Severe mental illness diagnosis in English general hospitals 2006-2017: A registry linkage study

Impact of loneliness and living alone on negative symptoms in severe mental illness: An electronic health record data analysis

Important changes in symptom profiles occur early in the course of severe mental illness (SMI) after its clinical presentation. The emergence of negative symptoms is of particular concern for later function, and these may well have strong links with loneliness and poor social support which are also recognised to be common. However, the impact of loneliness and social isolation on symptoms and treatment outcomes remains unclear. To explore this, we conducted a retrospective observational analysis using data from electronic health records of a large mental health provider in London. Loneliness, living alone and symptoms of SMI were extracted using bespoke natural language processing algorithms. Symptoms were grouped into five domains: positive, negative, disorganised, manic, and catatonic, and were measured at diagnosis and 12 months following the initial SMI diagnosis. Loneliness and living alone were operationalised as binary variables, based on any recording during the follow-up period. A total of 8237 records were analysed. The prevalence of loneliness was 20.4 % and living alone 19.9 %, with only 6.8 % recorded with both. Recorded loneliness was associated with an increase in negative symptoms over the follow-up period, in models adjusted by sociodemographic variables and pharmacological treatment [OR 1.28 (1.11-1.48), p = 0.001], as was living alone to a weaker extent [OR 1.18 (1.02-1.36), p = 0.030]. No associations were found between either exposure variable and changes in symptoms from other domains. Given that negative symptoms are disabling and challenging to treat, these results highlight the importance of effective interventions to enhance social support in SMI over the early post-diagnostic period.

Antipsychotic management in general practice: serial cross-sectional study (2011-2020)

BACKGROUND

Long-term use of antipsychotics confers increased risk of cardiometabolic disease. Ongoing need should be reviewed regularly by psychiatrists.

AIM

To explore trends in antipsychotic management in general practice, and the proportions of patients prescribed antipsychotics receiving psychiatrist review.

DESIGN AND SETTING

Serial cross-sectional study using linked general practice and hospital data in Wales (2011-2020).

METHOD

Participants were adults (aged ≥18 years) registered with general practices in Wales. Outcome measures were prevalence of patients receiving ≥6 antipsychotic prescriptions annually, the proportion of patients prescribed antipsychotics receiving annual psychiatrist review, and the proportion of patients prescribed antipsychotics who were registered on the UK serious mental illness, depression, and/or dementia registers, or not on any of these registers.

RESULTS

Prevalence of adults prescribed long-term antipsychotics increased from 1.055% (95% confidence interval [CI] = 1.041 to 1.069) in 2011 to 1.448% (95% CI = 1.432 to 1.464) in 2020. The proportion receiving annual psychiatrist review decreased from 59.6% (95% CI = 58.9 to 60.4) in 2011 to 52.0% (95% CI = 51.4 to 52.7) in 2020. The proportion of overall antipsychotic use prescribed to patients on the serious mental illness register decreased from 50.0% (95% CI = 49.4 to 50.7) in 2011 to 43.6% (95% CI = 43.0 to 44.1) by 2020.

CONCLUSION

Prevalence of long-term antipsychotic use is increasing. More patients are managed by GPs without psychiatrist review and are not on monitored disease registers; they thus may be less likely to undergo cardiometabolic monitoring and miss opportunities to optimise or deprescribe antipsychotics. These trends pose risks for patients and need to be addressed urgently.

Integrating Subjective Recovery and Stigma Resistance in Individuals with Schizophrenia: A Narrative Review and Theoretical Integration

Stigmatised attitudes are known to be associated with negative outcomes in schizophrenia, yet there is little focus on the role of stigma in the recovery process. Attempts to develop interventions to reduce self-stigma in schizophrenia have not been found effective. This paper presents a theoretical integration based on a narrative review of the literature. PsycINFO, Medline and Embase databases were searched up to the 11th December 2023. Studies were included if they were: i) empirical studies using qualitative, quantitative or mixed methods studies investigating mental health stigma; ii) included participants based in the United Kingdom, fluent in English, between the ages of 16 and 70, meeting criteria for a schizophrenia spectrum diagnosis. Fourteen studies were included. In Part 1, we propose a novel theoretical model derived from a synthesis of service-user perspectives on the relationship between stigma and schizophrenia. Stigmatised attitudes were commonly perceived to be caused by a lack of education and further exacerbated by disinformation primarily through the media and cultural communities. Stigma led to negative self-perceptions, negative emotional responses, social isolation and increased symptom severity, ultimately acting as a barrier to recovery. In Part 2, we identify several factors that ameliorate the impact of stigma and promote clinical and subjective recovery among service-users: education, empowerment, self-efficacy, self-acceptance, hope and social support. We argue that the notion of stigma resistance may be helpful in developing new interventions aimed at promoting recovery in individuals with schizophrenia. Wider implications are discussed and recommendations for future research and practice are explored.

Recording of intellectual disability in general hospitals in England 2006-2019: Cohort study using linked datasets

BACKGROUND

Accurate recognition and recording of intellectual disability in those who are admitted to general hospitals is necessary for making reasonable adjustments, ensuring equitable access, and monitoring quality of care. In this study, we determined the rate of recording of intellectual disability in those with the condition who were admitted to hospital and factors associated with the condition being unrecorded.

