place may reduce involuntary admissions.

Background: There is evidence of heterogeneity within treatment-resistant schizophrenia (TRS), with some people not responding to antipsychotic treatment from illness onset and others becoming treatment-resistant after an initial response period. These groups may have different aetiologies. Aim: This study investigates sociodemographic and clinical correlates of early onset of TRS. Method: Employing a retrospective cohort design, we do a secondary analysis of data from a cohort of people with TRS attending the South London and Maudsley. Regression analyses were conducted to identify the correlates of the length of treatment to TRS. Predictors included the following: gender, age, ethnicity, problems with positive symptoms, problems with activities of daily living, psychiatric comorbidities, involuntary hospitalisation and treatment with long-acting injectable antipsychotics. Results: In a cohort of 164 people with TRS (60% were men), the median length of treatment to TRS was 3 years and 8 months. We observed no cut-off on the length of treatment until TRS presentation differentiating between early and late TRS (i.e. no bimodal distribution). Having mild to very severe problems with hallucinations and delusions at the treatment start was associated with earlier TRS (~19 months earlier). In sensitivity analyses, including only complete cases (subject to selection bias), treatment with a long-acting injectable antipsychotic was additionally associated with later TRS (~15 months later). Conclusion: Our findings do not support a clear separation between early and late TRS but rather a continuum of the length of treatment before TRS onset. Having mild to very severe problems with positive symptoms at treatment start predicts earlier onset of TRS.

Objectives: To develop a prognostic tool of treatment resistant schizophrenia (TRS) in a large and diverse clinical cohort, with comprehensive coverage of patients using mental health services in four London boroughs.Methods: We used the Least Absolute Shrinkage and Selection Operator (LASSO) for time-to-event data, to develop a risk prediction model from the first antipsychotic prescription to the development of TRS, using data from electronic health records.Results: We reviewed the clinical records of 1,515 patients with a schizophrenia spectrum disorder and observed that 253 (17%) developed TRS. The Cox LASSO survival model produced an internally validated Harrel’s C index of 0.60. A Kaplan-Meier curve indicated that the hazard of developing TRS remained constant over the observation period. Predictors of TRS were: having more inpatient days in the three months before and after the first antipsychotic, more community face-to-face clinical contact in the three months before the first antipsychotic, minor cognitive problems, and younger age at the time of the first antipsychotic.Conclusions: Routinely collected information, readily available at the start of treatment, gives some indication of TRS but is unlikely to be adequate alone. These results provide further evidence that earlier onset is a risk factor for TRS.

Aims: Research shows persistent ethnic inequities in mental health experiences and outcomes, with a higher incidence of illnesses among minoritised ethnic groups. People with psychosis have an increased risk of multiple long-term conditions (MLTC; multimorbidity). However, there is limited research regarding ethnic inequities in multimorbidity in people with psychosis. This study investigates ethnic inequities in physical health multimorbidity in a cohort of people with psychosis. Methods: In this retrospective cohort study, using the Clinical Records Interactive Search (CRIS) system, we identified service-users of the South London and Maudsley NHS Trust with a schizophrenia spectrum disorder, and then additional diagnoses of diabetes, hypertension, low blood pressure, overweight or obesity and rheumatoid arthritis. Logistic and multinomial logistic regressions were used to investigate ethnic inequities in odds of multimorbidity (psychosis plus one physical health condition), and multimorbidity severity (having one or two physical health conditions, or three or more conditions), compared with no additional health conditions (no multimorbidity), respectively. The regression models adjusted for age and duration of care and investigated the influence of gender and area-level deprivation. Results: On a sample of 20 800 service-users with psychosis, aged 13–65, ethnic differences were observed in the odds for multimorbidity. Controlling for sociodemographic factors and duration of care, compared to White British people, higher odds of multimorbidity were found for people of Black African [adjusted Odds Ratio = 1.41, 95% Confidence Intervals (1.23–1.56)], Black Caribbean [aOR = 1.79, 95% CI (1.58–2.03)] and Black British [aOR = 1.64, 95% CI (1.49–1.81)] ethnicity. Reduced odds were observed among people of Chinese [aOR = 0.61, 95% CI (0.43–0.88)] and Other ethnic [aOR = 0.67, 95% CI (0.59–0.76)] backgrounds. Increased odds of severe multimorbidity (three or more physical health conditions) were also observed for people of any Black background. Conclusions: Ethnic inequities are observed for multimorbidity among people with psychosis. Further research is needed to understand the aetiology and impact of these inequities. These findings support the provision of integrated health care interventions and public health preventive policies and actions.

Clozapine is the only licenced medication for treating treatment-resistant schizophrenia. Previous studies have suggested unequal rates of clozapine treatment by ethnicity among individuals with schizophrenia-spectrum disorders. One previous review has investigated this topic but was restricted to studies from the USA. This current review aims to synthesise the international literature regarding ethnic disparities in clozapine prescription amongst individuals with schizophrenia-spectrum disorders. We searched CINAHL, PubMed, Medline, Embase, APA PsycINFO and Open Grey and reviewed studies reporting on the proportion of service-users prescribed clozapine separately for different ethnic groups, in individuals with a primary diagnosis of schizophrenia or any schizophrenia-spectrum disorders. A narrative synthesis was conducted to integrate information from included studies. The review was registered in PROSPERO (Number: CRD42020221731). From 24 studies, there is strong, consistent evidence that Black and Hispanic service-users in the UK and the USA are significantly less likely to receive clozapine than White/Caucasian service-users after controlling for multiple demographic and clinical potential confounders. In New Zealand, Māori service-users were reported to be more likely to receive clozapine than those of White/European ethnicity. There is mixed evidence regarding Asian service-users in the UK. The mentioned disparities were observed in studies with TRS and non-TRS cohorts. The results imply that access to clozapine treatment varies among ethnic groups. These findings raise an ethical concern as they suggest a compromise of the standards of care in schizophrenia treatment practices. Interventions are needed to reduce clozapine prescribing disparities among ethnic communities.

A discriminação tem um impacto negativo na saúde mental e nos desfechos acadêmicos e socioemocionais das pessoas. Um dos instrumentos mais usados para medir a frequência de experiências de discriminação é a Escala de Discriminação Cotidiana. Contudo, esta escala não foi ainda adaptada ao contexto brasileiro. Desta forma, o objetivo deste estudo foi adaptar e validar a Escala de Discriminação Cotidiana em uma amostra de adolescentes e jovens brasileiros de nível socioeconômico baixo e descrever os motivos de discriminação mais prevalentes. Analisou-se as equivalências linguísticas e a estrutura factorial da escala. A amostra foi composta de 995 estudantes pobres, advindos do Ensino Fundamental de cinco escolas públicas do Estado do Rio de Janeiro e de duas universidades públicas do Estado do Ceará, com idade entre 11 e 29 anos (M = 15,81, DP = 3,55), 54,8% constituída por mulheres (n = 522). A Análise Fatorial Exploratória realizada revelou uma estrutura unifatorial, com boa confiabilidade e validade. Os motivos de discriminação mais frequentes foram a aparência física e o nível socioeconômico. Os achados sugerem que a versão adaptada da escala apresenta qualidades psicométricas que permitem a sua utilização junto a adolescentes e jovens brasileiros.