METHODS AND FINDINGS

Retrospective cohort study using 2 linked datasets of routinely collected clinical data in England. We identified adults with diagnosed intellectual disability in a large secondary mental healthcare database and used general hospital records to investigate recording of intellectual disability when people were admitted to general hospitals between 2006 and 2019. Trends over time and factors associated with intellectual disability being unrecorded were investigated. We obtained data on 2,477 adults with intellectual disability who were admitted to a general hospital in England at least once during the study period (total number of admissions = 27,314; median number of admissions = 5). People with intellectual disability were accurately recorded as having the condition during 2.9% (95% CI 2.7% to 3.1%) of their admissions. Broadening the criteria to include a nonspecific code of learning difficulty increased recording to 27.7% (95% CI 27.2% to 28.3%) of all admissions. In analyses adjusted for age, sex, ethnicity, and socioeconomic deprivation, having a mild intellectual disability and being married were associated with increased odds of the intellectual disability being unrecorded in hospital records. We had no measure of quality of hospital care received and could not relate this to the presence or absence of a record of intellectual disability in the patient record.

CONCLUSIONS

Recognition and recording of intellectual disability in adults admitted to English general hospitals needs to be improved. Staff awareness training, screening at the point of admission, and data sharing between health and social care services could improve care for people with intellectual disability.

Ethnic inequities in multimorbidity among people with psychosis: a retrospective cohort study

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.

Patient-centric characterization of multimorbidity trajectories in patients with severe mental illnesses: A temporal bipartite network modeling approach

Multimorbidity is a major factor contributing to increased mortality among people with severe mental illnesses (SMI). Previous studies either focus on estimating prevalence of a disease in a population without considering relationships between diseases or ignore heterogeneity of individual patients in examining disease progression by looking merely at aggregates across a whole cohort. Here, we present a temporal bipartite network model to jointly represent detailed information on both individual patients and diseases, which allows us to systematically characterize disease trajectories from both patient and disease centric perspectives. We apply this approach to a large set of longitudinal diagnostic records for patients with SMI collected through a data linkage between electronic health records from a large UK mental health hospital and English national hospital administrative database. We find that the resulting diagnosis networks show disassortative mixing by degree, suggesting that patients affected by a small number of diseases tend to suffer from prevalent diseases. Factors that determine the network structures include an individual's age, gender and ethnicity. Our analysis on network evolution further shows that patients and diseases become more interconnected over the illness duration of SMI, which is largely driven by the process that patients with similar attributes tend to suffer from the same conditions. Our analytic approach provides a guide for future patient-centric research on multimorbidity trajectories and contributes to achieving precision medicine.

Psychiatric disorders among hospitalized patients deceased with COVID-19 in Italy

BACKGROUND

there is concern about the increased risk for SARS-CoV-2 infection, COVID-19 severe outcomes and disparity of care among patients with a psychiatric disorder (PD). Based on the Italian COVID-19 death surveillance, which collects data from all the hospitals throughout the country, we aimed to describe clinical features and care pathway of patients dying with COVID-19 and a preceding diagnosis of a PD.

METHODS

in this cross-sectional study, the characteristics of a representative sample of patients, who have died with COVID-19 in Italian hospitals between February 21st and August 3rd 2020, were drawn from medical charts, described and analysed by multinomial logistic regression according to the recorded psychiatric diagnosis: no PD, severe PD (SPD) (i.e. schizophrenia and other psychotic disorders, bipolar and related disorders), common mental disorder (CMD) (i.e. depression without psychotic features, anxiety disorders).

FINDINGS

the 4020 COVID-19 deaths included in the study took place in 365 hospitals across Italy. Out of the 4020 deceased patients, 84 (2•1%) had a previous SPD, 177 (4.4%) a CMD. The mean age at death was 78.0 (95%CI 77.6-78.3) years among patients without a PD, 71.8 (95%CI 69.3-72.0) among those with an SPD, 79.5 (95%CI 78.0-81.1) in individuals with a CMD. 2253 (61.2%) patients without a PD, 62 (73.8%) with an SPD, and 136 (78.2%) with a CMD were diagnosed with three or more non-psychiatric comorbidities.When we adjusted for clinically relevant variables, including hospital of death, we found that SPD patients died at a younger age than those without a PD (adjusted OR per 1 year increment 0.96; 95% CI 0.94-0.98). Women were significantly more represented among CMD patients compared to patients without previous psychiatric history (aOR 1.56; 95% CI 1.05-2.32). Hospital admission from long-term care facilities (LTCFs) was strongly associated with having an SPD (aOR 9.02; 95% CI 4.99-16.3) or a CMD (aOR 2.09; 95% CI 1.19-3.66). Comorbidity burden, fever, admission to intensive care and time from symptoms' onset to nasopharyngeal swab did not result significantly associated with an SPD or with a CMD in comparison to those without any PD.

INTERPRETATION

even where equal treatment is in place, the vulnerability of patients with a PD may reduce their chance of recovering from COVID-19. The promotion of personalised therapeutic projects aimed at including people with PD in the community rather than in non-psychiatric LTCFs should be prioritised.